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    <title>Raw Data</title>
    <link>http://www.rawdatapodcast.com</link>
    <pubDate>Thu, 21 Nov 2019 09:00:00 -0000</pubDate>
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    <description>
      <![CDATA[<p>We’ve entered a new era. The creation and collection of information play an ever-increasing — yet often hidden — role in our lives. Algorithms filter all sorts of experiences, from the mundane to the monumental. The fuel that powers and curates these experiences is…data. Data are the new oil; whoever controls data has power. Is this making things better? Worse? Raw Data is a show about <strong>how information becomes power</strong>. What are the implications for all of us, now that mountains of data are more accessible and malleable than ever?</p>

<p>Episodes post on Thursdays. From Stanford and PRX.</p>

<p>Hosted by Andrea Mustain and Mike Osborne.</p>

<p>We love hearing from you! Please email us at <a href="mailto:hello@rawdatapodcast.com" rel="nofollow" target="_blank">hello@rawdatapodcast.com</a></p>]]>
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      <title>Raw Data</title>
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      <description>A podcast about how information becomes power</description>
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    <itunes:author>Stanford and PRX</itunes:author>
    <itunes:type>episodic</itunes:type>
    <itunes:category text="Technology"/>
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      <itunes:name>Stanford, PRX, and The Sloan Foundation</itunes:name>
    </itunes:owner>
    <itunes:subtitle>A podcast about how information becomes power</itunes:subtitle>
    <itunes:summary>
      <![CDATA[We’ve entered a new era. The creation and collection of information play an ever-increasing — yet often hidden — role in our lives. Algorithms filter all sorts of experiences, from the mundane to the monumental. The fuel that powers and curates these experiences is…data. Data are the new oil; whoever controls data has power. Is this making things better? Worse? Raw Data is a show about how information becomes power. What are the implications for all of us, now that mountains of data are more accessible and malleable than ever?

Episodes post on Thursdays. From Stanford and PRX.

Hosted by Andrea Mustain and Mike Osborne.

We love hearing from you! Please email us at <a href="mailto:hello@rawdatapodcast.com" target="_blank">hello@rawdatapodcast.com</a>]]>
    </itunes:summary>
    <media:copyright>All rights reserved</media:copyright>
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    <media:category scheme="http://www.itunes.com/dtds/podcast-1.0.dtd">Technology</media:category>
    <item>
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      <title>Technically Sweet</title>
      <pubDate>Thu, 21 Nov 2019 09:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_d87ff6c6-c480-4b60-b970-9f45620b0fd1&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>Chocolate is beloved by...well, most humans, it would seem. But this sweet treat that, for many of us, brings instant happiness, has a nasty secret: most of the world’s cocoa comes from a place where child labor, and sometimes even enslavement, is rampant. For decades, the giant companies that dominate the chocolate industry have said that it was impossible to know if their cocoa was tainted by labor abuses — the supply chain is too long, how can you possibly track cocoa beans back to a small farm in West Africa? Enter technology. But, it turns out, technology may not truly offer the answer to the intractable problem of child labor. The solution may, in fact, be lurking in plain sight. We talk to Nathan Hodge, of Raaka Chocolate; Charity Ryerson, of Corporate Accountability Lab; and Frans Pannekoek, of Tony’s Chocolonely. </p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </description>
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      <itunes:subtitle>Why does child labor persist in the chocolate industry? Does technology offer the solution? </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>24</itunes:episode>
      <itunes:duration>27:20</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Blockchain]]>
      </category>
      <category>
        <![CDATA[Charity ryerson]]>
      </category>
      <category>
        <![CDATA[Cocoa]]>
      </category>
      <category>
        <![CDATA[Ghana]]>
      </category>
      <category>
        <![CDATA[Nate Hodge]]>
      </category>
      <category>
        <![CDATA[Raaka Chocolate]]>
      </category>
      <category>
        <![CDATA[The cloud]]>
      </category>
      <category>
        <![CDATA[bean tracker]]>
      </category>
      <category>
        <![CDATA[child labor]]>
      </category>
      <category>
        <![CDATA[chocolate]]>
      </category>
      <category>
        <![CDATA[corporate accountability lab]]>
      </category>
      <category>
        <![CDATA[cote d'Ivoire]]>
      </category>
      <category>
        <![CDATA[frans pannekoek]]>
      </category>
      <category>
        <![CDATA[hersheys]]>
      </category>
      <category>
        <![CDATA[ivory coast]]>
      </category>
      <category>
        <![CDATA[mars]]>
      </category>
      <category>
        <![CDATA[nestle]]>
      </category>
      <category>
        <![CDATA[slave labor]]>
      </category>
      <category>
        <![CDATA[slavery]]>
      </category>
      <category>
        <![CDATA[sustainability]]>
      </category>
      <category>
        <![CDATA[tony's chocolonely]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Chocolate is beloved by...well, most humans, it would seem. But this sweet treat that, for many of us, brings instant happiness, has a nasty secret: most of the world’s cocoa comes from a place where child labor, and sometimes even enslavement, is rampant. For decades, the giant companies that dominate the chocolate industry have said that it was impossible to know if their cocoa was tainted by labor abuses — the supply chain is too long, how can you possibly track cocoa beans back to a small farm in West Africa? Enter technology. But, it turns out, technology may not truly offer the answer to the intractable problem of child labor. The solution may, in fact, be lurking in plain sight. We talk to Nathan Hodge, of Raaka Chocolate; Charity Ryerson, of Corporate Accountability Lab; and Frans Pannekoek, of Tony’s Chocolonely. 



Find out more at rawdatapodcast.com]]>
      </itunes:summary>
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      <content:encoded>
        <![CDATA[<p>Chocolate is beloved by...well, most humans, it would seem. But this sweet treat that, for many of us, brings instant happiness, has a nasty secret: most of the world’s cocoa comes from a place where child labor, and sometimes even enslavement, is rampant. For decades, the giant companies that dominate the chocolate industry have said that it was impossible to know if their cocoa was tainted by labor abuses — the supply chain is too long, how can you possibly track cocoa beans back to a small farm in West Africa? Enter technology. But, it turns out, technology may not truly offer the answer to the intractable problem of child labor. The solution may, in fact, be lurking in plain sight. We talk to Nathan Hodge, of Raaka Chocolate; Charity Ryerson, of Corporate Accountability Lab; and Frans Pannekoek, of Tony’s Chocolonely. </p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_65a2aa36-12ae-4ae8-be0d-0de11106e107</guid>
      <title>Training Computers to See</title>
      <pubDate>Thu, 14 Nov 2019 09:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_65a2aa36-12ae-4ae8-be0d-0de11106e107&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>Over the past few decades, computer vision has held the promise of making the world a better place, from aiding the blind to helping doctors better analyze medical imagery. But as it turns out, teaching computers to see has some unintended consequences. Joseph Redmon, a researcher at the University of Washington and computer vision researcher, tells the story of the history of this quickly evolving technology, as well as his own experience seeing a something he built be put to uses he’d never envisioned — applications that might, quite literally, be used to kill. </p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/65a2aa36-12ae-4ae8-be0d-0de11106e107/RD_Computer_Eyes_FINAL_pt1.mp3" type="audio/mpeg" length="43054816"/>
      <itunes:subtitle>How do you teach a computer to distinguish between a cow and a couch? Lots of data. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>23</itunes:episode>
      <itunes:duration>17:56</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Authoritarianism]]>
      </category>
      <category>
        <![CDATA[Computer vision]]>
      </category>
      <category>
        <![CDATA[Dystopia]]>
      </category>
      <category>
        <![CDATA[Facebook]]>
      </category>
      <category>
        <![CDATA[Fei-Fei Li]]>
      </category>
      <category>
        <![CDATA[GPUs]]>
      </category>
      <category>
        <![CDATA[Joseph Redmon]]>
      </category>
      <category>
        <![CDATA[Object Detection]]>
      </category>
      <category>
        <![CDATA[University of Washington]]>
      </category>
      <category>
        <![CDATA[YOLO]]>
      </category>
      <category>
        <![CDATA[You only look once]]>
      </category>
      <category>
        <![CDATA[algorithms]]>
      </category>
      <category>
        <![CDATA[artificial intelligence]]>
      </category>
      <category>
        <![CDATA[image net]]>
      </category>
      <category>
        <![CDATA[online marketing]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Over the past few decades, computer vision has held the promise of making the world a better place, from aiding the blind to helping doctors better analyze medical imagery. But as it turns out, teaching computers to see has some unintended consequences. Joseph Redmon, a researcher at the University of Washington and computer vision researcher, tells the story of the history of this quickly evolving technology, as well as his own experience seeing a something he built be put to uses he’d never envisioned — applications that might, quite literally, be used to kill. 



Find out more at rawdatapodcast.com]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/65a2aa36-12ae-4ae8-be0d-0de11106e107/images/959e06da-a693-45de-aac1-2feb9f5dba5e/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="43054816" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/65a2aa36-12ae-4ae8-be0d-0de11106e107/RD_Computer_Eyes_FINAL_pt1.mp3"/>
      <content:encoded>
        <![CDATA[<p>Over the past few decades, computer vision has held the promise of making the world a better place, from aiding the blind to helping doctors better analyze medical imagery. But as it turns out, teaching computers to see has some unintended consequences. Joseph Redmon, a researcher at the University of Washington and computer vision researcher, tells the story of the history of this quickly evolving technology, as well as his own experience seeing a something he built be put to uses he’d never envisioned — applications that might, quite literally, be used to kill. </p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_2192fa2f-f084-4a2b-9ee3-1d56f49b0be9</guid>
      <title>The Worst Cyber Attack (For now)</title>
      <pubDate>Thu, 07 Nov 2019 09:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_2192fa2f-f084-4a2b-9ee3-1d56f49b0be9&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>In June 2017, something weird — and very alarming — started happening at a company in Copenhagen. It seemed that hackers had shut down the company’s network, and were demanding a ransom. But it turned out this was no ordinary cyberattack. What unfolded was the most devastating cyberattack in history — one that brought operations to a screeching halt in companies across the world, and cost billions of dollars. Andy Greenberg, writer at Wired Magazine and author of the book Sandworm, tells the behind-the-scenes story of the attack, dubbed NotPetya — which, in its aftermath, was revealed to be not a sophisticated tool to steal money, but instead, a weapon designed to destroy a nation.  </p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/2192fa2f-f084-4a2b-9ee3-1d56f49b0be9/RD_Greenberg_FINAL_pt1.mp3" type="audio/mpeg" length="47623360"/>
      <itunes:subtitle>In June 2017, a mysterious computer worm infected thousands of computers across the world. Who was behind the attack? </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>22</itunes:episode>
      <itunes:duration>19:50</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Andy Greenberg]]>
      </category>
      <category>
        <![CDATA[Encryption]]>
      </category>
      <category>
        <![CDATA[GRU]]>
      </category>
      <category>
        <![CDATA[Maersk]]>
      </category>
      <category>
        <![CDATA[Maersk Shipping hack]]>
      </category>
      <category>
        <![CDATA[NotPetya]]>
      </category>
      <category>
        <![CDATA[Sandworm]]>
      </category>
      <category>
        <![CDATA[Wired magazine]]>
      </category>
      <category>
        <![CDATA[bitcoin]]>
      </category>
      <category>
        <![CDATA[domain controller]]>
      </category>
      <category>
        <![CDATA[ransomware]]>
      </category>
      <category>
        <![CDATA[russian cyber attacks]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[In June 2017, something weird — and very alarming — started happening at a company in Copenhagen. It seemed that hackers had shut down the company’s network, and were demanding a ransom. But it turned out this was no ordinary cyberattack. What unfolded was the most devastating cyberattack in history — one that brought operations to a screeching halt in companies across the world, and cost billions of dollars. Andy Greenberg, writer at Wired Magazine and author of the book Sandworm, tells the behind-the-scenes story of the attack, dubbed NotPetya — which, in its aftermath, was revealed to be not a sophisticated tool to steal money, but instead, a weapon designed to destroy a nation.  



Find out more at rawdatapodcast.com]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/2192fa2f-f084-4a2b-9ee3-1d56f49b0be9/images/981dc057-1d97-43f0-8daa-bf9486204ffe/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="47623360" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/2192fa2f-f084-4a2b-9ee3-1d56f49b0be9/RD_Greenberg_FINAL_pt1.mp3"/>
      <content:encoded>
        <![CDATA[<p>In June 2017, something weird — and very alarming — started happening at a company in Copenhagen. It seemed that hackers had shut down the company’s network, and were demanding a ransom. But it turned out this was no ordinary cyberattack. What unfolded was the most devastating cyberattack in history — one that brought operations to a screeching halt in companies across the world, and cost billions of dollars. Andy Greenberg, writer at Wired Magazine and author of the book Sandworm, tells the behind-the-scenes story of the attack, dubbed NotPetya — which, in its aftermath, was revealed to be not a sophisticated tool to steal money, but instead, a weapon designed to destroy a nation.  </p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_40b98868-2d59-48a1-9d45-f3e74d237cc3</guid>
      <title>How We Found Ourselves</title>
      <pubDate>Thu, 31 Oct 2019 19:30:45 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_40b98868-2d59-48a1-9d45-f3e74d237cc3&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>Get out your smartphone, and you can almost instantaneously know where you are — and find out how to get where you want to go. Which, when you think back on the history of human navigation is...pretty astounding. How did we come to hold such immense power in our hands? It’s all thanks to GPS, a technology born from the Cold War and the Space Race, and delivered into our personal pocket computers thanks to a series of dramatic, sometimes tragic events, and at least one war. Our guide is Paul Ceruzzi, a former curator at the Smithsonian and author of the book <em>GPS</em>. And Jordan Frith, a professor at Clemson University, talks about it means now that, for better or worse, we never have to get lost ever again.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/40b98868-2d59-48a1-9d45-f3e74d237cc3/RD_GPS_FINAL_pt1.mp3" type="audio/mpeg" length="59505124"/>
      <itunes:subtitle>It took decades of work, billions of dollars, and a fleet of spacecraft. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>24:47</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Get out your smartphone, and you can almost instantaneously know where you are — and find out how to get where you want to go. Which, when you think back on the history of human navigation is...pretty astounding. How did we come to hold such immense power in our hands? It’s all thanks to GPS, a technology born from the Cold War and the Space Race, and delivered into our personal pocket computers thanks to a series of dramatic, sometimes tragic events, and at least one war. Our guide is Paul Ceruzzi, a former curator at the Smithsonian and author of the book GPS. And Jordan Frith, a professor at Clemson University, talks about it means now that, for better or worse, we never have to get lost ever again.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/images/bb0e3d82-8c62-404a-9438-c337377cb976/RawData_ForWeb_RGB.png"/>
      <media:content fileSize="59505124" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/40b98868-2d59-48a1-9d45-f3e74d237cc3/RD_GPS_FINAL_pt1.mp3"/>
      <content:encoded>
        <![CDATA[<p>Get out your smartphone, and you can almost instantaneously know where you are — and find out how to get where you want to go. Which, when you think back on the history of human navigation is...pretty astounding. How did we come to hold such immense power in our hands? It’s all thanks to GPS, a technology born from the Cold War and the Space Race, and delivered into our personal pocket computers thanks to a series of dramatic, sometimes tragic events, and at least one war. Our guide is Paul Ceruzzi, a former curator at the Smithsonian and author of the book <em>GPS</em>. And Jordan Frith, a professor at Clemson University, talks about it means now that, for better or worse, we never have to get lost ever again.</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_b287c8c4-fb78-4a7d-a9f2-0ab9cc5bdae7</guid>
      <title>About Us, But Not For Us (Repost)</title>
      <pubDate>Tue, 29 Oct 2019 08:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_b287c8c4-fb78-4a7d-a9f2-0ab9cc5bdae7&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>Originally broadcast in April 2019. As we approach the end of 2019, the Financial Times recognizes Shoshana Zuboff's "The Age of Surveillance Capitalism" as one of the best business books of the year.</p>

<p>Shoshana Zuboff doesn’t mince words when it comes to the data economy. According to Zuboff, author of the recent book *The Age of Surveillance Capitalism, *our very souls are at stake. But the seeds of surveillance capitalism were planted rather innocently, back in the heady days of the dotcom bubble. As Zuboff tells it, it all began with Google. When the young company entered crisis mode, they needed to find new ways to make money. And a whole new economic logic was born — one that has now spread across every sector of the economy, and has invaded every facet of our online lives. Zuboff warns that surveillance capitalism threatens much more than just our privacy.</p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/b287c8c4-fb78-4a7d-a9f2-0ab9cc5bdae7/RD_Zuboff_Repost_PT1.mp3" type="audio/mpeg" length="70489048"/>
      <itunes:subtitle>Tech companies are making billions of dollars off of our data. How did we get here? </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>21</itunes:episode>
      <itunes:duration>29:22</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Google]]>
      </category>
      <category>
        <![CDATA[Sheryl Sandberg]]>
      </category>
      <category>
        <![CDATA[advertising]]>
      </category>
      <category>
        <![CDATA[capitalism]]>
      </category>
      <category>
        <![CDATA[computers]]>
      </category>
      <category>
        <![CDATA[computing]]>
      </category>
      <category>
        <![CDATA[dot com boom]]>
      </category>
      <category>
        <![CDATA[dot com bubble]]>
      </category>
      <category>
        <![CDATA[larry page]]>
      </category>
      <category>
        <![CDATA[personal data]]>
      </category>
      <category>
        <![CDATA[privacy]]>
      </category>
      <category>
        <![CDATA[search engine]]>
      </category>
      <category>
        <![CDATA[sergey brin]]>
      </category>
      <category>
        <![CDATA[shoshana zuboff]]>
      </category>
      <category>
        <![CDATA[surveillance]]>
      </category>
      <category>
        <![CDATA[surveillance capitalism]]>
      </category>
      <category>
        <![CDATA[targeted advertising]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Originally broadcast in April 2019. As we approach the end of 2019, the Financial Times recognizes Shoshana Zuboff's "The Age of Surveillance Capitalism" as one of the best business books of the year.

Shoshana Zuboff doesn’t mince words when it comes to the data economy. According to Zuboff, author of the recent book *The Age of Surveillance Capitalism, *our very souls are at stake. But the seeds of surveillance capitalism were planted rather innocently, back in the heady days of the dotcom bubble. As Zuboff tells it, it all began with Google. When the young company entered crisis mode, they needed to find new ways to make money. And a whole new economic logic was born — one that has now spread across every sector of the economy, and has invaded every facet of our online lives. Zuboff warns that surveillance capitalism threatens much more than just our privacy.



Find out more at rawdatapodcast.com]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/b287c8c4-fb78-4a7d-a9f2-0ab9cc5bdae7/images/51638292-6024-4164-924c-58298181c47d/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="70489048" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/b287c8c4-fb78-4a7d-a9f2-0ab9cc5bdae7/RD_Zuboff_Repost_PT1.mp3"/>
      <content:encoded>
        <![CDATA[<p>Originally broadcast in April 2019. As we approach the end of 2019, the Financial Times recognizes Shoshana Zuboff's "The Age of Surveillance Capitalism" as one of the best business books of the year.</p>

<p>Shoshana Zuboff doesn’t mince words when it comes to the data economy. According to Zuboff, author of the recent book *The Age of Surveillance Capitalism, *our very souls are at stake. But the seeds of surveillance capitalism were planted rather innocently, back in the heady days of the dotcom bubble. As Zuboff tells it, it all began with Google. When the young company entered crisis mode, they needed to find new ways to make money. And a whole new economic logic was born — one that has now spread across every sector of the economy, and has invaded every facet of our online lives. Zuboff warns that surveillance capitalism threatens much more than just our privacy.</p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_fb3005c8-125e-45c0-9a13-853149658668</guid>
      <title>Prediction (BYTE)</title>
      <pubDate>Thu, 24 Oct 2019 08:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_fb3005c8-125e-45c0-9a13-853149658668&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>When humans predict something, it’s basically an educated guess, based on our experiences. When a machine makes a prediction, it uses data and math. And we are increasingly relying on machine prediction to help make decisions in everything from banking to insurance to education. But Meredith Broussard, a professor from New York University, argues that this has all gone too far, especially when you look at what data are being used in machine predictions. And that the “futures” that machines predict should be taken with large grains of salt.</p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/fb3005c8-125e-45c0-9a13-853149658668/RD_Prediction_FINAL.mp3" type="audio/mpeg" length="25422572"/>
      <itunes:subtitle>Machines are being used to predict the future. What could go wrong?</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>20</itunes:episode>
      <itunes:duration>10:35</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Artificial Unintelligence]]>
      </category>
      <category>
        <![CDATA[Google Predictions]]>
      </category>
      <category>
        <![CDATA[Machine Learning]]>
      </category>
      <category>
        <![CDATA[Machine Prediction]]>
      </category>
      <category>
        <![CDATA[Meredith Brossard]]>
      </category>
      <category>
        <![CDATA[NYU]]>
      </category>
      <category>
        <![CDATA[New York University]]>
      </category>
      <category>
        <![CDATA[Predictions]]>
      </category>
      <category>
        <![CDATA[Predictive Analysis]]>
      </category>
      <category>
        <![CDATA[autocomplete]]>
      </category>
      <category>
        <![CDATA[predictive models]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[When humans predict something, it’s basically an educated guess, based on our experiences. When a machine makes a prediction, it uses data and math. And we are increasingly relying on machine prediction to help make decisions in everything from banking to insurance to education. But Meredith Broussard, a professor from New York University, argues that this has all gone too far, especially when you look at what data are being used in machine predictions. And that the “futures” that machines predict should be taken with large grains of salt.



Find out more at <a href="https://www.rawdatapodcast.com/" target="_blank">rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/fb3005c8-125e-45c0-9a13-853149658668/images/ee2ae588-a4fc-4cfe-b0fa-48d66a67d030/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="25422572" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/fb3005c8-125e-45c0-9a13-853149658668/RD_Prediction_FINAL.mp3"/>
      <content:encoded>
        <![CDATA[<p>When humans predict something, it’s basically an educated guess, based on our experiences. When a machine makes a prediction, it uses data and math. And we are increasingly relying on machine prediction to help make decisions in everything from banking to insurance to education. But Meredith Broussard, a professor from New York University, argues that this has all gone too far, especially when you look at what data are being used in machine predictions. And that the “futures” that machines predict should be taken with large grains of salt.</p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_b09eb37d-6e60-49c7-b8d8-7175fe56499b</guid>
      <title>The Digital Divide</title>
      <pubDate>Thu, 17 Oct 2019 08:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_b09eb37d-6e60-49c7-b8d8-7175fe56499b&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>Imagine a life without the Internet. No email, no Instagram, no texting, no Google maps, no Netflix...what would you do? A “normal” life would be next to impossible. But huge numbers of Americans face this very problem. Access to high-speed Internet is still an enormous challenge for a lot of people. We talk with Nicol Turner Lee, a fellow at the Brookings Institution, about what it means to be “digitally invisible,” and the toll lack of access takes. It’s a complicated problem, and one with no easy answers. And, for some context, we take a trip through time to see how America tackled a similarly dire issue at the height of the Great Depression.</p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/b09eb37d-6e60-49c7-b8d8-7175fe56499b/RD_Dig_Div_pt1.mp3" type="audio/mpeg" length="66670096"/>
      <itunes:subtitle>Getting online is a huge problem for more people than you might think. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>19</itunes:episode>
      <itunes:duration>27:46</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Brookings Instituion]]>
      </category>
      <category>
        <![CDATA[Lifelife program]]>
      </category>
      <category>
        <![CDATA[Nicol Turner Lee]]>
      </category>
      <category>
        <![CDATA[TVA]]>
      </category>
      <category>
        <![CDATA[Tennessee Valley AUthority]]>
      </category>
      <category>
        <![CDATA[broadband]]>
      </category>
      <category>
        <![CDATA[digital divide]]>
      </category>
      <category>
        <![CDATA[digital exclusion]]>
      </category>
      <category>
        <![CDATA[general purpose technology]]>
      </category>
      <category>
        <![CDATA[high-speed internet]]>
      </category>
      <category>
        <![CDATA[internet access]]>
      </category>
      <category>
        <![CDATA[net neutrality]]>
      </category>
      <category>
        <![CDATA[rural internet access]]>
      </category>
      <category>
        <![CDATA[sponsored data]]>
      </category>
      <category>
        <![CDATA[zero rating]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Imagine a life without the Internet. No email, no Instagram, no texting, no Google maps, no Netflix...what would you do? A “normal” life would be next to impossible. But huge numbers of Americans face this very problem. Access to high-speed Internet is still an enormous challenge for a lot of people. We talk with Nicol Turner Lee, a fellow at the Brookings Institution, about what it means to be “digitally invisible,” and the toll lack of access takes. It’s a complicated problem, and one with no easy answers. And, for some context, we take a trip through time to see how America tackled a similarly dire issue at the height of the Great Depression.



Find out more at rawdatapodcast.com]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/b09eb37d-6e60-49c7-b8d8-7175fe56499b/images/df8310f3-3c07-4887-a353-86da6df44fd3/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="66670096" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/b09eb37d-6e60-49c7-b8d8-7175fe56499b/RD_Dig_Div_pt1.mp3"/>
      <content:encoded>
        <![CDATA[<p>Imagine a life without the Internet. No email, no Instagram, no texting, no Google maps, no Netflix...what would you do? A “normal” life would be next to impossible. But huge numbers of Americans face this very problem. Access to high-speed Internet is still an enormous challenge for a lot of people. We talk with Nicol Turner Lee, a fellow at the Brookings Institution, about what it means to be “digitally invisible,” and the toll lack of access takes. It’s a complicated problem, and one with no easy answers. And, for some context, we take a trip through time to see how America tackled a similarly dire issue at the height of the Great Depression.</p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_e919aa26-563a-4ff5-8f53-43e9e7381a45</guid>
      <title>Hacking (BYTE)</title>
      <pubDate>Thu, 10 Oct 2019 08:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_e919aa26-563a-4ff5-8f53-43e9e7381a45&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>In the world of computer science, being a hacker means you know what’s up, and you have street cred. Outside of technology circles, though, hacking is more associated with things like data breaches, ransomware, and malware. So where does the term come from, and why does it have different meanings to different people? In our conversation with Meredith Broussard, a professor at New York University, we explore the roots of hacking, and what it says about society’s relationship with technology today.</p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/e919aa26-563a-4ff5-8f53-43e9e7381a45/RD_Hacking_FINAL.mp3" type="audio/mpeg" length="31175012"/>
      <itunes:subtitle>From data breaches to ransomware, we hear about hacking everywhere these days. But where does the term “hacking” come from, and what does it even mean?</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>18</itunes:episode>
      <itunes:duration>12:59</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Artificial Unintelligence]]>
      </category>
      <category>
        <![CDATA[Hackers]]>
      </category>
      <category>
        <![CDATA[Hacking]]>
      </category>
      <category>
        <![CDATA[MIT]]>
      </category>
      <category>
        <![CDATA[Mainframe computers]]>
      </category>
      <category>
        <![CDATA[Meredith Broussard]]>
      </category>
      <category>
        <![CDATA[NYU]]>
      </category>
      <category>
        <![CDATA[New York University]]>
      </category>
      <category>
        <![CDATA[Tech Model Railroad Club]]>
      </category>
      <category>
        <![CDATA[artificial intelligence]]>
      </category>
      <category>
        <![CDATA[election hacking]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[In the world of computer science, being a hacker means you know what’s up, and you have street cred. Outside of technology circles, though, hacking is more associated with things like data breaches, ransomware, and malware. So where does the term come from, and why does it have different meanings to different people? In our conversation with Meredith Broussard, a professor at New York University, we explore the roots of hacking, and what it says about society’s relationship with technology today.



Find out more at rawdatapodcast.com]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/e919aa26-563a-4ff5-8f53-43e9e7381a45/images/527c7b3d-121d-4995-86ba-9e74a84335df/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="31175012" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/e919aa26-563a-4ff5-8f53-43e9e7381a45/RD_Hacking_FINAL.mp3"/>
      <content:encoded>
        <![CDATA[<p>In the world of computer science, being a hacker means you know what’s up, and you have street cred. Outside of technology circles, though, hacking is more associated with things like data breaches, ransomware, and malware. So where does the term come from, and why does it have different meanings to different people? In our conversation with Meredith Broussard, a professor at New York University, we explore the roots of hacking, and what it says about society’s relationship with technology today.</p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_37538a7c-ffc3-4854-9a3d-c09c9b2b379a</guid>
      <title>Machine Learning (BYTE)</title>
      <pubDate>Thu, 03 Oct 2019 08:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_37538a7c-ffc3-4854-9a3d-c09c9b2b379a&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>It’s 2019, and machine learning is everywhere. It might not be Skynet, but it can still sound a little scary. If the robot apocalypse isn’t around the corner, what is? We talk to Kantwon Rogers, a lecturer at Georgia Tech and frequent guest of the show, to demystify this increasingly omnipresent technology. We learn about about how the heck machine learning actually <em>works</em>, how it’s being used to improve our lives, and what should be keeping us awake at night when it comes to this powerful technology. (Hint: It’s not because of killer robots. Not yet...)</p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/37538a7c-ffc3-4854-9a3d-c09c9b2b379a/RD_Machine_Learning_FINAL.mp3" type="audio/mpeg" length="44163416"/>
      <itunes:subtitle>If the robot apocalypse isn’t around the corner, what is?</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>17</itunes:episode>
      <itunes:duration>18:24</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[AI]]>
      </category>
      <category>
        <![CDATA[Facial recognition]]>
      </category>
      <category>
        <![CDATA[Machine Learning]]>
      </category>
      <category>
        <![CDATA[Skynet]]>
      </category>
      <category>
        <![CDATA[artificial intelligence]]>
      </category>
      <category>
        <![CDATA[data categories]]>
      </category>
      <category>
        <![CDATA[georgia institute of technology]]>
      </category>
      <category>
        <![CDATA[georgia tech]]>
      </category>
      <category>
        <![CDATA[individual algorithm]]>
      </category>
      <category>
        <![CDATA[kantwon rogers]]>
      </category>
      <category>
        <![CDATA[reinforcement learning]]>
      </category>
      <category>
        <![CDATA[supervised machine learning]]>
      </category>
      <category>
        <![CDATA[terminator]]>
      </category>
      <category>
        <![CDATA[unsupervised machine learning]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[It’s 2019, and machine learning is everywhere. It might not be Skynet, but it can still sound a little scary. If the robot apocalypse isn’t around the corner, what is? We talk to Kantwon Rogers, a lecturer at Georgia Tech and frequent guest of the show, to demystify this increasingly omnipresent technology. We learn about about how the heck machine learning actually works, how it’s being used to improve our lives, and what should be keeping us awake at night when it comes to this powerful technology. (Hint: It’s not because of killer robots. Not yet...)



Find out more at <a href="https://www.rawdatapodcast.com/" target="_blank">rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/37538a7c-ffc3-4854-9a3d-c09c9b2b379a/images/05479ab3-b747-4763-9e29-b2bab69311bd/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="44163416" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/37538a7c-ffc3-4854-9a3d-c09c9b2b379a/RD_Machine_Learning_FINAL.mp3"/>
      <content:encoded>
        <![CDATA[<p>It’s 2019, and machine learning is everywhere. It might not be Skynet, but it can still sound a little scary. If the robot apocalypse isn’t around the corner, what is? We talk to Kantwon Rogers, a lecturer at Georgia Tech and frequent guest of the show, to demystify this increasingly omnipresent technology. We learn about about how the heck machine learning actually <em>works</em>, how it’s being used to improve our lives, and what should be keeping us awake at night when it comes to this powerful technology. (Hint: It’s not because of killer robots. Not yet...)</p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_44302b9c-83aa-4ad8-a601-374de4bdf515</guid>
      <title>Memory (BYTE)</title>
      <pubDate>Thu, 26 Sep 2019 08:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_44302b9c-83aa-4ad8-a601-374de4bdf515&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>What exactly <em>is</em> memory? And why is it so important to how our devices work today? Friend of the show and Georgia Tech computing lecturer Kantwon Rogers breaks it down into bits and bytes — and hints at what kinds of clouds the future may bring.</p>

<p>BONUS: Andrea offers up her global solution to solve the issue of tailgating.</p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/44302b9c-83aa-4ad8-a601-374de4bdf515/RD_Memory.mp3" type="audio/mpeg" length="29744636"/>
      <itunes:title>Memory (BYTE)</itunes:title>
      <itunes:subtitle>What is RAM, and why is memory central for the computing of tomorrow?</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>16</itunes:episode>
      <itunes:duration>12:23</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Computer Memory]]>
      </category>
      <category>
        <![CDATA[Computer Storage]]>
      </category>
      <category>
        <![CDATA[Computing]]>
      </category>
      <category>
        <![CDATA[Data]]>
      </category>
      <category>
        <![CDATA[Georgia Institute of Technology]]>
      </category>
      <category>
        <![CDATA[Georgia Tech]]>
      </category>
      <category>
        <![CDATA[Kantwon Rogers]]>
      </category>
      <category>
        <![CDATA[Memory]]>
      </category>
      <category>
        <![CDATA[RAM]]>
      </category>
      <category>
        <![CDATA[Random access Memory]]>
      </category>
      <category>
        <![CDATA[The Cloud]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[What exactly is memory? And why is it so important to how our devices work today? Friend of the show and Georgia Tech computing lecturer Kantwon Rogers breaks it down into bits and bytes — and hints at what kinds of clouds the future may bring.

BONUS: Andrea offers up her global solution to solve the issue of tailgating.



Find out more at <a href="https://www.rawdatapodcast.com/" target="_blank">rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/44302b9c-83aa-4ad8-a601-374de4bdf515/images/219da493-e931-4500-95e2-adc7d88e5718/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="29744636" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/44302b9c-83aa-4ad8-a601-374de4bdf515/RD_Memory.mp3"/>
      <content:encoded>
        <![CDATA[<p>What exactly <em>is</em> memory? And why is it so important to how our devices work today? Friend of the show and Georgia Tech computing lecturer Kantwon Rogers breaks it down into bits and bytes — and hints at what kinds of clouds the future may bring.</p>

<p>BONUS: Andrea offers up her global solution to solve the issue of tailgating.</p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_e5aafa07-18be-481b-85e0-bef7f9a371fa</guid>
      <title>The Answer Machine </title>
      <pubDate>Thu, 19 Sep 2019 08:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_e5aafa07-18be-481b-85e0-bef7f9a371fa&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>Google has become our yellow pages, our atlas, our library, our medical consultant, our shopping guide. Which means it is, basically, a giant, virtual confession booth. It knows our most intimate secrets and our most mundane desires. Which has some really amazing upsides; we get a smorgasbord of answers in milliseconds. But behind the scenes of every search, there’s a bidding war going on. Whoever wins that war has the power to shape not just how we spend our money, but also, perhaps, our political views, and maybe even our will to live. We talk to Patrick Berlinquette, a search engine marketer and certified Google partner, about how our searches are, literally, for sale, and get some perspective on the world of digital advertising from NYU’s Vasant Dhar.</p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/e5aafa07-18be-481b-85e0-bef7f9a371fa/RD_Search_Engine_FINAL_PT1.mp3" type="audio/mpeg" length="65128108"/>
      <itunes:subtitle>Who knows you best? It’s probably not a person.</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>15</itunes:episode>
      <itunes:duration>27:08</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Google]]>
      </category>
      <category>
        <![CDATA[Google ads]]>
      </category>
      <category>
        <![CDATA[advertising]]>
      </category>
      <category>
        <![CDATA[google redirection]]>
      </category>
      <category>
        <![CDATA[online advertising]]>
      </category>
      <category>
        <![CDATA[patrick berlinquette]]>
      </category>
      <category>
        <![CDATA[search engine]]>
      </category>
      <category>
        <![CDATA[search engine marking]]>
      </category>
      <category>
        <![CDATA[the redirect method]]>
      </category>
      <category>
        <![CDATA[vasant dhar]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Google has become our yellow pages, our atlas, our library, our medical consultant, our shopping guide. Which means it is, basically, a giant, virtual confession booth. It knows our most intimate secrets and our most mundane desires. Which has some really amazing upsides; we get a smorgasbord of answers in milliseconds. But behind the scenes of every search, there’s a bidding war going on. Whoever wins that war has the power to shape not just how we spend our money, but also, perhaps, our political views, and maybe even our will to live. We talk to Patrick Berlinquette, a search engine marketer and certified Google partner, about how our searches are, literally, for sale, and get some perspective on the world of digital advertising from NYU’s Vasant Dhar.



Find out more at rawdatapodcast.com]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/e5aafa07-18be-481b-85e0-bef7f9a371fa/images/7d89e8b6-f48d-4237-9f5e-71a8eaec0f9e/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="65128108" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/e5aafa07-18be-481b-85e0-bef7f9a371fa/RD_Search_Engine_FINAL_PT1.mp3"/>
      <content:encoded>
        <![CDATA[<p>Google has become our yellow pages, our atlas, our library, our medical consultant, our shopping guide. Which means it is, basically, a giant, virtual confession booth. It knows our most intimate secrets and our most mundane desires. Which has some really amazing upsides; we get a smorgasbord of answers in milliseconds. But behind the scenes of every search, there’s a bidding war going on. Whoever wins that war has the power to shape not just how we spend our money, but also, perhaps, our political views, and maybe even our will to live. We talk to Patrick Berlinquette, a search engine marketer and certified Google partner, about how our searches are, literally, for sale, and get some perspective on the world of digital advertising from NYU’s Vasant Dhar.</p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_19ab19c9-2066-4a40-bf84-dad5e56544ca</guid>
      <title>Algorithms (BYTE)</title>
      <pubDate>Thu, 12 Sep 2019 08:00:00 -0000</pubDate>
      <link>http://rawdatapodcast.com/episodes/2019/9/12/episode-12-algorithms-byte</link>
      <description>
        <![CDATA[<p>Simply put, we (humans) can’t possibly process all of the data in the world, which is why computers are so useful — and why algorithms have become so necessary.</p>

<p>In this mini-episode, we go back to the basics. We talk to Georgia Tech computer programming lecturer Kantwon Rogers, a self-declared “eternal optimist,” who breaks down where algorithms came from and where they might be taking us. </p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/19ab19c9-2066-4a40-bf84-dad5e56544ca/Raw_Data_Algorithm.mp3" type="audio/mpeg" length="31575908"/>
      <itunes:subtitle>What is an algorithm? And why do we need them?</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>13</itunes:episode>
      <itunes:duration>13:09</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Algebra]]>
      </category>
      <category>
        <![CDATA[Algorithm]]>
      </category>
      <category>
        <![CDATA[Automation]]>
      </category>
      <category>
        <![CDATA[Computers]]>
      </category>
      <category>
        <![CDATA[Computing]]>
      </category>
      <category>
        <![CDATA[Data]]>
      </category>
      <category>
        <![CDATA[Georgia Tech]]>
      </category>
      <category>
        <![CDATA[Internet of Things]]>
      </category>
      <category>
        <![CDATA[Kantwon Rogers]]>
      </category>
      <category>
        <![CDATA[Muhammad ibn Musa al-Khwarizmi]]>
      </category>
      <category>
        <![CDATA[What is an algorithm]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Simply put, we (humans) can’t possibly process all of the data in the world, which is why computers are so useful — and why algorithms have become so necessary.

In this mini-episode, we go back to the basics. We talk to Georgia Tech computer programming lecturer Kantwon Rogers, a self-declared “eternal optimist,” who breaks down where algorithms came from and where they might be taking us. 



Find out more at rawdatapodcast.com]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/19ab19c9-2066-4a40-bf84-dad5e56544ca/images/50397060-f882-4f46-837a-bd864f6906ad/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="31575908" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/19ab19c9-2066-4a40-bf84-dad5e56544ca/Raw_Data_Algorithm.mp3"/>
      <content:encoded>
        <![CDATA[<p>Simply put, we (humans) can’t possibly process all of the data in the world, which is why computers are so useful — and why algorithms have become so necessary.</p>

<p>In this mini-episode, we go back to the basics. We talk to Georgia Tech computer programming lecturer Kantwon Rogers, a self-declared “eternal optimist,” who breaks down where algorithms came from and where they might be taking us. </p>

<hr>

<p>Find out more at rawdatapodcast.com</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_e82281c6-08f3-4866-a12c-f3cb791943cb</guid>
      <title>Your Data Are Showing</title>
      <pubDate>Thu, 29 Aug 2019 08:00:00 -0000</pubDate>
      <link>https://www.rawdatapodcast.com/episodes/2019/8/28/episode-11-in-plain-sight</link>
      <description>
        <![CDATA[<p>What could someone learn about you from your location? What about your Facebook likes? What about just...your face? You’re probably thinking — not much. But Stanford researcher Michal Kosinski says that even superficial data have the potential to expose some of the most intimate details of our lives. Kosinski’s research is provocative, and he has a track record of drawing attention to unexpected risks that come with digital technologies. He argues we live in “a post-privacy” world, and he says the sooner we admit to that reality, the sooner we can start working to improve it.</p>

<hr>

<p>Find out more at<a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank"> rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/e82281c6-08f3-4866-a12c-f3cb791943cb/RD_In_Plain_Sight_PT1.mp3" type="audio/mpeg" length="61752856"/>
      <itunes:subtitle>Is the loss of privacy in the digital age even greater than we realize?</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>13</itunes:episode>
      <itunes:duration>25:43</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Cambridge Analytica]]>
      </category>
      <category>
        <![CDATA[Data]]>
      </category>
      <category>
        <![CDATA[Digital Data]]>
      </category>
      <category>
        <![CDATA[Facebook]]>
      </category>
      <category>
        <![CDATA[Facial Recognition]]>
      </category>
      <category>
        <![CDATA[Machine Learning]]>
      </category>
      <category>
        <![CDATA[Michal Kosinski]]>
      </category>
      <category>
        <![CDATA[Neural Networks]]>
      </category>
      <category>
        <![CDATA[Post-Privacy]]>
      </category>
      <category>
        <![CDATA[Privacy]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[What could someone learn about you from your location? What about your Facebook likes? What about just...your face? You’re probably thinking — not much. But Stanford researcher Michal Kosinski says that even superficial data have the potential to expose some of the most intimate details of our lives. Kosinski’s research is provocative, and he has a track record of drawing attention to unexpected risks that come with digital technologies. He argues we live in “a post-privacy” world, and he says the sooner we admit to that reality, the sooner we can start working to improve it.



Find out more at<a href="https://www.rawdatapodcast.com/" target="_blank"> rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/e82281c6-08f3-4866-a12c-f3cb791943cb/images/6e17e82c-023c-4627-a618-04903c93e67d/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="61752856" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/e82281c6-08f3-4866-a12c-f3cb791943cb/RD_In_Plain_Sight_PT1.mp3"/>
      <content:encoded>
        <![CDATA[<p>What could someone learn about you from your location? What about your Facebook likes? What about just...your face? You’re probably thinking — not much. But Stanford researcher Michal Kosinski says that even superficial data have the potential to expose some of the most intimate details of our lives. Kosinski’s research is provocative, and he has a track record of drawing attention to unexpected risks that come with digital technologies. He argues we live in “a post-privacy” world, and he says the sooner we admit to that reality, the sooner we can start working to improve it.</p>

<hr>

<p>Find out more at<a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank"> rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_2df0ebb7-3ac1-4da5-b9f5-e2312b730c64</guid>
      <title>Power from the People (Post Trump, Pre-2020) </title>
      <pubDate>Thu, 18 Jul 2019 08:00:00 -0000</pubDate>
      <link>https://www.rawdatapodcast.com/episodes/2019/3/20/power-from-the-people</link>
      <description>
        <![CDATA[<p>Originally broadcast in March 2019, this episode has a new introduction, with an update on the Trump administration’s push to add a citizenship question to the 2020 census. </p>

<p>At the birth of the United States, the new nation faced a problem. How do you make a crazy new idea — power coming not from a king, but from the people — a reality? There was no handbook; the framers of the Constitution had to just kind of make it up. They landed on the idea of a census. You count the people in each state, and apportion power thusly. A great idea, and certainly a totally new one. But also one that, over the centuries, led to a multitude of unforeseen crises. It turned out that keeping representative democracy on the rails required some technical innovations — and led to the invention of a magnificent, and very significant, machine. </p>

<hr>

<p>Find out more at<a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank"> rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/2df0ebb7-3ac1-4da5-b9f5-e2312b730c64/RD_CensusUpdate_PT1.mp3" type="audio/mpeg" length="75619264"/>
      <itunes:subtitle>The fight over the 2020 census may feel like it came out of left field — but it turns out that battles over the census are as old as the republic itself. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>12</itunes:episode>
      <itunes:duration>31:30</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[2020 census]]>
      </category>
      <category>
        <![CDATA[Gerrymandering]]>
      </category>
      <category>
        <![CDATA[Hollerith]]>
      </category>
      <category>
        <![CDATA[IBM]]>
      </category>
      <category>
        <![CDATA[census history]]>
      </category>
      <category>
        <![CDATA[citizenship question]]>
      </category>
      <category>
        <![CDATA[computing]]>
      </category>
      <category>
        <![CDATA[constitution]]>
      </category>
      <category>
        <![CDATA[democray]]>
      </category>
      <category>
        <![CDATA[history of computing]]>
      </category>
      <category>
        <![CDATA[information technology]]>
      </category>
      <category>
        <![CDATA[population]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Originally broadcast in March 2019, this episode has a new introduction, with an update on the Trump administration’s push to add a citizenship question to the 2020 census. 

At the birth of the United States, the new nation faced a problem. How do you make a crazy new idea — power coming not from a king, but from the people — a reality? There was no handbook; the framers of the Constitution had to just kind of make it up. They landed on the idea of a census. You count the people in each state, and apportion power thusly. A great idea, and certainly a totally new one. But also one that, over the centuries, led to a multitude of unforeseen crises. It turned out that keeping representative democracy on the rails required some technical innovations — and led to the invention of a magnificent, and very significant, machine. 



Find out more at<a href="https://www.rawdatapodcast.com/" target="_blank"> rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/2df0ebb7-3ac1-4da5-b9f5-e2312b730c64/images/6411723d-cd76-4343-91f0-e056d3d81160/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="75619264" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/2df0ebb7-3ac1-4da5-b9f5-e2312b730c64/RD_CensusUpdate_PT1.mp3"/>
      <content:encoded>
        <![CDATA[<p>Originally broadcast in March 2019, this episode has a new introduction, with an update on the Trump administration’s push to add a citizenship question to the 2020 census. </p>

<p>At the birth of the United States, the new nation faced a problem. How do you make a crazy new idea — power coming not from a king, but from the people — a reality? There was no handbook; the framers of the Constitution had to just kind of make it up. They landed on the idea of a census. You count the people in each state, and apportion power thusly. A great idea, and certainly a totally new one. But also one that, over the centuries, led to a multitude of unforeseen crises. It turned out that keeping representative democracy on the rails required some technical innovations — and led to the invention of a magnificent, and very significant, machine. </p>

<hr>

<p>Find out more at<a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank"> rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_d70ee639-5e5b-4cf5-8613-58cf7fc44058</guid>
      <title>Power Lines, Post SCOTUS</title>
      <pubDate>Thu, 11 Jul 2019 08:00:00 -0000</pubDate>
      <link>https://www.rawdatapodcast.com/episodes/2019/5/14/episode-6-power-lines</link>
      <description>
        <![CDATA[<p>Originally broadcast in May 2019, this episode has a new introduction, with an update on the implications of the recent Supreme Court decision on partisan gerrymandering.</p>

<p>The United States is a pretty divided country; which may just feel like an inevitable product of our times. But it turns out there’s one partisan tool, in particular, that bears at least some of the blame. It’s something that is used behind closed doors, and that, thanks to the power of software and data, has turned into an ever more powerful partisan weapon. One that has now gone <em>so</em> far that some are saying it’s subverting democracy. And without any intervention, there’s no reason to think the situation will change for the better. Has our democracy crossed a line? And if it has, what is to be done?</p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/d70ee639-5e5b-4cf5-8613-58cf7fc44058/RD6_Power_Lines_UPDATE_pt1.mp3" type="audio/mpeg" length="59140672"/>
      <itunes:subtitle>Is the United States still a representative democracy? </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>11</itunes:episode>
      <itunes:duration>30:48</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[2020 census]]>
      </category>
      <category>
        <![CDATA[2020 election]]>
      </category>
      <category>
        <![CDATA[Census]]>
      </category>
      <category>
        <![CDATA[U.S. Elections]]>
      </category>
      <category>
        <![CDATA[U.S. Supreme Court]]>
      </category>
      <category>
        <![CDATA[data]]>
      </category>
      <category>
        <![CDATA[gerrymandering]]>
      </category>
      <category>
        <![CDATA[politics]]>
      </category>
      <category>
        <![CDATA[redistricting]]>
      </category>
      <category>
        <![CDATA[redistricting software]]>
      </category>
      <category>
        <![CDATA[redmap]]>
      </category>
      <category>
        <![CDATA[software]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Originally broadcast in May 2019, this episode has a new introduction, with an update on the implications of the recent Supreme Court decision on partisan gerrymandering.

The United States is a pretty divided country; which may just feel like an inevitable product of our times. But it turns out there’s one partisan tool, in particular, that bears at least some of the blame. It’s something that is used behind closed doors, and that, thanks to the power of software and data, has turned into an ever more powerful partisan weapon. One that has now gone so far that some are saying it’s subverting democracy. And without any intervention, there’s no reason to think the situation will change for the better. Has our democracy crossed a line? And if it has, what is to be done?



Find out more at <a href="https://www.rawdatapodcast.com/" target="_blank">rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/d70ee639-5e5b-4cf5-8613-58cf7fc44058/images/f0ce09d2-ddeb-4c52-8eb9-48a275989d38/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="59140672" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/d70ee639-5e5b-4cf5-8613-58cf7fc44058/RD6_Power_Lines_UPDATE_pt1.mp3"/>
      <content:encoded>
        <![CDATA[<p>Originally broadcast in May 2019, this episode has a new introduction, with an update on the implications of the recent Supreme Court decision on partisan gerrymandering.</p>

<p>The United States is a pretty divided country; which may just feel like an inevitable product of our times. But it turns out there’s one partisan tool, in particular, that bears at least some of the blame. It’s something that is used behind closed doors, and that, thanks to the power of software and data, has turned into an ever more powerful partisan weapon. One that has now gone <em>so</em> far that some are saying it’s subverting democracy. And without any intervention, there’s no reason to think the situation will change for the better. Has our democracy crossed a line? And if it has, what is to be done?</p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_065a1ee0-2b19-47f9-8a30-e59247f839f0</guid>
      <title>Conspiracy Tyranny</title>
      <pubDate>Thu, 04 Jul 2019 08:00:00 -0000</pubDate>
      <link>https://www.rawdatapodcast.com/episodes/2019/7/4/episode-10-conspiracy-tyranny</link>
      <description>
        <![CDATA[<p>If the rise of despots around the world seems bewildering, especially given our unprecedented access to information in 2019 — therein might lie the very problem. A new kind of propaganda has taken hold, one that relies on too <em>much</em> information, instead of too little. In Part III of our mini-series on Russian disinformation, we take a look at how Vladimir Putin, leveraging 21st-century technology, engineered a media climate rife with conflict and conspiracies at home, and then took the strategy global. Not only to our shores, but to places around the world. And with deadly results. We talk with journalist Peter Pomerantsev about his early warnings around Russia’s new menace, how it plays to the advantage of authoritarians — and how we now see their techniques put to use by politicians in the United States.</p>

<hr>

<p>Find out more at<a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank"> rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/065a1ee0-2b19-47f9-8a30-e59247f839f0/RD_Conspiracy_Tyranny_PT1.mp3" type="audio/mpeg" length="47905240"/>
      <itunes:subtitle>Why are authoritarians around the world gaining power? A new, 21st-century brand of propaganda is at least partly to blame. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>10</itunes:episode>
      <itunes:duration>19:57</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[2016 elections]]>
      </category>
      <category>
        <![CDATA[2020 elections]]>
      </category>
      <category>
        <![CDATA[Kate Starbird]]>
      </category>
      <category>
        <![CDATA[Peter Pomerantsev]]>
      </category>
      <category>
        <![CDATA[Russia]]>
      </category>
      <category>
        <![CDATA[Vladimir Putin]]>
      </category>
      <category>
        <![CDATA[conspiracy theories]]>
      </category>
      <category>
        <![CDATA[crisis actors]]>
      </category>
      <category>
        <![CDATA[democracy]]>
      </category>
      <category>
        <![CDATA[disinformation]]>
      </category>
      <category>
        <![CDATA[misinformation]]>
      </category>
      <category>
        <![CDATA[propaganda]]>
      </category>
      <category>
        <![CDATA[radical transparency]]>
      </category>
      <category>
        <![CDATA[social media]]>
      </category>
      <category>
        <![CDATA[syrian civil war]]>
      </category>
      <category>
        <![CDATA[the white helmets]]>
      </category>
      <category>
        <![CDATA[unreality]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[If the rise of despots around the world seems bewildering, especially given our unprecedented access to information in 2019 — therein might lie the very problem. A new kind of propaganda has taken hold, one that relies on too much information, instead of too little. In Part III of our mini-series on Russian disinformation, we take a look at how Vladimir Putin, leveraging 21st-century technology, engineered a media climate rife with conflict and conspiracies at home, and then took the strategy global. Not only to our shores, but to places around the world. And with deadly results. We talk with journalist Peter Pomerantsev about his early warnings around Russia’s new menace, how it plays to the advantage of authoritarians — and how we now see their techniques put to use by politicians in the United States.



Find out more at<a href="https://www.rawdatapodcast.com/" target="_blank"> rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/065a1ee0-2b19-47f9-8a30-e59247f839f0/images/7bc01fbc-f1df-4f12-87c0-02eb4777bee0/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="47905240" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/065a1ee0-2b19-47f9-8a30-e59247f839f0/RD_Conspiracy_Tyranny_PT1.mp3"/>
      <content:encoded>
        <![CDATA[<p>If the rise of despots around the world seems bewildering, especially given our unprecedented access to information in 2019 — therein might lie the very problem. A new kind of propaganda has taken hold, one that relies on too <em>much</em> information, instead of too little. In Part III of our mini-series on Russian disinformation, we take a look at how Vladimir Putin, leveraging 21st-century technology, engineered a media climate rife with conflict and conspiracies at home, and then took the strategy global. Not only to our shores, but to places around the world. And with deadly results. We talk with journalist Peter Pomerantsev about his early warnings around Russia’s new menace, how it plays to the advantage of authoritarians — and how we now see their techniques put to use by politicians in the United States.</p>

<hr>

<p>Find out more at<a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank"> rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_62cd19f4-a768-4a19-9755-54780b611c87</guid>
      <title>Kinetic Effects</title>
      <pubDate>Thu, 27 Jun 2019 08:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_62cd19f4-a768-4a19-9755-54780b611c87&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>We know that Russia has been honing its tools of disinformation since the Cold War, but how did Soviet Era sabotage make the jump into the digital age? How have imposters on social media caused real-world tumult? In Part II of our miniseries on Russian interference, we get into the mechanics of it all, by taking a look at two specific instances when Russia tested out its disinformation strategy inside the United States. Renee DiResta and Kate Starbird, leading experts in the burgeoning field of digital misinformation, bring us up to speed on how Russia honed their misinformation campaign in the lead up to the 2016 election. </p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/62cd19f4-a768-4a19-9755-54780b611c87/RD_Kinetic_Effects_pt1.mp3" type="audio/mpeg" length="46548040"/>
      <itunes:subtitle>Turns out, Russia tried to sow chaos in the United States through digital disinformation and disruption long before the 2016 election. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>9</itunes:episode>
      <itunes:duration>19:23</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[2016 Elections]]>
      </category>
      <category>
        <![CDATA[2020 elections]]>
      </category>
      <category>
        <![CDATA[Cold War]]>
      </category>
      <category>
        <![CDATA[Kate Starbird]]>
      </category>
      <category>
        <![CDATA[Putin]]>
      </category>
      <category>
        <![CDATA[Renee DiResta]]>
      </category>
      <category>
        <![CDATA[Russia]]>
      </category>
      <category>
        <![CDATA[Social media]]>
      </category>
      <category>
        <![CDATA[columbia chemicals plant]]>
      </category>
      <category>
        <![CDATA[conspiracy theories]]>
      </category>
      <category>
        <![CDATA[disinformation]]>
      </category>
      <category>
        <![CDATA[hacking]]>
      </category>
      <category>
        <![CDATA[internet research agency]]>
      </category>
      <category>
        <![CDATA[kinetic effect]]>
      </category>
      <category>
        <![CDATA[misinformation]]>
      </category>
      <category>
        <![CDATA[weaponized information]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[We know that Russia has been honing its tools of disinformation since the Cold War, but how did Soviet Era sabotage make the jump into the digital age? How have imposters on social media caused real-world tumult? In Part II of our miniseries on Russian interference, we get into the mechanics of it all, by taking a look at two specific instances when Russia tested out its disinformation strategy inside the United States. Renee DiResta and Kate Starbird, leading experts in the burgeoning field of digital misinformation, bring us up to speed on how Russia honed their misinformation campaign in the lead up to the 2016 election. 



Find out more at <a href="https://www.rawdatapodcast.com/" target="_blank">rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/62cd19f4-a768-4a19-9755-54780b611c87/images/eacd38f5-6af4-48c7-b69d-5ed6fbff620d/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="46548040" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/62cd19f4-a768-4a19-9755-54780b611c87/RD_Kinetic_Effects_pt1.mp3"/>
      <content:encoded>
        <![CDATA[<p>We know that Russia has been honing its tools of disinformation since the Cold War, but how did Soviet Era sabotage make the jump into the digital age? How have imposters on social media caused real-world tumult? In Part II of our miniseries on Russian interference, we get into the mechanics of it all, by taking a look at two specific instances when Russia tested out its disinformation strategy inside the United States. Renee DiResta and Kate Starbird, leading experts in the burgeoning field of digital misinformation, bring us up to speed on how Russia honed their misinformation campaign in the lead up to the 2016 election. </p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_a3e39ef7-701e-4062-abab-9c8b77c8024d</guid>
      <title>Dezinformatsiya</title>
      <pubDate>Thu, 20 Jun 2019 08:00:00 -0000</pubDate>
      <link>https://www.rawdatapodcast.com/episodes/episode-8-dezinformatsiya</link>
      <description>
        <![CDATA[<p>Russians posing as Americans. Wild conspiracy theories about political figures. Outright fabrications. All part of Russian efforts to interfere in the 2016 elections, certainly. But it turns out this kind of disinformation has been around for decades, since the early days of the Soviet Union. It’s just gotten a lot more powerful, thanks to tech and social media. But to understand what is happening now, we have to understand <em>how</em> we got here: the end of communism in Russia, the rise of democracy, and, ultimately, its demise at the hands of the man behind all this modern-day manipulation — Vladimir Putin. We get a front-row seat to the story with former ambassador to Russia — and a guy who knows about disinformation on a very personal level —  Michael McFaul. First of a three-part series.</p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/a3e39ef7-701e-4062-abab-9c8b77c8024d/RD_Dezinformatsiya_pt1.mp3" type="audio/mpeg" length="88249576"/>
      <itunes:subtitle>The story behind Russian disinformation efforts we saw in 2016? It’s complicated.</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>8</itunes:episode>
      <itunes:duration>36:46</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[2016 Elections]]>
      </category>
      <category>
        <![CDATA[2020 elections]]>
      </category>
      <category>
        <![CDATA[Cold War]]>
      </category>
      <category>
        <![CDATA[Cold War to Hot Peace]]>
      </category>
      <category>
        <![CDATA[Data]]>
      </category>
      <category>
        <![CDATA[Disinformation]]>
      </category>
      <category>
        <![CDATA[Michael McFaul]]>
      </category>
      <category>
        <![CDATA[Mueller Report]]>
      </category>
      <category>
        <![CDATA[PUtin]]>
      </category>
      <category>
        <![CDATA[Russia]]>
      </category>
      <category>
        <![CDATA[Social Media]]>
      </category>
      <category>
        <![CDATA[Soviet Union]]>
      </category>
      <category>
        <![CDATA[USSR]]>
      </category>
      <category>
        <![CDATA[hacking]]>
      </category>
      <category>
        <![CDATA[misinformation]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Russians posing as Americans. Wild conspiracy theories about political figures. Outright fabrications. All part of Russian efforts to interfere in the 2016 elections, certainly. But it turns out this kind of disinformation has been around for decades, since the early days of the Soviet Union. It’s just gotten a lot more powerful, thanks to tech and social media. But to understand what is happening now, we have to understand how we got here: the end of communism in Russia, the rise of democracy, and, ultimately, its demise at the hands of the man behind all this modern-day manipulation — Vladimir Putin. We get a front-row seat to the story with former ambassador to Russia — and a guy who knows about disinformation on a very personal level —  Michael McFaul. First of a three-part series.



Find out more at <a href="https://www.rawdatapodcast.com/" target="_blank">rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/a3e39ef7-701e-4062-abab-9c8b77c8024d/images/dabdd5c3-b430-4dd0-9187-413f1efc09c8/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="88249576" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/a3e39ef7-701e-4062-abab-9c8b77c8024d/RD_Dezinformatsiya_pt1.mp3"/>
      <content:encoded>
        <![CDATA[<p>Russians posing as Americans. Wild conspiracy theories about political figures. Outright fabrications. All part of Russian efforts to interfere in the 2016 elections, certainly. But it turns out this kind of disinformation has been around for decades, since the early days of the Soviet Union. It’s just gotten a lot more powerful, thanks to tech and social media. But to understand what is happening now, we have to understand <em>how</em> we got here: the end of communism in Russia, the rise of democracy, and, ultimately, its demise at the hands of the man behind all this modern-day manipulation — Vladimir Putin. We get a front-row seat to the story with former ambassador to Russia — and a guy who knows about disinformation on a very personal level —  Michael McFaul. First of a three-part series.</p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_79c8a368-1cf7-448b-b38f-6590a1fe01d4</guid>
      <title>Climate and Behavior: Warmer Means Worse</title>
      <pubDate>Thu, 06 Jun 2019 08:00:00 -0000</pubDate>
      <link>https://www.rawdatapodcast.com/episodes/2019/6/6/episode-7-climate-and-behavior-warmer-means-worse</link>
      <description>
        <![CDATA[<p>Climate change is already reshaping the natural world, but how does it affect human behavior? Economist Marshall Burke is part of a growing field of scientists uncovering interactions between global warming and humanity. The connections are vast: wars, violent crime, suicide rates, and income inequality. The emerging research may have the power to help us adapt...if we choose to pay attention to it. </p>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/79c8a368-1cf7-448b-b38f-6590a1fe01d4/RD_Climate_Change_Behavior_pt1.mp3.mp3" type="audio/mpeg" length="52656448"/>
      <itunes:subtitle>Climate change is already reshaping the natural world, but how does it affect human behavior?</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>7</itunes:episode>
      <itunes:duration>27:25</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Adaptation]]>
      </category>
      <category>
        <![CDATA[Agriculture]]>
      </category>
      <category>
        <![CDATA[Climate Change]]>
      </category>
      <category>
        <![CDATA[Climate Conflict]]>
      </category>
      <category>
        <![CDATA[Climate Science]]>
      </category>
      <category>
        <![CDATA[Data]]>
      </category>
      <category>
        <![CDATA[Economics]]>
      </category>
      <category>
        <![CDATA[Environment]]>
      </category>
      <category>
        <![CDATA[Environmental Economics]]>
      </category>
      <category>
        <![CDATA[Marshall Burke]]>
      </category>
      <category>
        <![CDATA[Mental health]]>
      </category>
      <category>
        <![CDATA[Suicide Rates]]>
      </category>
      <category>
        <![CDATA[Twitter]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Climate change is already reshaping the natural world, but how does it affect human behavior? Economist Marshall Burke is part of a growing field of scientists uncovering interactions between global warming and humanity. The connections are vast: wars, violent crime, suicide rates, and income inequality. The emerging research may have the power to help us adapt...if we choose to pay attention to it. 

Find out more at <a href="https://www.rawdatapodcast.com/" target="_blank">rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/79c8a368-1cf7-448b-b38f-6590a1fe01d4/images/2f75dfaf-7329-4c84-96a8-7e5d7cfecb9f/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="52656448" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/79c8a368-1cf7-448b-b38f-6590a1fe01d4/RD_Climate_Change_Behavior_pt1.mp3.mp3"/>
      <content:encoded>
        <![CDATA[<p>Climate change is already reshaping the natural world, but how does it affect human behavior? Economist Marshall Burke is part of a growing field of scientists uncovering interactions between global warming and humanity. The connections are vast: wars, violent crime, suicide rates, and income inequality. The emerging research may have the power to help us adapt...if we choose to pay attention to it. </p>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_03069d9a-8dd7-4a2a-a699-b2b5a39769af</guid>
      <title>Power Lines</title>
      <pubDate>Mon, 13 May 2019 08:02:00 -0000</pubDate>
      <link>https://www.rawdatapodcast.com/episodes/2019/5/14/episode-6-power-lines</link>
      <description>
        <![CDATA[<p>The United States is a pretty divided country; which may just feel like an inevitable product of our times. But it turns out there’s one partisan tool, in particular, that bears at least some of the blame. It’s something that is used behind closed doors, and that, thanks to the power of software and data, has turned into an ever more powerful partisan weapon. One that has now gone <em>so</em> far that some are saying it’s subverting democracy. And without any intervention, there’s no reason to think the situation will change for the better. Has our democracy crossed a line? And if it has, what is to be done?</p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/03069d9a-8dd7-4a2a-a699-b2b5a39769af/RD6_Gerrymander_final_PT1.mp3" type="audio/mpeg" length="65947648"/>
      <itunes:subtitle>Is the United States still a representative democracy? Thanks to an oft-overlooked partisan weapon — one that’s gotten immensely more powerful, thanks to software and data — the answer is complicated.</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>6</itunes:episode>
      <itunes:duration>27:28</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[2020 census]]>
      </category>
      <category>
        <![CDATA[2020 election]]>
      </category>
      <category>
        <![CDATA[U.S. elections]]>
      </category>
      <category>
        <![CDATA[census]]>
      </category>
      <category>
        <![CDATA[data]]>
      </category>
      <category>
        <![CDATA[gerrymandering]]>
      </category>
      <category>
        <![CDATA[politics]]>
      </category>
      <category>
        <![CDATA[redistricting]]>
      </category>
      <category>
        <![CDATA[redistricting software]]>
      </category>
      <category>
        <![CDATA[redmap]]>
      </category>
      <category>
        <![CDATA[software]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[The United States is a pretty divided country; which may just feel like an inevitable product of our times. But it turns out there’s one partisan tool, in particular, that bears at least some of the blame. It’s something that is used behind closed doors, and that, thanks to the power of software and data, has turned into an ever more powerful partisan weapon. One that has now gone so far that some are saying it’s subverting democracy. And without any intervention, there’s no reason to think the situation will change for the better. Has our democracy crossed a line? And if it has, what is to be done?



Find out more at <a href="https://www.rawdatapodcast.com/" target="_blank">rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/03069d9a-8dd7-4a2a-a699-b2b5a39769af/images/c2f0baae-4788-4066-b892-b5028db638c5/RawData_ForWeb_RGB.png"/>
      <media:content fileSize="65947648" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/03069d9a-8dd7-4a2a-a699-b2b5a39769af/RD6_Gerrymander_final_PT1.mp3"/>
      <content:encoded>
        <![CDATA[<p>The United States is a pretty divided country; which may just feel like an inevitable product of our times. But it turns out there’s one partisan tool, in particular, that bears at least some of the blame. It’s something that is used behind closed doors, and that, thanks to the power of software and data, has turned into an ever more powerful partisan weapon. One that has now gone <em>so</em> far that some are saying it’s subverting democracy. And without any intervention, there’s no reason to think the situation will change for the better. Has our democracy crossed a line? And if it has, what is to be done?</p>

<hr>

<p>Find out more at <a href="https://www.rawdatapodcast.com/" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_07080de8-96e5-4c06-8968-13e286facb42</guid>
      <title>Titan vs. Titan: A.I. &amp; the Race for Global Supremacy </title>
      <pubDate>Thu, 02 May 2019 05:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_07080de8-96e5-4c06-8968-13e286facb42&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>There’s an epic struggle under way: a challenge to lead the world in A.I. — artificial intelligence. But this space race for the 21st century doesn’t seem to be getting enough attention from at least one of the world’s superpowers — the United States. Futurist Amy Webb tells the story of the world’s leading artificial intelligence companies, and the struggle between East and West in her new book, <em>The Big Nine: How the Tech Titans &amp; Their Thinking Machines Could Warp Humanity.</em> We learn about China’s growing dominance in A.I., and how U.S. companies, in spite of stunning technological innovation, might someday fall behind. What’s at stake is nothing less than the future of power, governance, and freedom.</p>

<hr>

<p>Find out more at <a href="http://rawdatapodcast.com" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/07080de8-96e5-4c06-8968-13e286facb42/RD5_AmyWebb_final_pt1.mp3" type="audio/mpeg" length="61272616"/>
      <itunes:title>Titan vs. Titan: A.I. &amp; the Race for Global Supremacy</itunes:title>
      <itunes:subtitle>The future is all about AI, but right now the USA has...no clear plan. Meanwhile China is literally paving the way for world dominance.</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>5</itunes:episode>
      <itunes:duration>25:31</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[5G]]>
      </category>
      <category>
        <![CDATA[AGI]]>
      </category>
      <category>
        <![CDATA[AI]]>
      </category>
      <category>
        <![CDATA[ANI]]>
      </category>
      <category>
        <![CDATA[Amy Webb]]>
      </category>
      <category>
        <![CDATA[BAT]]>
      </category>
      <category>
        <![CDATA[Big 9]]>
      </category>
      <category>
        <![CDATA[Big Nine]]>
      </category>
      <category>
        <![CDATA[Chess]]>
      </category>
      <category>
        <![CDATA[China]]>
      </category>
      <category>
        <![CDATA[Computing]]>
      </category>
      <category>
        <![CDATA[Deepmind]]>
      </category>
      <category>
        <![CDATA[G-MAFIA]]>
      </category>
      <category>
        <![CDATA[Go]]>
      </category>
      <category>
        <![CDATA[artificial intelligence]]>
      </category>
      <category>
        <![CDATA[belt and road]]>
      </category>
      <category>
        <![CDATA[data]]>
      </category>
      <category>
        <![CDATA[google]]>
      </category>
      <category>
        <![CDATA[machine learning]]>
      </category>
      <category>
        <![CDATA[surveillance]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[There’s an epic struggle under way: a challenge to lead the world in A.I. — artificial intelligence. But this space race for the 21st century doesn’t seem to be getting enough attention from at least one of the world’s superpowers — the United States. Futurist Amy Webb tells the story of the world’s leading artificial intelligence companies, and the struggle between East and West in her new book, The Big Nine: How the Tech Titans &amp; Their Thinking Machines Could Warp Humanity. We learn about China’s growing dominance in A.I., and how U.S. companies, in spite of stunning technological innovation, might someday fall behind. What’s at stake is nothing less than the future of power, governance, and freedom.



Find out more at <a href="http://rawdatapodcast.com" target="_blank">rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/07080de8-96e5-4c06-8968-13e286facb42/images/315866a3-8780-43a3-a38c-5aa1e782d743/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="61272616" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/07080de8-96e5-4c06-8968-13e286facb42/RD5_AmyWebb_final_pt1.mp3"/>
      <content:encoded>
        <![CDATA[<p>There’s an epic struggle under way: a challenge to lead the world in A.I. — artificial intelligence. But this space race for the 21st century doesn’t seem to be getting enough attention from at least one of the world’s superpowers — the United States. Futurist Amy Webb tells the story of the world’s leading artificial intelligence companies, and the struggle between East and West in her new book, <em>The Big Nine: How the Tech Titans &amp; Their Thinking Machines Could Warp Humanity.</em> We learn about China’s growing dominance in A.I., and how U.S. companies, in spite of stunning technological innovation, might someday fall behind. What’s at stake is nothing less than the future of power, governance, and freedom.</p>

<hr>

<p>Find out more at <a href="http://rawdatapodcast.com" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_0ba93be5-ba60-4a1d-a516-2d554c3d65f5</guid>
      <title>Weaponized</title>
      <pubDate>Thu, 25 Apr 2019 04:00:00 -0000</pubDate>
      <link>https://www.rawdatapodcast.com/episodes/2019/4/24/episode-4-weaponized</link>
      <description>
        <![CDATA[<p>When we think of killer robots, images of the Terminator, Robocop, and other dystopian movies often spring to mind. These movies usually don’t end well (for the humans, at least). So it seems crazy that we would even consider building machines programmed to kill. On the other hand, some argue that autonomous weapons could save lives on the battlefield. We are not yet living in a world killer robots; but we might be getting close. What goes into the decision to kill? How can we possibly program robots to make the right decisions, given the moral stakes? </p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/0ba93be5-ba60-4a1d-a516-2d554c3d65f5/RD_Weaponized_p1.mp3" type="audio/mpeg" length="51513719"/>
      <itunes:subtitle>The whole idea of killer robots used to be pure science fiction, but it turns out that AI and autonomous weapons are increasingly showing up on the battlefield. How close are we to actually having machines and algorithms that will select targets and make the decision to kill, without any human intervention? The alarming truth is that we are probably much closer than you might think. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>4</itunes:episode>
      <itunes:duration>26:49</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[AI]]>
      </category>
      <category>
        <![CDATA[Artificial intelligence]]>
      </category>
      <category>
        <![CDATA[Black Mirror]]>
      </category>
      <category>
        <![CDATA[Killer robots]]>
      </category>
      <category>
        <![CDATA[autonomous weapons]]>
      </category>
      <category>
        <![CDATA[data]]>
      </category>
      <category>
        <![CDATA[data war]]>
      </category>
      <category>
        <![CDATA[drones]]>
      </category>
      <category>
        <![CDATA[facial recognition]]>
      </category>
      <category>
        <![CDATA[military]]>
      </category>
      <category>
        <![CDATA[slaughterbots]]>
      </category>
      <category>
        <![CDATA[war]]>
      </category>
      <category>
        <![CDATA[weaponized AI]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[When we think of killer robots, images of the Terminator, Robocop, and other dystopian movies often spring to mind. These movies usually don’t end well (for the humans, at least). So it seems crazy that we would even consider building machines programmed to kill. On the other hand, some argue that autonomous weapons could save lives on the battlefield. We are not yet living in a world killer robots; but we might be getting close. What goes into the decision to kill? How can we possibly program robots to make the right decisions, given the moral stakes? ]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/images/bb0e3d82-8c62-404a-9438-c337377cb976/RawData_ForWeb_RGB.png"/>
      <media:content fileSize="51513719" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/0ba93be5-ba60-4a1d-a516-2d554c3d65f5/RD_Weaponized_p1.mp3"/>
      <content:encoded>
        <![CDATA[<p>When we think of killer robots, images of the Terminator, Robocop, and other dystopian movies often spring to mind. These movies usually don’t end well (for the humans, at least). So it seems crazy that we would even consider building machines programmed to kill. On the other hand, some argue that autonomous weapons could save lives on the battlefield. We are not yet living in a world killer robots; but we might be getting close. What goes into the decision to kill? How can we possibly program robots to make the right decisions, given the moral stakes? </p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_e7d8be36-7eab-4dae-9a4b-d1a4a8fcb828</guid>
      <title>About Us, But Not for Us</title>
      <pubDate>Thu, 11 Apr 2019 04:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=prx_190_e7d8be36-7eab-4dae-9a4b-d1a4a8fcb828&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>Shoshana Zuboff doesn’t mince words when it comes to the data economy. According to Zuboff, author of the recent book *The Age of Surveillance Capitalism, *our very souls are at stake. But the seeds of surveillance capitalism were planted rather innocently, back in the heady days of the dotcom bubble. As Zuboff tells it, it all began with Google. When the young company entered crisis mode, they needed to find new ways to make money. And a whole new economic logic was born — one that has now spread across every sector of the economy, and has invaded every facet of our online lives. Zuboff warns that surveillance capitalism threatens much more than just our privacy. </p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/e7d8be36-7eab-4dae-9a4b-d1a4a8fcb828/RD_About_Us_But_Not_for_Us_p1.mp3" type="audio/mpeg" length="41550226"/>
      <itunes:subtitle>Tech companies are making billions of dollars off of our data. How did we get here? According to Shoshana Zuboff, author of a new book about surveillance capitalism, it all started at Google. And she says the costs of this new economic model are far greater than most of us ever imagined. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>3</itunes:episode>
      <itunes:duration>28:50</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Larry page]]>
      </category>
      <category>
        <![CDATA[Sergey Brin]]>
      </category>
      <category>
        <![CDATA[advertising]]>
      </category>
      <category>
        <![CDATA[capitalism]]>
      </category>
      <category>
        <![CDATA[computers]]>
      </category>
      <category>
        <![CDATA[computing]]>
      </category>
      <category>
        <![CDATA[dot com boom]]>
      </category>
      <category>
        <![CDATA[dot com bubble]]>
      </category>
      <category>
        <![CDATA[google]]>
      </category>
      <category>
        <![CDATA[personal data]]>
      </category>
      <category>
        <![CDATA[privacy]]>
      </category>
      <category>
        <![CDATA[search engine]]>
      </category>
      <category>
        <![CDATA[sheryl sandberg]]>
      </category>
      <category>
        <![CDATA[surveillance]]>
      </category>
      <category>
        <![CDATA[surveillance capitalism]]>
      </category>
      <category>
        <![CDATA[targeted advertising]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Shoshana Zuboff doesn’t mince words when it comes to the data economy. According to Zuboff, author of the recent book *The Age of Surveillance Capitalism, *our very souls are at stake. But the seeds of surveillance capitalism were planted rather innocently, back in the heady days of the dotcom bubble. As Zuboff tells it, it all began with Google. When the young company entered crisis mode, they needed to find new ways to make money. And a whole new economic logic was born — one that has now spread across every sector of the economy, and has invaded every facet of our online lives. Zuboff warns that surveillance capitalism threatens much more than just our privacy. ]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/images/bb0e3d82-8c62-404a-9438-c337377cb976/RawData_ForWeb_RGB.png"/>
      <media:content fileSize="41550226" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/e7d8be36-7eab-4dae-9a4b-d1a4a8fcb828/RD_About_Us_But_Not_for_Us_p1.mp3"/>
      <content:encoded>
        <![CDATA[<p>Shoshana Zuboff doesn’t mince words when it comes to the data economy. According to Zuboff, author of the recent book *The Age of Surveillance Capitalism, *our very souls are at stake. But the seeds of surveillance capitalism were planted rather innocently, back in the heady days of the dotcom bubble. As Zuboff tells it, it all began with Google. When the young company entered crisis mode, they needed to find new ways to make money. And a whole new economic logic was born — one that has now spread across every sector of the economy, and has invaded every facet of our online lives. Zuboff warns that surveillance capitalism threatens much more than just our privacy. </p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_064c4c7e-2d3a-4f39-b312-66d4c3def6c1</guid>
      <title>Power from the People, Part II: A New Kind of Machine </title>
      <pubDate>Thu, 04 Apr 2019 04:00:00 -0000</pubDate>
      <link>https://www.rawdatapodcast.com/episodes/2019/4/4/episode-2-power-from-the-people-part-ii-a-new-kind-of-machine</link>
      <description>
        <![CDATA[<p>At the start of the 20th century, the United States Census Bureau was in a bit of a pickle. The electric tabulating machines that had saved the census in 1890 worked beautifully — but they were expensive. And there was only one source: Herman Hollerith (an inventor who helped lay the foundation for IBM). So the census decided to go into business for itself. They started up their own machine shop to, essentially, copy Hollerith’s device. This decision set off a cascade of events that, by the 1950s, set the stage for one of the most important moments in tech history — the birth of an entirely new kind of machine.</p>

<hr>

<p>Find out more at <a href="http://rawdatapodcast.com" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/064c4c7e-2d3a-4f39-b312-66d4c3def6c1/RD2_Census2_final_PT1.mp3" type="audio/mpeg" length="47644240"/>
      <itunes:subtitle>Facing down yet another crisis, the U.S. census adopted a brand new kind of technology — and in doing so, brought forth a machine that would change the world. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>2</itunes:episode>
      <itunes:duration>19:51</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[ENIAC]]>
      </category>
      <category>
        <![CDATA[Eckert]]>
      </category>
      <category>
        <![CDATA[Hollerith]]>
      </category>
      <category>
        <![CDATA[IBM]]>
      </category>
      <category>
        <![CDATA[Presper]]>
      </category>
      <category>
        <![CDATA[Remington Rand]]>
      </category>
      <category>
        <![CDATA[U.S. census]]>
      </category>
      <category>
        <![CDATA[UNIVAC]]>
      </category>
      <category>
        <![CDATA[census]]>
      </category>
      <category>
        <![CDATA[census bureau]]>
      </category>
      <category>
        <![CDATA[computer history]]>
      </category>
      <category>
        <![CDATA[computing]]>
      </category>
      <category>
        <![CDATA[data]]>
      </category>
      <category>
        <![CDATA[data processing]]>
      </category>
      <category>
        <![CDATA[electronic computer]]>
      </category>
      <category>
        <![CDATA[punch cards]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[At the start of the 20th century, the United States Census Bureau was in a bit of a pickle. The electric tabulating machines that had saved the census in 1890 worked beautifully — but they were expensive. And there was only one source: Herman Hollerith (an inventor who helped lay the foundation for IBM). So the census decided to go into business for itself. They started up their own machine shop to, essentially, copy Hollerith’s device. This decision set off a cascade of events that, by the 1950s, set the stage for one of the most important moments in tech history — the birth of an entirely new kind of machine.



Find out more at <a href="http://rawdatapodcast.com" target="_blank">rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/images/bb0e3d82-8c62-404a-9438-c337377cb976/RawData_ForWeb_RGB.png"/>
      <media:content fileSize="47644240" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/064c4c7e-2d3a-4f39-b312-66d4c3def6c1/RD2_Census2_final_PT1.mp3"/>
      <content:encoded>
        <![CDATA[<p>At the start of the 20th century, the United States Census Bureau was in a bit of a pickle. The electric tabulating machines that had saved the census in 1890 worked beautifully — but they were expensive. And there was only one source: Herman Hollerith (an inventor who helped lay the foundation for IBM). So the census decided to go into business for itself. They started up their own machine shop to, essentially, copy Hollerith’s device. This decision set off a cascade of events that, by the 1950s, set the stage for one of the most important moments in tech history — the birth of an entirely new kind of machine.</p>

<hr>

<p>Find out more at <a href="http://rawdatapodcast.com" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_ffb4fd26-7c6d-42a3-89bc-0818921f6834</guid>
      <title>Power from the People</title>
      <pubDate>Thu, 21 Mar 2019 04:00:00 -0000</pubDate>
      <link>https://www.rawdatapodcast.com/episodes/2019/3/20/power-from-the-people</link>
      <description>
        <![CDATA[<p>At the birth of the United States, the new nation faced a problem. How do you make a crazy new idea — power coming not from a king, but from the people — a reality? There was no handbook; the framers of the Constitution had to just kind of make it up. They landed on the idea of a census. You count the people in each state, and apportion power thusly. A great idea, and certainly a totally new one. But also one that, over the centuries, led to a multitude of unforeseen crises. It turned out that, to keep representative democracy on the rails required some technical innovations — and led to the invention of a magnificent, and very significant, machine. </p>

<hr>

<p>Find out more at <a href="http://rawdatapodcast.com" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/ffb4fd26-7c6d-42a3-89bc-0818921f6834/RD1_Census_final_PT1.mp3" type="audio/mpeg" length="67148248"/>
      <itunes:subtitle>How the U.S. constitution created a series of data crises, and catalyzed the American computer industry in the process. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:episode>1</itunes:episode>
      <itunes:duration>27:58</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Hollerith]]>
      </category>
      <category>
        <![CDATA[IBM]]>
      </category>
      <category>
        <![CDATA[Spreadsheet]]>
      </category>
      <category>
        <![CDATA[census]]>
      </category>
      <category>
        <![CDATA[computers]]>
      </category>
      <category>
        <![CDATA[computing]]>
      </category>
      <category>
        <![CDATA[constitution]]>
      </category>
      <category>
        <![CDATA[data]]>
      </category>
      <category>
        <![CDATA[democracy]]>
      </category>
      <category>
        <![CDATA[enumerator]]>
      </category>
      <category>
        <![CDATA[keyboard]]>
      </category>
      <category>
        <![CDATA[power]]>
      </category>
      <category>
        <![CDATA[punch cards]]>
      </category>
      <category>
        <![CDATA[representatives]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[At the birth of the United States, the new nation faced a problem. How do you make a crazy new idea — power coming not from a king, but from the people — a reality? There was no handbook; the framers of the Constitution had to just kind of make it up. They landed on the idea of a census. You count the people in each state, and apportion power thusly. A great idea, and certainly a totally new one. But also one that, over the centuries, led to a multitude of unforeseen crises. It turned out that, to keep representative democracy on the rails required some technical innovations — and led to the invention of a magnificent, and very significant, machine. 



Find out more at <a href="http://rawdatapodcast.com" target="_blank">rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/ffb4fd26-7c6d-42a3-89bc-0818921f6834/images/276e9753-be2b-43f1-897b-ccd70638a0c1/RawData_ForWeb_RGB_1_.jpg"/>
      <media:content fileSize="67148248" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/ffb4fd26-7c6d-42a3-89bc-0818921f6834/RD1_Census_final_PT1.mp3"/>
      <content:encoded>
        <![CDATA[<p>At the birth of the United States, the new nation faced a problem. How do you make a crazy new idea — power coming not from a king, but from the people — a reality? There was no handbook; the framers of the Constitution had to just kind of make it up. They landed on the idea of a census. You count the people in each state, and apportion power thusly. A great idea, and certainly a totally new one. But also one that, over the centuries, led to a multitude of unforeseen crises. It turned out that, to keep representative democracy on the rails required some technical innovations — and led to the invention of a magnificent, and very significant, machine. </p>

<hr>

<p>Find out more at <a href="http://rawdatapodcast.com" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">prx_190_29dbfa68-b2c3-42b6-8d0e-c6783d9903f8</guid>
      <title>Meet Raw Data</title>
      <pubDate>Thu, 07 Mar 2019 21:18:08 -0000</pubDate>
      <link>https://www.rawdatapodcast.com/episodes/2019/3/7/raw-data-trailer</link>
      <description>
        <![CDATA[<p>On Raw Data, we take a look at the new source of power in the 21st century: data. Whoever controls data has power. But is this making things better? Worse? Raw Data is a show about how information becomes power.</p>

<p>Find out more at <a href="http://rawdatapodcast.com" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/29dbfa68-b2c3-42b6-8d0e-c6783d9903f8/RD_Trailer_022819.mp3" type="audio/mpeg" length="5933180"/>
      <itunes:subtitle>Announcing Raw Data. Coming March 21st</itunes:subtitle>
      <itunes:episodeType>trailer</itunes:episodeType>
      <itunes:season>4</itunes:season>
      <itunes:duration>02:28</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <category>
        <![CDATA[Big data]]>
      </category>
      <category>
        <![CDATA[Data science]]>
      </category>
      <category>
        <![CDATA[Information Technology]]>
      </category>
      <category>
        <![CDATA[New Podcast]]>
      </category>
      <category>
        <![CDATA[PRX]]>
      </category>
      <category>
        <![CDATA[Science]]>
      </category>
      <category>
        <![CDATA[Stanford]]>
      </category>
      <category>
        <![CDATA[Technology]]>
      </category>
      <category>
        <![CDATA[ad-free]]>
      </category>
      <category>
        <![CDATA[computers]]>
      </category>
      <category>
        <![CDATA[data]]>
      </category>
      <category>
        <![CDATA[information]]>
      </category>
      <category>
        <![CDATA[robots]]>
      </category>
      <category>
        <![CDATA[society & culture]]>
      </category>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[On Raw Data, we take a look at the new source of power in the 21st century: data. Whoever controls data has power. But is this making things better? Worse? Raw Data is a show about how information becomes power.

Find out more at <a href="http://rawdatapodcast.com" target="_blank">rawdatapodcast.com</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/29dbfa68-b2c3-42b6-8d0e-c6783d9903f8/images/67201f34-5a55-417f-bd03-d632f8fb1ee7/RawData_ForWeb_RGB.jpg"/>
      <media:content fileSize="5933180" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/29dbfa68-b2c3-42b6-8d0e-c6783d9903f8/RD_Trailer_022819.mp3"/>
      <content:encoded>
        <![CDATA[<p>On Raw Data, we take a look at the new source of power in the 21st century: data. Whoever controls data has power. But is this making things better? Worse? Raw Data is a show about how information becomes power.</p>

<p>Find out more at <a href="http://rawdatapodcast.com" rel="nofollow" target="_blank">rawdatapodcast.com</a></p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">e5c55f46-9052-11e8-980c-0eb9241eb532</guid>
      <title>Reckoning</title>
      <pubDate>Thu, 26 Jul 2018 12:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=e5c55f46-9052-11e8-980c-0eb9241eb532&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>Silicon Valley and Washington DC have a showdown when Zuckerberg goes before Congress. Silicon Valley has grown powerful because it advances a vision for how technology will set us free. So what’s missing from the Silicon Valley story?</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/9c017a17-ff0a-4679-8a49-6666e29c93bd/raw-data-origins-of-power-ep-12-reckoning.mp3" type="audio/mpeg" length="17348840"/>
      <itunes:title>Reckoning</itunes:title>
      <itunes:subtitle>Silicon Valley and Washington DC have a showdown when Zuckerberg goes before Congress. Silicon Valley has grown powerful because it advances a vision for how technology will set us free. So what’s missing from the Silicon Valley story?</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>12</itunes:episode>
      <itunes:duration>35:47</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Silicon Valley and Washington DC have a showdown when Zuckerberg goes before Congress. Silicon Valley has grown powerful because it advances a vision for how technology will set us free. So what’s missing from the Silicon Valley story?]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/9c017a17-ff0a-4679-8a49-6666e29c93bd/images/695acce0-0dbc-4abb-b876-e5314e35832b/main.jpg"/>
      <media:content fileSize="17348840" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/9c017a17-ff0a-4679-8a49-6666e29c93bd/raw-data-origins-of-power-ep-12-reckoning.mp3"/>
      <content:encoded>
        <![CDATA[<p>Silicon Valley and Washington DC have a showdown when Zuckerberg goes before Congress. Silicon Valley has grown powerful because it advances a vision for how technology will set us free. So what’s missing from the Silicon Valley story?</p>]]>
      </content:encoded>
    </item>
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      <title>Inevitability</title>
      <pubDate>Thu, 19 Jul 2018 12:00:00 -0000</pubDate>
      <link>http://worldview.stanford.edu/raw-data/inevitability</link>
      <description>
        <![CDATA[<p>Technology is an almost god-like force that acts upon all of humanity. What does it actually want?</p>]]>
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      <itunes:title>Inevitability</itunes:title>
      <itunes:subtitle>Technology is an almost god-like force that acts upon all of humanity. What does it actually want?</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>11</itunes:episode>
      <itunes:duration>28:53</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Technology is an almost god-like force that acts upon all of humanity. What does it actually want?]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/7d81a0c3-8c40-4fa9-a736-a2567499eee4/images/4945cfb9-705a-435d-8f16-f0fb4c5f58c5/main.jpg"/>
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      <content:encoded>
        <![CDATA[<p>Technology is an almost god-like force that acts upon all of humanity. What does it actually want?</p>]]>
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      <title>Democracy</title>
      <pubDate>Thu, 12 Jul 2018 12:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=535fa17e-8586-11e8-8251-0e6d85b0c092&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>Can democracy survive the internet? What country will take the lead in shaping our online environment – and how?</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/9c801305-ad91-425e-b744-39fdac8705eb/raw-data-origins-of-power-ep10-democracy.mp3" type="audio/mpeg" length="10477973"/>
      <itunes:title>Democracy</itunes:title>
      <itunes:subtitle>Can democracy survive the internet? What country will take the lead in shaping our online environment – and how?</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>10</itunes:episode>
      <itunes:duration>21:49</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Can democracy survive the internet? What country will take the lead in shaping our online environment – and how?]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/9c801305-ad91-425e-b744-39fdac8705eb/images/dae59b72-70fb-4717-b405-45a5740ff0b1/main.jpg"/>
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      <content:encoded>
        <![CDATA[<p>Can democracy survive the internet? What country will take the lead in shaping our online environment – and how?</p>]]>
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      <title>Gatekeepers</title>
      <pubDate>Thu, 05 Jul 2018 12:00:00 -0000</pubDate>
      <link>http://worldview.stanford.edu/raw-data/gate-keepers</link>
      <description>
        <![CDATA[<p>The tech giants that control the internet have destroyed 20th century institutions and challenged the role of an independent press. Whither the 4th estate? Susan Athey, Frank Foer.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/04457b43-079e-4a14-80af-e2c96e6b7c03/raw-data-origins-of-power-ep9-gatekeepers.mp3" type="audio/mpeg" length="19076963"/>
      <itunes:title>Gatekeepers</itunes:title>
      <itunes:subtitle>The tech giants that control the internet have destroyed 20th century institutions and challenged the role of an independent press. Whither the 4th estate? Susan Athey, Frank Foer. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>9</itunes:episode>
      <itunes:duration>26:29</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[The tech giants that control the internet have destroyed 20th century institutions and challenged the role of an independent press. Whither the 4th estate? Susan Athey, Frank Foer.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/04457b43-079e-4a14-80af-e2c96e6b7c03/images/c2f114e2-f976-431d-abec-ce78c909ec31/main.jpg"/>
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      <content:encoded>
        <![CDATA[<p>The tech giants that control the internet have destroyed 20th century institutions and challenged the role of an independent press. Whither the 4th estate? Susan Athey, Frank Foer.</p>]]>
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      <title>All the World's a Stage</title>
      <pubDate>Thu, 28 Jun 2018 12:00:00 -0000</pubDate>
      <link>https://play.prx.org/listen?ge=20e76d54-7a72-11e8-8b71-0e8e55ba7bb4&amp;uf=http%3A%2F%2Ffeeds.prx.org%2Frawdatapodcast</link>
      <description>
        <![CDATA[<p>Within 15 years, social media has become the dominant force shaping the Valley. What does it mean for individuals around the world and for society at large to be publicly performing in so many aspects of our lives? Andrew Smith, Alice Marwick.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/7732d222-f2d2-43cc-aa03-665b64578796/raw-data-origins-of-power-ep-8-all-the-worlds-a-stage---20180627.mp3" type="audio/mpeg" length="28030247"/>
      <itunes:title>All the World's a Stage</itunes:title>
      <itunes:subtitle>Within 15 years, social media has become the dominant force shaping the Valley. What does it mean for individuals around the world and for society at large to be publicly performing in so many aspects of our lives? Andrew Smith, Alice Marwick. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>8</itunes:episode>
      <itunes:duration>38:40</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Within 15 years, social media has become the dominant force shaping the Valley. What does it mean for individuals around the world and for society at large to be publicly performing in so many aspects of our lives? Andrew Smith, Alice Marwick.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/7732d222-f2d2-43cc-aa03-665b64578796/images/88115726-2999-47bf-9786-5b983451cae0/main.jpg"/>
      <media:content fileSize="28030247" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/7732d222-f2d2-43cc-aa03-665b64578796/raw-data-origins-of-power-ep-8-all-the-worlds-a-stage---20180627.mp3"/>
      <content:encoded>
        <![CDATA[<p>Within 15 years, social media has become the dominant force shaping the Valley. What does it mean for individuals around the world and for society at large to be publicly performing in so many aspects of our lives? Andrew Smith, Alice Marwick.</p>]]>
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      <title>The Garage</title>
      <pubDate>Thu, 21 Jun 2018 12:00:00 -0000</pubDate>
      <link>http://worldview.stanford.edu/raw-data/garage</link>
      <description>
        <![CDATA[<p>Silicon Valley reveres garage start-ups and the myth of the entrepreneur. But, in the wake of the dotcom crash, power dynamics shift. Have the entrepreneurs, these quintessential American characters,captured too much power? Steve Blank, Sarah Lacy.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/c1b00841-3d43-4583-9c9b-0465dfae6666/raw-data-origins-of-power-ep-7-the-garage---20180619.mp3" type="audio/mpeg" length="18175869"/>
      <itunes:title>The Garage</itunes:title>
      <itunes:subtitle>Silicon Valley reveres garage start-ups and the myth of the entrepreneur. But, in the wake of the dotcom crash, power dynamics shift. Have the entrepreneurs, these quintessential American characters,captured too much power? Steve Blank, Sarah Lacy. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>7</itunes:episode>
      <itunes:duration>24:42</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Silicon Valley reveres garage start-ups and the myth of the entrepreneur. But, in the wake of the dotcom crash, power dynamics shift. Have the entrepreneurs, these quintessential American characters,captured too much power? Steve Blank, Sarah Lacy.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/c1b00841-3d43-4583-9c9b-0465dfae6666/images/fa08bed1-724b-49fb-9d80-e7775fe928d3/main.png"/>
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      <content:encoded>
        <![CDATA[<p>Silicon Valley reveres garage start-ups and the myth of the entrepreneur. But, in the wake of the dotcom crash, power dynamics shift. Have the entrepreneurs, these quintessential American characters,captured too much power? Steve Blank, Sarah Lacy.</p>]]>
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      <title>Land of the Free Dotcom</title>
      <pubDate>Thu, 07 Jun 2018 12:00:00 -0000</pubDate>
      <link>http://worldview.stanford.edu/raw-data/land-free-dotcom</link>
      <description>
        <![CDATA[<p>Netscape’s IPO electrifies the dotcom era, and “New Economy” proponents insist that cyberspace will redefine the rules of prosperity. The data economy is born. Guests: Fred Turner, Kevin Kelly, Lou Montulli, Rosanne Siino, Tim Wu.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/8229150a-f4f6-4069-a8f6-89a85fe2c3a3/raw-data-origins-of-power-ep6-land-of-the-free-dotcom---20150606.mp3" type="audio/mpeg" length="26240464"/>
      <itunes:subtitle>Netscape’s IPO electrifies the dotcom era, and “New Economy” proponents insist that cyberspace will redefine the rules of prosperity. The data economy is born. Guests: Fred Turner, Kevin Kelly, Lou Montulli, Rosanne Siino, Tim Wu. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>6</itunes:episode>
      <itunes:duration>36:09</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Netscape’s IPO electrifies the dotcom era, and “New Economy” proponents insist that cyberspace will redefine the rules of prosperity. The data economy is born. Guests: Fred Turner, Kevin Kelly, Lou Montulli, Rosanne Siino, Tim Wu.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/8229150a-f4f6-4069-a8f6-89a85fe2c3a3/images/60d2ebe1-d93d-4338-aa67-61352bbce46d/main.png"/>
      <media:content fileSize="26240464" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/8229150a-f4f6-4069-a8f6-89a85fe2c3a3/raw-data-origins-of-power-ep6-land-of-the-free-dotcom---20150606.mp3"/>
      <content:encoded>
        <![CDATA[<p>Netscape’s IPO electrifies the dotcom era, and “New Economy” proponents insist that cyberspace will redefine the rules of prosperity. The data economy is born. Guests: Fred Turner, Kevin Kelly, Lou Montulli, Rosanne Siino, Tim Wu.</p>]]>
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      <title>The Triple Fence</title>
      <pubDate>Thu, 31 May 2018 12:00:00 -0000</pubDate>
      <link>http://worldview.stanford.edu/raw-data/triple-fence</link>
      <description>
        <![CDATA[<p>In the post-Watergate era, two academics battle the NSA and establish the technology that protects our online information. Cryptography remains a fundamental tool, but can it save us from entering a post-privacy world? Guests: Michal Kosinski, Whit Diffie, Marty Hellman, and Henry Corrigan-Gibbs</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/ef68f4ec-5aa5-485c-9af2-bf59c30b22ea/raw-data-origins-of-power-ep-5-the-triple-fence---20180530-v2.mp3" type="audio/mpeg" length="24609406"/>
      <itunes:subtitle>In the post-Watergate era, two academics battle the NSA and establish the technology that protects our online information. Cryptography remains a fundamental tool, but can it save us from entering a post-privacy world? Guests: Michal Kosinski, Whit Diffie, Marty Hellman, and Henry Corrigan-Gibbs</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>5</itunes:episode>
      <itunes:duration>33:53</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[In the post-Watergate era, two academics battle the NSA and establish the technology that protects our online information. Cryptography remains a fundamental tool, but can it save us from entering a post-privacy world? Guests: Michal Kosinski, Whit Diffie, Marty Hellman, and Henry Corrigan-Gibbs]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/ef68f4ec-5aa5-485c-9af2-bf59c30b22ea/images/ad7155b1-1431-44e4-8c60-1d1458f326f6/main.png"/>
      <media:content fileSize="24609406" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/ef68f4ec-5aa5-485c-9af2-bf59c30b22ea/raw-data-origins-of-power-ep-5-the-triple-fence---20180530-v2.mp3"/>
      <content:encoded>
        <![CDATA[<p>In the post-Watergate era, two academics battle the NSA and establish the technology that protects our online information. Cryptography remains a fundamental tool, but can it save us from entering a post-privacy world? Guests: Michal Kosinski, Whit Diffie, Marty Hellman, and Henry Corrigan-Gibbs</p>]]>
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      <title>The Looking Glass</title>
      <pubDate>Thu, 24 May 2018 12:00:00 -0000</pubDate>
      <link>http://worldview.stanford.edu/raw-data/looking-glass</link>
      <description>
        <![CDATA[<p>The Valley comes of age as the center of innovation and personal computing. Doug Englebart delivers the Mother of All Demos. Steve Jobs makes a fateful visit to Xerox PARC. On The WELL, people learn what it means to socialize online. Guests: Leslie Berlin, John Markoff, and Howard Rheingold.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/3018fd97-6e24-454c-8dff-f13e10bd1f48/raw-data-origins-of-power-ep-4-the-looking-glass---20180521.mp3" type="audio/mpeg" length="28768913"/>
      <itunes:subtitle>The Valley comes of age as the center of innovation and personal computing. Doug Englebart delivers the Mother of All Demos. Steve Jobs makes a fateful visit to Xerox PARC. On The WELL, people learn what it means to socialize online. Guests: Leslie Berlin, John Markoff, and Howard Rheingold. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>4</itunes:episode>
      <itunes:duration>39:39</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[The Valley comes of age as the center of innovation and personal computing. Doug Englebart delivers the Mother of All Demos. Steve Jobs makes a fateful visit to Xerox PARC. On The WELL, people learn what it means to socialize online. Guests: Leslie Berlin, John Markoff, and Howard Rheingold.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/3018fd97-6e24-454c-8dff-f13e10bd1f48/images/015a0658-4d0c-4ea7-b113-489992602633/main.png"/>
      <media:content fileSize="28768913" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/3018fd97-6e24-454c-8dff-f13e10bd1f48/raw-data-origins-of-power-ep-4-the-looking-glass---20180521.mp3"/>
      <content:encoded>
        <![CDATA[<p>The Valley comes of age as the center of innovation and personal computing. Doug Englebart delivers the Mother of All Demos. Steve Jobs makes a fateful visit to Xerox PARC. On The WELL, people learn what it means to socialize online. Guests: Leslie Berlin, John Markoff, and Howard Rheingold.</p>]]>
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      <title>Drop City</title>
      <pubDate>Thu, 17 May 2018 12:00:00 -0000</pubDate>
      <link>http://worldview.stanford.edu/drop-city</link>
      <description>
        <![CDATA[<p>Inspired by cybernetics and LSD, Stewart Brand creates the Whole Earth Catalog as a how-to manual for the commune movement. The catalog articulates a philosophy of tech idealism and individual empowerment. Guests: Fred Turner, John Markoff, and Kevin Kelly.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/97d86e9d-425e-405f-a1bc-72639a993294/raw-data-origins-of-power-ep3-drop-city---20180507.mp3" type="audio/mpeg" length="26768083"/>
      <itunes:subtitle>Inspired by cybernetics and LSD, Stewart Brand creates the Whole Earth Catalog as a how-to manual for the commune movement. The catalog articulates a philosophy of tech idealism and individual empowerment. Guests: Fred Turner, John Markoff, and Kevin Kelly. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>3</itunes:episode>
      <itunes:duration>36:53</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Inspired by cybernetics and LSD, Stewart Brand creates the Whole Earth Catalog as a how-to manual for the commune movement. The catalog articulates a philosophy of tech idealism and individual empowerment. Guests: Fred Turner, John Markoff, and Kevin Kelly.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/97d86e9d-425e-405f-a1bc-72639a993294/images/584f1752-f23e-414c-b08f-a64dbc4673db/main.png"/>
      <media:content fileSize="26768083" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/97d86e9d-425e-405f-a1bc-72639a993294/raw-data-origins-of-power-ep3-drop-city---20180507.mp3"/>
      <content:encoded>
        <![CDATA[<p>Inspired by cybernetics and LSD, Stewart Brand creates the Whole Earth Catalog as a how-to manual for the commune movement. The catalog articulates a philosophy of tech idealism and individual empowerment. Guests: Fred Turner, John Markoff, and Kevin Kelly.</p>]]>
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      <title>Valley of Heart's Delight</title>
      <pubDate>Thu, 10 May 2018 12:00:00 -0000</pubDate>
      <link>http://worldview.stanford.edu/raw-data/valley-hearts-delight</link>
      <description>
        <![CDATA[<p>Before tech, there were orchards in the “Valley of Heart’s Delight.” Federal funding for Cold War research changes everything, and the semiconductor industry brings silicon to the Valley. The Traitorous Eight create Fairchild Semiconductor. And the weather here is “perfect.” Guests: Daniel Swain, Steve Blank, Margaret O’Mara, Leslie Berlin.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/b552f08e-b50d-4f09-9ebc-03b9c75beca5/raw-data-origins-of-power-ep-2-valley-of-hearts-delight---20180507.mp3" type="audio/mpeg" length="22507079"/>
      <itunes:subtitle>Valley of Heart's Delight</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>2</itunes:episode>
      <itunes:duration>30:58</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Before tech, there were orchards in the “Valley of Heart’s Delight.” Federal funding for Cold War research changes everything, and the semiconductor industry brings silicon to the Valley. The Traitorous Eight create Fairchild Semiconductor. And the weather here is “perfect.” Guests: Daniel Swain, Steve Blank, Margaret O’Mara, Leslie Berlin.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/b552f08e-b50d-4f09-9ebc-03b9c75beca5/images/9ca2bdd9-87bf-4b9f-abfc-a93d6282e4f9/main.png"/>
      <media:content fileSize="22507079" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/b552f08e-b50d-4f09-9ebc-03b9c75beca5/raw-data-origins-of-power-ep-2-valley-of-hearts-delight---20180507.mp3"/>
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        <![CDATA[<p>Before tech, there were orchards in the “Valley of Heart’s Delight.” Federal funding for Cold War research changes everything, and the semiconductor industry brings silicon to the Valley. The Traitorous Eight create Fairchild Semiconductor. And the weather here is “perfect.” Guests: Daniel Swain, Steve Blank, Margaret O’Mara, Leslie Berlin.</p>]]>
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      <title>Monument to a Dead Child</title>
      <pubDate>Thu, 03 May 2018 12:00:00 -0000</pubDate>
      <link>http://worldview.stanford.edu/raw-data/monument-dead-child</link>
      <description>
        <![CDATA[<p>The seeds of Silicon Valley were sown long ago. The Gold Rush, the railroad barons, the founding of Stanford University, and myths of the American West still echo today.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/c2dd0522-cfd8-4e13-a313-1e532be51a61/raw-data-origins-of-power-ep1-monument-to-a-dead-child---20180501.mp3" type="audio/mpeg" length="26834727"/>
      <itunes:subtitle>The seeds of Silicon Valley were sown long ago. The Gold Rush, the railroad barons, the founding of Stanford University, and myths of the American West still echo today. </itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>1</itunes:episode>
      <itunes:duration>37:16</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[The seeds of Silicon Valley were sown long ago. The Gold Rush, the railroad barons, the founding of Stanford University, and myths of the American West still echo today.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/c2dd0522-cfd8-4e13-a313-1e532be51a61/images/29b35326-a3c7-4ec0-8424-6cab7a413a7e/main.png"/>
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      <content:encoded>
        <![CDATA[<p>The seeds of Silicon Valley were sown long ago. The Gold Rush, the railroad barons, the founding of Stanford University, and myths of the American West still echo today.</p>]]>
      </content:encoded>
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      <title>Prelude</title>
      <pubDate>Thu, 26 Apr 2018 12:00:00 -0000</pubDate>
      <link>http://worldview.stanford.edu/raw-data/prelude</link>
      <description>
        <![CDATA[<p>Introducing the series. Silicon Valley’s power: how did we get here?</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/1ab95659-b939-4689-9f29-2eba0e9eb3db/20180216-ep00prelude-polished-jwr.mp3" type="audio/mpeg" length="4447652"/>
      <itunes:title>Prelude</itunes:title>
      <itunes:subtitle>Introducing the series. Silicon Valley’s power: how did we get here?</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:duration>06:10</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Introducing the series. Silicon Valley’s power: how did we get here?]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/1ab95659-b939-4689-9f29-2eba0e9eb3db/images/a8cf93da-bfa6-419f-8a9f-9a7ade148f76/main.png"/>
      <media:content fileSize="4447652" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/1ab95659-b939-4689-9f29-2eba0e9eb3db/20180216-ep00prelude-polished-jwr.mp3"/>
      <content:encoded>
        <![CDATA[<p>Introducing the series. Silicon Valley’s power: how did we get here?</p>]]>
      </content:encoded>
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    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/330354972</guid>
      <title>Season Finale: The Legal Codes</title>
      <pubDate>Tue, 27 Jun 2017 00:00:00 -0000</pubDate>
      <link>http://worldview.stanford.edu/raw-data/legal-codes-season-finale</link>
      <description>
        <![CDATA[<p>How are algorithms and data science making their way into the American criminal justice system? The U.S. has the highest incarceration rate of any country in the world, and it’s clear from the statistics that minorities – most notably, black Americans – are locked up at disproportionate rates. So there are good reasons to take a close look at how new technologies are creeping into police departments and courts. Perhaps we can "code" for more equality and fairness by taking some decision making power away from humans and giving it to algorithms...but given this country’s inescapable history of discrimination, do we run the risk of ossifying a system that some describe as “the new Jim Crow?" Thank you so much for listening to this season of Raw Data. This episode is our season finale! We’ll be back in a few months. Please get in touch with feedback and episode ideas anytime at <a href="mailto:rawdatapodcast@gmail.com" rel="nofollow" target="_blank">rawdatapodcast@gmail.com</a>. Peace – Leslie &amp; Mike</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/6c4e04c8-7ca5-46b0-a35c-0892ac0fadf7/330354972-rawdatapodcast-season-finale-the-legal-codes.mp3" type="audio/mpeg" length="23280251"/>
      <itunes:subtitle>How are algorithms and data science making their …</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>8</itunes:episode>
      <itunes:duration>32:19</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[How are algorithms and data science making their way into the American criminal justice system? The U.S. has the highest incarceration rate of any country in the world, and it’s clear from the statistics that minorities – most notably, black Americans – are locked up at disproportionate rates. So there are good reasons to take a close look at how new technologies are creeping into police departments and courts. Perhaps we can "code" for more equality and fairness by taking some decision making power away from humans and giving it to algorithms...but given this country’s inescapable history of discrimination, do we run the risk of ossifying a system that some describe as “the new Jim Crow?" Thank you so much for listening to this season of Raw Data. This episode is our season finale! We’ll be back in a few months. Please get in touch with feedback and episode ideas anytime at <a href="mailto:rawdatapodcast@gmail.com" target="_blank">rawdatapodcast@gmail.com</a>. Peace – Leslie &amp; Mike]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/6c4e04c8-7ca5-46b0-a35c-0892ac0fadf7/images/21c52c89-64bf-40c8-9dc9-24cf0c67bc67/main.jpg"/>
      <media:content fileSize="23280251" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/6c4e04c8-7ca5-46b0-a35c-0892ac0fadf7/330354972-rawdatapodcast-season-finale-the-legal-codes.mp3"/>
      <content:encoded>
        <![CDATA[<p>How are algorithms and data science making their way into the American criminal justice system? The U.S. has the highest incarceration rate of any country in the world, and it’s clear from the statistics that minorities – most notably, black Americans – are locked up at disproportionate rates. So there are good reasons to take a close look at how new technologies are creeping into police departments and courts. Perhaps we can "code" for more equality and fairness by taking some decision making power away from humans and giving it to algorithms...but given this country’s inescapable history of discrimination, do we run the risk of ossifying a system that some describe as “the new Jim Crow?" Thank you so much for listening to this season of Raw Data. This episode is our season finale! We’ll be back in a few months. Please get in touch with feedback and episode ideas anytime at <a href="mailto:rawdatapodcast@gmail.com" rel="nofollow" target="_blank">rawdatapodcast@gmail.com</a>. Peace – Leslie &amp; Mike</p>]]>
      </content:encoded>
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    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/323296275</guid>
      <title>Meddling</title>
      <pubDate>Fri, 19 May 2017 00:14:07 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/meddling</link>
      <description>
        <![CDATA[<p>There are A LOT of unanswered questions right now about Russia’s role in the 2016 election. Whether it’s actually hacking into the DNC servers or more subtly spreading misinformation online, there’s widespread meddling afoot. Online information was weaponized in a targeted way, and this is new. In today’s episode, we think critically about what cybersecurity means and how Russia’s recent history brought us to this moment.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/cda6313e-9022-4ec0-b214-17f587834bee/323296275-rawdatapodcast-meddling.mp3" type="audio/mpeg" length="21975905"/>
      <itunes:subtitle>There are A LOT of unanswered questions right now…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>7</itunes:episode>
      <itunes:duration>30:31</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[There are A LOT of unanswered questions right now about Russia’s role in the 2016 election. Whether it’s actually hacking into the DNC servers or more subtly spreading misinformation online, there’s widespread meddling afoot. Online information was weaponized in a targeted way, and this is new. In today’s episode, we think critically about what cybersecurity means and how Russia’s recent history brought us to this moment.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/cda6313e-9022-4ec0-b214-17f587834bee/images/97b99908-35c9-4523-9803-9bcb0d962d3e/main.jpg"/>
      <media:content fileSize="21975905" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/cda6313e-9022-4ec0-b214-17f587834bee/323296275-rawdatapodcast-meddling.mp3"/>
      <content:encoded>
        <![CDATA[<p>There are A LOT of unanswered questions right now about Russia’s role in the 2016 election. Whether it’s actually hacking into the DNC servers or more subtly spreading misinformation online, there’s widespread meddling afoot. Online information was weaponized in a targeted way, and this is new. In today’s episode, we think critically about what cybersecurity means and how Russia’s recent history brought us to this moment.</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/315926119</guid>
      <title>Newer Money</title>
      <pubDate>Sun, 02 Apr 2017 00:00:00 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/newer-money</link>
      <description>
        <![CDATA[<p>It's been a minute since we've checked in on the world's favorite cryptocurrency – Bitcoin! And man oh man is there a lot of upheaval in Bitcoin-land. The price is soaring, the SEC is debating, and other crypto-coins are on the move. Will Bitcoin and other blockchains pave the way for a new financial system, a global computer, a new and better “Internet of value,” or all of the above? Hard to know what happens next, but keep an eye out. Bitcoin is lurking...</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/bd839b02-04ab-4278-bc5d-2c3c4430bcb4/315926119-rawdatapodcast-newer-money.mp3" type="audio/mpeg" length="23216908"/>
      <itunes:subtitle>It's been a minute since we've checked in on the …</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>6</itunes:episode>
      <itunes:duration>32:14</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[It's been a minute since we've checked in on the world's favorite cryptocurrency – Bitcoin! And man oh man is there a lot of upheaval in Bitcoin-land. The price is soaring, the SEC is debating, and other crypto-coins are on the move. Will Bitcoin and other blockchains pave the way for a new financial system, a global computer, a new and better “Internet of value,” or all of the above? Hard to know what happens next, but keep an eye out. Bitcoin is lurking...]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/bd839b02-04ab-4278-bc5d-2c3c4430bcb4/images/1af98971-3b50-42c4-950a-9d79bfe94c23/main.jpg"/>
      <media:content fileSize="23216908" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/bd839b02-04ab-4278-bc5d-2c3c4430bcb4/315926119-rawdatapodcast-newer-money.mp3"/>
      <content:encoded>
        <![CDATA[<p>It's been a minute since we've checked in on the world's favorite cryptocurrency – Bitcoin! And man oh man is there a lot of upheaval in Bitcoin-land. The price is soaring, the SEC is debating, and other crypto-coins are on the move. Will Bitcoin and other blockchains pave the way for a new financial system, a global computer, a new and better “Internet of value,” or all of the above? Hard to know what happens next, but keep an eye out. Bitcoin is lurking...</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/309391339</guid>
      <title>Propaganda Armies</title>
      <pubDate>Fri, 24 Feb 2017 20:22:09 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/propaganda-armies</link>
      <description>
        <![CDATA[<p>Let’s face it – there’s a lot of bulls**t flying around on the Internet. But where is it all coming from? This week, we tackle fake news, propaganda, and misinformation from a few different angles. We talk to BuzzFeed’s Craig Silverman, who was one of the first reporters to break the story about a cottage industry of fake news run out of Macedonia. Then we meet Stanford Communication Professor Jennifer Pan, who is pioneering new ways of probing the censorship and propaganda machine in China. Throughout the episode, Jeff Hancock, a Stanford expert on trust and technology, helps us understand how all of us are being shaped by the new information economy. Craig Silverman's BuzzFeed article: <a href="http://bzfd.it/2lisq7J" rel="nofollow" target="_blank">http://bzfd.it/2lisq7J</a> Jennifer Pan's website: <a href="http://jenpan.com/" rel="nofollow" target="_blank">http://jenpan.com/</a> Jeff Hancock's website: <a href="http://jeff-hancock.com/" rel="nofollow" target="_blank">http://jeff-hancock.com/</a> Learn more about Worldview Stanford's Science of Decision Making course: <a href="http://stanford.io/2mfYxJE" rel="nofollow" target="_blank">http://stanford.io/2mfYxJE</a></p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/3f5e7c8d-53b8-4086-a774-ea55782195ce/309391339-rawdatapodcast-propaganda-armies.mp3" type="audio/mpeg" length="25177352"/>
      <itunes:subtitle>Let’s face it – there’s a lot of bulls**t flying …</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>5</itunes:episode>
      <itunes:duration>34:58</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Let’s face it – there’s a lot of bulls**t flying around on the Internet. But where is it all coming from? This week, we tackle fake news, propaganda, and misinformation from a few different angles. We talk to BuzzFeed’s Craig Silverman, who was one of the first reporters to break the story about a cottage industry of fake news run out of Macedonia. Then we meet Stanford Communication Professor Jennifer Pan, who is pioneering new ways of probing the censorship and propaganda machine in China. Throughout the episode, Jeff Hancock, a Stanford expert on trust and technology, helps us understand how all of us are being shaped by the new information economy. Craig Silverman's BuzzFeed article: <a href="http://bzfd.it/2lisq7J" target="_blank">http://bzfd.it/2lisq7J</a> Jennifer Pan's website: <a href="http://jenpan.com/" target="_blank">http://jenpan.com/</a> Jeff Hancock's website: <a href="http://jeff-hancock.com/" target="_blank">http://jeff-hancock.com/</a> Learn more about Worldview Stanford's Science of Decision Making course: <a href="http://stanford.io/2mfYxJE" target="_blank">http://stanford.io/2mfYxJE</a>]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/3f5e7c8d-53b8-4086-a774-ea55782195ce/images/626aa87c-89d9-48a4-87e2-d9d7b72c14cf/main.jpg"/>
      <media:content fileSize="25177352" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/3f5e7c8d-53b8-4086-a774-ea55782195ce/309391339-rawdatapodcast-propaganda-armies.mp3"/>
      <content:encoded>
        <![CDATA[<p>Let’s face it – there’s a lot of bulls**t flying around on the Internet. But where is it all coming from? This week, we tackle fake news, propaganda, and misinformation from a few different angles. We talk to BuzzFeed’s Craig Silverman, who was one of the first reporters to break the story about a cottage industry of fake news run out of Macedonia. Then we meet Stanford Communication Professor Jennifer Pan, who is pioneering new ways of probing the censorship and propaganda machine in China. Throughout the episode, Jeff Hancock, a Stanford expert on trust and technology, helps us understand how all of us are being shaped by the new information economy. Craig Silverman's BuzzFeed article: <a href="http://bzfd.it/2lisq7J" rel="nofollow" target="_blank">http://bzfd.it/2lisq7J</a> Jennifer Pan's website: <a href="http://jenpan.com/" rel="nofollow" target="_blank">http://jenpan.com/</a> Jeff Hancock's website: <a href="http://jeff-hancock.com/" rel="nofollow" target="_blank">http://jeff-hancock.com/</a> Learn more about Worldview Stanford's Science of Decision Making course: <a href="http://stanford.io/2mfYxJE" rel="nofollow" target="_blank">http://stanford.io/2mfYxJE</a></p>]]>
      </content:encoded>
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    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/305319583</guid>
      <title>A New Day in Hollywood</title>
      <pubDate>Mon, 30 Jan 2017 22:42:35 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/a-new-day-in-hollywood</link>
      <description>
        <![CDATA[<p>There are massive changes underway in Hollywood – and a lot of the disruption is being driven by big data. In this week’s episode, we’re taking a deep dive into the ways companies like Netflix and Amazon are mounting a threat to the traditional studio powerhouses (think Disney, Sony, etc.) We meet Michael Smith, a professor at Carnegie Mellon who tells us about the “perfect storm” of tech forces hitting Hollywood. For more insight on how exactly Netflix is using customer data, we talk to their director of content science and algorithms, Todd Holloway. We take a peek into the inner workings of this new entertainment industry and how it’s creating the current golden age of binge-worthy entertainment.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/a5ae0742-0b14-4b9d-adab-96db100b4e79/305319583-rawdatapodcast-a-new-day-in-hollywood.mp3" type="audio/mpeg" length="19549348"/>
      <itunes:subtitle>There are massive changes underway in Hollywood –…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>4</itunes:episode>
      <itunes:duration>27:09</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[There are massive changes underway in Hollywood – and a lot of the disruption is being driven by big data. In this week’s episode, we’re taking a deep dive into the ways companies like Netflix and Amazon are mounting a threat to the traditional studio powerhouses (think Disney, Sony, etc.) We meet Michael Smith, a professor at Carnegie Mellon who tells us about the “perfect storm” of tech forces hitting Hollywood. For more insight on how exactly Netflix is using customer data, we talk to their director of content science and algorithms, Todd Holloway. We take a peek into the inner workings of this new entertainment industry and how it’s creating the current golden age of binge-worthy entertainment.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/a5ae0742-0b14-4b9d-adab-96db100b4e79/images/eb046a64-7b94-4d2e-b99f-ed55827c8857/main.jpg"/>
      <media:content fileSize="19549348" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/a5ae0742-0b14-4b9d-adab-96db100b4e79/305319583-rawdatapodcast-a-new-day-in-hollywood.mp3"/>
      <content:encoded>
        <![CDATA[<p>There are massive changes underway in Hollywood – and a lot of the disruption is being driven by big data. In this week’s episode, we’re taking a deep dive into the ways companies like Netflix and Amazon are mounting a threat to the traditional studio powerhouses (think Disney, Sony, etc.) We meet Michael Smith, a professor at Carnegie Mellon who tells us about the “perfect storm” of tech forces hitting Hollywood. For more insight on how exactly Netflix is using customer data, we talk to their director of content science and algorithms, Todd Holloway. We take a peek into the inner workings of this new entertainment industry and how it’s creating the current golden age of binge-worthy entertainment.</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/298788927</guid>
      <title>Attention is Money</title>
      <pubDate>Tue, 20 Dec 2016 10:40:27 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/attention-is-money</link>
      <description>
        <![CDATA[<p>On the Internet there’s a never-ending, epic battle to catch – and keep – your attention. We don't really think about it much, but attention is a precious and personal resource, and these days the name of the game is to monetize your attention through clicks and shares. Today on the show, we talk to Tim Wu, author of "The Attention Merchants." He explains how attention is the essential currency of the Internet, and that the stakes are not merely an ad-filled online experience, but in fact our very ability to preserve and independently determine our own mental spaces. We also chat with Byron Reeves, a Stanford professor whose research involves taking a screenshot of participants’ laptops every – five – seconds. This unprecedented view into where we go when we go online, and how we move around, will make you wonder how we ever get anything done.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/5e2a5628-0616-418d-b9be-0314beaf18f9/298788927-rawdatapodcast-attention-is-money.mp3" type="audio/mpeg" length="21999399"/>
      <itunes:subtitle>On the Internet there’s a never-ending, epic batt…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>3</itunes:episode>
      <itunes:duration>30:33</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[On the Internet there’s a never-ending, epic battle to catch – and keep – your attention. We don't really think about it much, but attention is a precious and personal resource, and these days the name of the game is to monetize your attention through clicks and shares. Today on the show, we talk to Tim Wu, author of "The Attention Merchants." He explains how attention is the essential currency of the Internet, and that the stakes are not merely an ad-filled online experience, but in fact our very ability to preserve and independently determine our own mental spaces. We also chat with Byron Reeves, a Stanford professor whose research involves taking a screenshot of participants’ laptops every – five – seconds. This unprecedented view into where we go when we go online, and how we move around, will make you wonder how we ever get anything done.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/5e2a5628-0616-418d-b9be-0314beaf18f9/images/439a3b31-f7c9-455d-a9c5-3d18dab964f5/main.jpg"/>
      <media:content fileSize="21999399" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/5e2a5628-0616-418d-b9be-0314beaf18f9/298788927-rawdatapodcast-attention-is-money.mp3"/>
      <content:encoded>
        <![CDATA[<p>On the Internet there’s a never-ending, epic battle to catch – and keep – your attention. We don't really think about it much, but attention is a precious and personal resource, and these days the name of the game is to monetize your attention through clicks and shares. Today on the show, we talk to Tim Wu, author of "The Attention Merchants." He explains how attention is the essential currency of the Internet, and that the stakes are not merely an ad-filled online experience, but in fact our very ability to preserve and independently determine our own mental spaces. We also chat with Byron Reeves, a Stanford professor whose research involves taking a screenshot of participants’ laptops every – five – seconds. This unprecedented view into where we go when we go online, and how we move around, will make you wonder how we ever get anything done.</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/297712677</guid>
      <title>Data Confidential</title>
      <pubDate>Tue, 13 Dec 2016 14:05:55 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/data-confidential</link>
      <description>
        <![CDATA[<p>It’s nearly impossible to know if you're having a truly private, unmonitored conversation today. Big data and online communications open the door for widespread surveillance. But even if you feel like you personally have nothing to hide, surveillance is about much more than individual privacy – it’s about the necessary conditions of a free and just society, and protecting a space to criticize the status quo and the powers that be. Today on the show, we hear three perspectives about how privacy is fundamental to free speech and freedom of the press, and how those foundations of democracy are being shaken and pushed by government surveillance programs.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/bf30f208-58a7-4f66-8d06-bead25f7c066/297712677-rawdatapodcast-data-confidential.mp3" type="audio/mpeg" length="17638751"/>
      <itunes:subtitle>It’s nearly impossible to know if you're having a…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>2</itunes:episode>
      <itunes:duration>24:29</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[It’s nearly impossible to know if you're having a truly private, unmonitored conversation today. Big data and online communications open the door for widespread surveillance. But even if you feel like you personally have nothing to hide, surveillance is about much more than individual privacy – it’s about the necessary conditions of a free and just society, and protecting a space to criticize the status quo and the powers that be. Today on the show, we hear three perspectives about how privacy is fundamental to free speech and freedom of the press, and how those foundations of democracy are being shaken and pushed by government surveillance programs.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/bf30f208-58a7-4f66-8d06-bead25f7c066/images/8ea88f28-e49d-4a30-aa02-f521deb60858/main.jpg"/>
      <media:content fileSize="17638751" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/bf30f208-58a7-4f66-8d06-bead25f7c066/297712677-rawdatapodcast-data-confidential.mp3"/>
      <content:encoded>
        <![CDATA[<p>It’s nearly impossible to know if you're having a truly private, unmonitored conversation today. Big data and online communications open the door for widespread surveillance. But even if you feel like you personally have nothing to hide, surveillance is about much more than individual privacy – it’s about the necessary conditions of a free and just society, and protecting a space to criticize the status quo and the powers that be. Today on the show, we hear three perspectives about how privacy is fundamental to free speech and freedom of the press, and how those foundations of democracy are being shaken and pushed by government surveillance programs.</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/295314824</guid>
      <title>Gold or Pyrite?</title>
      <pubDate>Tue, 29 Nov 2016 15:16:28 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/gold-or-pyrite</link>
      <description>
        <![CDATA[<p>Welcome to Season 2 of Raw Data! There's been a lot of buzz about big data in the past few years. The success of companies like Google, Facebook, and Amazon has helped fuel the growth of second generation data companies seeking insights in data like miners hoping to strike gold. But is all this data we’re collecting really that valuable? What will our daily lives be like if the big data promise is fulfilled – or for that matter, if it fails? Music: “From the Outset,” (Raw Data theme) Nick Carlozzi “Gentle Whispering (radio edit)”, Lee Rosevere “White Lotus,” Kevin MacLeod</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/8ab3e9be-3e8a-423f-8c5a-c932bcb20153/295314824-rawdatapodcast-gold-or-pyrite.mp3" type="audio/mpeg" length="17392963"/>
      <itunes:subtitle>Welcome to Season 2 of Raw Data! There's been a l…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>1</itunes:episode>
      <itunes:duration>24:09</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Welcome to Season 2 of Raw Data! There's been a lot of buzz about big data in the past few years. The success of companies like Google, Facebook, and Amazon has helped fuel the growth of second generation data companies seeking insights in data like miners hoping to strike gold. But is all this data we’re collecting really that valuable? What will our daily lives be like if the big data promise is fulfilled – or for that matter, if it fails? Music: “From the Outset,” (Raw Data theme) Nick Carlozzi “Gentle Whispering (radio edit)”, Lee Rosevere “White Lotus,” Kevin MacLeod]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/8ab3e9be-3e8a-423f-8c5a-c932bcb20153/images/e78d671a-fdb9-4aa0-88ef-9d986938cc99/main.jpg"/>
      <media:content fileSize="17392963" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/8ab3e9be-3e8a-423f-8c5a-c932bcb20153/295314824-rawdatapodcast-gold-or-pyrite.mp3"/>
      <content:encoded>
        <![CDATA[<p>Welcome to Season 2 of Raw Data! There's been a lot of buzz about big data in the past few years. The success of companies like Google, Facebook, and Amazon has helped fuel the growth of second generation data companies seeking insights in data like miners hoping to strike gold. But is all this data we’re collecting really that valuable? What will our daily lives be like if the big data promise is fulfilled – or for that matter, if it fails? Music: “From the Outset,” (Raw Data theme) Nick Carlozzi “Gentle Whispering (radio edit)”, Lee Rosevere “White Lotus,” Kevin MacLeod</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/265755899</guid>
      <title>Upon Reflection: Season 1</title>
      <pubDate>Tue, 24 May 2016 22:11:53 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/upon-reflection-season-1</link>
      <description>
        <![CDATA[<p>We’ve reached the end of Season 1 of Raw Data! (Don’t worry, there’s a second season coming soon.) In this episode, producers Mike and Leslie break from the usual format, and sit down in studio for a conversation with Worldview Director Brie Linkenhoker. They reflect on the big ideas, issues, and questions that cut across Season 1, especially as it relates to how our everyday decisions – both big and small – are increasingly being shaped by data and algorithms.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/458212f2-ab65-436f-801b-4abdf6ac822f/265755899-rawdatapodcast-upon-reflection-season-1.mp3" type="audio/mpeg" length="20831417"/>
      <itunes:subtitle>We’ve reached the end of Season 1 of Raw Data! (D…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>12</itunes:episode>
      <itunes:duration>28:55</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[We’ve reached the end of Season 1 of Raw Data! (Don’t worry, there’s a second season coming soon.) In this episode, producers Mike and Leslie break from the usual format, and sit down in studio for a conversation with Worldview Director Brie Linkenhoker. They reflect on the big ideas, issues, and questions that cut across Season 1, especially as it relates to how our everyday decisions – both big and small – are increasingly being shaped by data and algorithms.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/458212f2-ab65-436f-801b-4abdf6ac822f/images/ff88476c-518d-4dcd-8fb8-d80af44861a2/main.jpg"/>
      <media:content fileSize="20831417" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/458212f2-ab65-436f-801b-4abdf6ac822f/265755899-rawdatapodcast-upon-reflection-season-1.mp3"/>
      <content:encoded>
        <![CDATA[<p>We’ve reached the end of Season 1 of Raw Data! (Don’t worry, there’s a second season coming soon.) In this episode, producers Mike and Leslie break from the usual format, and sit down in studio for a conversation with Worldview Director Brie Linkenhoker. They reflect on the big ideas, issues, and questions that cut across Season 1, especially as it relates to how our everyday decisions – both big and small – are increasingly being shaped by data and algorithms.</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/257450537</guid>
      <title>Episode 11: So... What's On Your Mind?</title>
      <pubDate>Tue, 05 Apr 2016 16:04:58 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/episode-11-so-whats-on-your-mind</link>
      <description>
        <![CDATA[<p>Language is a window into our minds. So with all the digital text trails we're creating these days, what can we learn about our inner psychology, mental health, and well-being? In this episode: how Twitter language correlates with heart disease, what insights can be captured in crisis counseling text conversations, and a glimpse of the future of therapy.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/7435b705-7890-4017-bb99-fac001b4feb9/257450537-rawdatapodcast-episode-11-so-whats-on-your-mind.mp3" type="audio/mpeg" length="20551485"/>
      <itunes:subtitle>Language is a window into our minds. So with all …</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>11</itunes:episode>
      <itunes:duration>28:32</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Language is a window into our minds. So with all the digital text trails we're creating these days, what can we learn about our inner psychology, mental health, and well-being? In this episode: how Twitter language correlates with heart disease, what insights can be captured in crisis counseling text conversations, and a glimpse of the future of therapy.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/7435b705-7890-4017-bb99-fac001b4feb9/images/e6d365b3-c9d5-4e31-b4ef-4523f3b8b949/main.jpg"/>
      <media:content fileSize="20551485" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/7435b705-7890-4017-bb99-fac001b4feb9/257450537-rawdatapodcast-episode-11-so-whats-on-your-mind.mp3"/>
      <content:encoded>
        <![CDATA[<p>Language is a window into our minds. So with all the digital text trails we're creating these days, what can we learn about our inner psychology, mental health, and well-being? In this episode: how Twitter language correlates with heart disease, what insights can be captured in crisis counseling text conversations, and a glimpse of the future of therapy.</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/253924498</guid>
      <title>Episode 10: Love</title>
      <pubDate>Mon, 21 Mar 2016 23:09:02 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/episode-10-love</link>
      <description>
        <![CDATA[<p>LOVE!! Why is it so hard to find?! The seemingly endless options of online dating should make it easy, right? Is there data that can predict lasting love? Argh!! Maybe we just haven’t digitized the right information yet? Who knows. So many questions.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/a5e9eedf-ac98-4310-a0b8-d1a6dc1aae6e/253924498-rawdatapodcast-episode-10-love.mp3" type="audio/mpeg" length="23177405"/>
      <itunes:subtitle>LOVE!! Why is it so hard to find?! The seemingly …</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>10</itunes:episode>
      <itunes:duration>32:11</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[LOVE!! Why is it so hard to find?! The seemingly endless options of online dating should make it easy, right? Is there data that can predict lasting love? Argh!! Maybe we just haven’t digitized the right information yet? Who knows. So many questions.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/a5e9eedf-ac98-4310-a0b8-d1a6dc1aae6e/images/ddf51027-cb7c-4231-88c9-2141b6834e1c/main.jpg"/>
      <media:content fileSize="23177405" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/a5e9eedf-ac98-4310-a0b8-d1a6dc1aae6e/253924498-rawdatapodcast-episode-10-love.mp3"/>
      <content:encoded>
        <![CDATA[<p>LOVE!! Why is it so hard to find?! The seemingly endless options of online dating should make it easy, right? Is there data that can predict lasting love? Argh!! Maybe we just haven’t digitized the right information yet? Who knows. So many questions.</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/249925990</guid>
      <title>Episode 9: The Digital Afterlife</title>
      <pubDate>Thu, 03 Mar 2016 01:11:21 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/episode-9-the-digital-afterlife</link>
      <description>
        <![CDATA[<p>What happens to our data when we die? Digital estate planning is becoming an increasingly important topic, though many of our laws have not yet caught up. These days, we leave behind entire histories of our lives online, which can hold both monetary and sentimental value for our family and friends. Through the lens of death, we can also begin to appreciate the value of our digital histories for civil society more broadly.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/22417294-4b1c-4c07-a6db-bdfa31c0f7fe/249925990-rawdatapodcast-episode-9-the-digital-afterlife.mp3" type="audio/mpeg" length="19699164"/>
      <itunes:subtitle>What happens to our data when we die? Digital est…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>9</itunes:episode>
      <itunes:duration>27:21</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[What happens to our data when we die? Digital estate planning is becoming an increasingly important topic, though many of our laws have not yet caught up. These days, we leave behind entire histories of our lives online, which can hold both monetary and sentimental value for our family and friends. Through the lens of death, we can also begin to appreciate the value of our digital histories for civil society more broadly.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/22417294-4b1c-4c07-a6db-bdfa31c0f7fe/images/343437be-73a7-4973-a473-78600b5aaa5e/main.jpg"/>
      <media:content fileSize="19699164" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/22417294-4b1c-4c07-a6db-bdfa31c0f7fe/249925990-rawdatapodcast-episode-9-the-digital-afterlife.mp3"/>
      <content:encoded>
        <![CDATA[<p>What happens to our data when we die? Digital estate planning is becoming an increasingly important topic, though many of our laws have not yet caught up. These days, we leave behind entire histories of our lives online, which can hold both monetary and sentimental value for our family and friends. Through the lens of death, we can also begin to appreciate the value of our digital histories for civil society more broadly.</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/246574519</guid>
      <title>Episode 8: All the News That's Fit to Feed</title>
      <pubDate>Thu, 11 Feb 2016 19:41:06 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/episode-8-all-the-news-thats-fit-to-feed</link>
      <description>
        <![CDATA[<p>How do you get your news – and how do you think your news gets to you? The pathway of information flow involves layers of decisions that in many ways are opaque. So are we achieving the universal access to all knowledge that the early Internet idealists had hoped for, or are we increasingly seeing the world through filters that we're not even aware of?</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/50fad04e-6cee-4f0f-9729-3b1041bafa27/246574519-rawdatapodcast-episode-8-all-the-news-thats-fit-to-feed.mp3" type="audio/mpeg" length="25774818"/>
      <itunes:subtitle>How do you get your news – and how do you think y…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>8</itunes:episode>
      <itunes:duration>35:47</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[How do you get your news – and how do you think your news gets to you? The pathway of information flow involves layers of decisions that in many ways are opaque. So are we achieving the universal access to all knowledge that the early Internet idealists had hoped for, or are we increasingly seeing the world through filters that we're not even aware of?]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/50fad04e-6cee-4f0f-9729-3b1041bafa27/images/b350b266-4c3b-4eef-b85e-d9a86b9d6d05/main.jpg"/>
      <media:content fileSize="25774818" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/50fad04e-6cee-4f0f-9729-3b1041bafa27/246574519-rawdatapodcast-episode-8-all-the-news-thats-fit-to-feed.mp3"/>
      <content:encoded>
        <![CDATA[<p>How do you get your news – and how do you think your news gets to you? The pathway of information flow involves layers of decisions that in many ways are opaque. So are we achieving the universal access to all knowledge that the early Internet idealists had hoped for, or are we increasingly seeing the world through filters that we're not even aware of?</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/244132110</guid>
      <title>Episode 7: The Big Data of Nature</title>
      <pubDate>Wed, 27 Jan 2016 23:10:45 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/the-big-data-of-nature</link>
      <description>
        <![CDATA[<p>As we hear over and over again, environmental issues are mounting, and the stakes are huge. So how might big data be used to tackle the issues of sustainability, climate change, habitat loss, and species extinction? And even more than that, can it offer us new ways of engaging in a relationship with nature?</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/c16841d8-05e2-4b6a-a470-9652fdbdd856/244132110-rawdatapodcast-the-big-data-of-nature.mp3" type="audio/mpeg" length="25193654"/>
      <itunes:subtitle>As we hear over and over again, environmental iss…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>7</itunes:episode>
      <itunes:duration>34:59</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[As we hear over and over again, environmental issues are mounting, and the stakes are huge. So how might big data be used to tackle the issues of sustainability, climate change, habitat loss, and species extinction? And even more than that, can it offer us new ways of engaging in a relationship with nature?]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/c16841d8-05e2-4b6a-a470-9652fdbdd856/images/f7617c5d-044e-442c-a8a3-73a1544b80fe/main.jpg"/>
      <media:content fileSize="25193654" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/c16841d8-05e2-4b6a-a470-9652fdbdd856/244132110-rawdatapodcast-the-big-data-of-nature.mp3"/>
      <content:encoded>
        <![CDATA[<p>As we hear over and over again, environmental issues are mounting, and the stakes are huge. So how might big data be used to tackle the issues of sustainability, climate change, habitat loss, and species extinction? And even more than that, can it offer us new ways of engaging in a relationship with nature?</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/238510915</guid>
      <title>Episode 6: Under the Influence</title>
      <pubDate>Mon, 21 Dec 2015 14:11:54 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/episode-6-under-the-influence</link>
      <description>
        <![CDATA[<p>Are we addicted to the Internet? Is it even appropriate to use the language of addiction about smartphones and other digital devices? After all, tech companies intentionally appeal to human nature – our desire to connect with others, our boredom, our love of surprise, our loneliness – to hook us onto their products. So how much responsibility do they hold in all this?</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/f391f9d5-c613-4763-bc68-57c3f1dcdf9f/238510915-rawdatapodcast-episode-6-under-the-influence.mp3" type="audio/mpeg" length="17647506"/>
      <itunes:subtitle>Are we addicted to the Internet? Is it even appro…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>6</itunes:episode>
      <itunes:duration>24:30</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Are we addicted to the Internet? Is it even appropriate to use the language of addiction about smartphones and other digital devices? After all, tech companies intentionally appeal to human nature – our desire to connect with others, our boredom, our love of surprise, our loneliness – to hook us onto their products. So how much responsibility do they hold in all this?]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/f391f9d5-c613-4763-bc68-57c3f1dcdf9f/images/d36488e5-1eea-41a4-80fa-4f8e55e23aea/main.jpg"/>
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      <content:encoded>
        <![CDATA[<p>Are we addicted to the Internet? Is it even appropriate to use the language of addiction about smartphones and other digital devices? After all, tech companies intentionally appeal to human nature – our desire to connect with others, our boredom, our love of surprise, our loneliness – to hook us onto their products. So how much responsibility do they hold in all this?</p>]]>
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      <title>Episode 5: Life, Liberty, and the Pursuit of Data</title>
      <pubDate>Tue, 24 Nov 2015 00:00:00 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/episode-5-life-liberty-data</link>
      <description>
        <![CDATA[<p>Elections and political messaging are changing in the new media landscape. Campaigns are using big data to target voters with better precision, and tech companies are making decisions behind the scenes about how political information is being presented to us. What does all this mean for the future of democracy? This podcast is supported by Worldview Stanford and the Stanford Cyber Initiative.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/4c272f77-fb42-4540-ac02-7da6a0d2bca6/234601822-rawdatapodcast-episode-5-life-liberty-data.mp3" type="audio/mpeg" length="23194030"/>
      <itunes:subtitle>Elections and political messaging are changing in…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>5</itunes:episode>
      <itunes:duration>32:12</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Elections and political messaging are changing in the new media landscape. Campaigns are using big data to target voters with better precision, and tech companies are making decisions behind the scenes about how political information is being presented to us. What does all this mean for the future of democracy? This podcast is supported by Worldview Stanford and the Stanford Cyber Initiative.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/4c272f77-fb42-4540-ac02-7da6a0d2bca6/images/f9fcb47d-f04c-4bb4-82e6-6ed54d9c8579/main.jpg"/>
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      <content:encoded>
        <![CDATA[<p>Elections and political messaging are changing in the new media landscape. Campaigns are using big data to target voters with better precision, and tech companies are making decisions behind the scenes about how political information is being presented to us. What does all this mean for the future of democracy? This podcast is supported by Worldview Stanford and the Stanford Cyber Initiative.</p>]]>
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      <title>Episode 4: New Money</title>
      <pubDate>Tue, 03 Nov 2015 20:03:24 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/episode-4-new-money</link>
      <description>
        <![CDATA[<p>Cryptocurrencies could revolutionize money and finance. But even more than that, they symbolize how trust is changing as we increasingly rely on technology rather than traditional institutions - like banks and governments - to handle some of our most important problems. Right now, money has only been partially digitized, and it plods around the world at a snail's pace compared to how fast data moves. But all that could change with truly digital cryptocurrencies. This podcast is supported by Worldview Stanford and the Stanford Cyber Initiative.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/ff155252-cf5b-4098-9c34-ff7363009edb/231407762-rawdatapodcast-episode-4-new-money.mp3" type="audio/mpeg" length="18291675"/>
      <itunes:subtitle>Cryptocurrencies could revolutionize money and fi…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>4</itunes:episode>
      <itunes:duration>25:24</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Cryptocurrencies could revolutionize money and finance. But even more than that, they symbolize how trust is changing as we increasingly rely on technology rather than traditional institutions - like banks and governments - to handle some of our most important problems. Right now, money has only been partially digitized, and it plods around the world at a snail's pace compared to how fast data moves. But all that could change with truly digital cryptocurrencies. This podcast is supported by Worldview Stanford and the Stanford Cyber Initiative.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/ff155252-cf5b-4098-9c34-ff7363009edb/images/1675339f-efca-4cbc-8eaf-4178382887c8/main.jpg"/>
      <media:content fileSize="18291675" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/ff155252-cf5b-4098-9c34-ff7363009edb/231407762-rawdatapodcast-episode-4-new-money.mp3"/>
      <content:encoded>
        <![CDATA[<p>Cryptocurrencies could revolutionize money and finance. But even more than that, they symbolize how trust is changing as we increasingly rely on technology rather than traditional institutions - like banks and governments - to handle some of our most important problems. Right now, money has only been partially digitized, and it plods around the world at a snail's pace compared to how fast data moves. But all that could change with truly digital cryptocurrencies. This podcast is supported by Worldview Stanford and the Stanford Cyber Initiative.</p>]]>
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      <title>Episode 3: The Hippocratic Algorithm</title>
      <pubDate>Tue, 20 Oct 2015 00:00:00 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/episode-3-the-hippocratic-algorithm</link>
      <description>
        <![CDATA[<p>Big data is revolutionizing health and medicine, from genomics to wearable technologies to precision health. But is our medical care system prepared for algorithms that can diagnose us and make decisions about treatment? And even more than that, what will the doctor-patient relationship look like in the era of big data?</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/3c1fb94f-cec5-43a3-b562-1ee24f2e78f5/229371852-rawdatapodcast-episode-3-the-hippocratic-algorithm.mp3" type="audio/mpeg" length="19340872"/>
      <itunes:subtitle>Big data is revolutionizing health and medicine, …</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>3</itunes:episode>
      <itunes:duration>26:51</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Big data is revolutionizing health and medicine, from genomics to wearable technologies to precision health. But is our medical care system prepared for algorithms that can diagnose us and make decisions about treatment? And even more than that, what will the doctor-patient relationship look like in the era of big data?]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/3c1fb94f-cec5-43a3-b562-1ee24f2e78f5/images/bc025f04-990d-48ec-874a-1105c4667efb/main.jpg"/>
      <media:content fileSize="19340872" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/3c1fb94f-cec5-43a3-b562-1ee24f2e78f5/229371852-rawdatapodcast-episode-3-the-hippocratic-algorithm.mp3"/>
      <content:encoded>
        <![CDATA[<p>Big data is revolutionizing health and medicine, from genomics to wearable technologies to precision health. But is our medical care system prepared for algorithms that can diagnose us and make decisions about treatment? And even more than that, what will the doctor-patient relationship look like in the era of big data?</p>]]>
      </content:encoded>
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    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/227282873</guid>
      <title>Episode 2: Work in the Crowd</title>
      <pubDate>Tue, 06 Oct 2015 00:00:00 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/episode-2-work-in-the-crowd</link>
      <description>
        <![CDATA[<p>What is the future of work? Today, all of our careers are being transformed by big data, from how we find it, to how we collaborate with others, to how our professional reputations are shaped. We explore both the opportunities and risks of moving our work online. This podcast is supported by Worldview Stanford and the Stanford Cyber Initiative.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/1bfc4005-26d1-45b4-85ad-2fd68d81650e/227282873-rawdatapodcast-episode-2-work-in-the-crowd.mp3" type="audio/mpeg" length="16026248"/>
      <itunes:subtitle>What is the future of work? Today, all of our car…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>2</itunes:episode>
      <itunes:duration>22:15</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[What is the future of work? Today, all of our careers are being transformed by big data, from how we find it, to how we collaborate with others, to how our professional reputations are shaped. We explore both the opportunities and risks of moving our work online. This podcast is supported by Worldview Stanford and the Stanford Cyber Initiative.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/1bfc4005-26d1-45b4-85ad-2fd68d81650e/images/0e531ec9-1bf4-4487-8e38-9d9a3f98e7bc/main.jpg"/>
      <media:content fileSize="16026248" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/1bfc4005-26d1-45b4-85ad-2fd68d81650e/227282873-rawdatapodcast-episode-2-work-in-the-crowd.mp3"/>
      <content:encoded>
        <![CDATA[<p>What is the future of work? Today, all of our careers are being transformed by big data, from how we find it, to how we collaborate with others, to how our professional reputations are shaped. We explore both the opportunities and risks of moving our work online. This podcast is supported by Worldview Stanford and the Stanford Cyber Initiative.</p>]]>
      </content:encoded>
    </item>
    <item>
      <guid isPermaLink="false">tag:soundcloud,2010:tracks/224189935</guid>
      <title>Episode 1: Uploaded</title>
      <pubDate>Wed, 16 Sep 2015 00:00:00 -0000</pubDate>
      <link>https://soundcloud.com/rawdatapodcast/episode-1-uploaded</link>
      <description>
        <![CDATA[<p>Welcome to Raw Data! In this first episode, hosts Mike Osborne and Leslie Chang explore how normal, everyday digital footprints can reveal surprisingly intimate facts – like whether your parents are divorced, and whether you own a gun. This podcast is supported by Worldview Stanford and the Stanford Cyber Initiative.</p>]]>
      </description>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/061562b2-f29b-4c03-b544-0d42304fc0a5/224189935-rawdatapodcast-episode-1-uploaded.mp3" type="audio/mpeg" length="15880781"/>
      <itunes:subtitle>Welcome to Raw Data! In this first episode, hosts…</itunes:subtitle>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>1</itunes:episode>
      <itunes:duration>22:03</itunes:duration>
      <author>hello@rawdatapodcast.com (Stanford and PRX)</author>
      <itunes:author>Stanford and PRX</itunes:author>
      <itunes:summary>
        <![CDATA[Welcome to Raw Data! In this first episode, hosts Mike Osborne and Leslie Chang explore how normal, everyday digital footprints can reveal surprisingly intimate facts – like whether your parents are divorced, and whether you own a gun. This podcast is supported by Worldview Stanford and the Stanford Cyber Initiative.]]>
      </itunes:summary>
      <itunes:image href="https://f.prxu.org/190/061562b2-f29b-4c03-b544-0d42304fc0a5/images/e9fb6420-875c-464d-bcd1-a86f0816c950/main.jpg"/>
      <media:content fileSize="15880781" type="audio/mpeg" url="https://dts.podtrac.com/redirect.mp3/dovetail.prxu.org/_/190/061562b2-f29b-4c03-b544-0d42304fc0a5/224189935-rawdatapodcast-episode-1-uploaded.mp3"/>
      <content:encoded>
        <![CDATA[<p>Welcome to Raw Data! In this first episode, hosts Mike Osborne and Leslie Chang explore how normal, everyday digital footprints can reveal surprisingly intimate facts – like whether your parents are divorced, and whether you own a gun. This podcast is supported by Worldview Stanford and the Stanford Cyber Initiative.</p>]]>
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