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    <description>IARPA: Disbelief to Doubt explores the history and accomplishments of the Intelligence Advanced Research Projects Activity (IARPA) through the lens of some of the most impactful current and past programs and the people who worked on them in IARPA's technical offices of Collection and Analysis. In each episode, Program Managers (PMs), technical staff, and research performers will offer candid insights into their personal journeys, what led them to IARPA, and how the unique mission of the organization enables them to be force multipliers as they tackle some of the most difficult cross-community scientific challenges. </description>
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    <podcast:trailer pubdate="Fri, 26 Apr 2024 09:07:00 -0400" url="https://media.transistor.fm/20f732c2/cca5cd24.mp3" length="1245508" type="audio/mpeg">Leap of Faith (Teaser)</podcast:trailer>
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    <pubDate>Fri, 10 Apr 2026 11:33:40 -0400</pubDate>
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      <title>IARPA: Disbelief to Doubt</title>
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    <itunes:summary>IARPA: Disbelief to Doubt explores the history and accomplishments of the Intelligence Advanced Research Projects Activity (IARPA) through the lens of some of the most impactful current and past programs and the people who worked on them in IARPA's technical offices of Collection and Analysis. In each episode, Program Managers (PMs), technical staff, and research performers will offer candid insights into their personal journeys, what led them to IARPA, and how the unique mission of the organization enables them to be force multipliers as they tackle some of the most difficult cross-community scientific challenges. </itunes:summary>
    <itunes:subtitle>IARPA: Disbelief to Doubt explores the history and accomplishments of the Intelligence Advanced Research Projects Activity (IARPA) through the lens of some of the most impactful current and past programs and the people who worked on them in IARPA's technical offices of Collection and Analysis.</itunes:subtitle>
    <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
    <itunes:owner>
      <itunes:name>Dimitrios Donavos</itunes:name>
    </itunes:owner>
    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>Quantum Leaps: Part 2</title>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
      <itunes:title>Quantum Leaps: Part 2</itunes:title>
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        <![CDATA[<p>The demand to solve increasingly complex problems is accelerating beyond the capabilities of traditional computing approaches. Quantum computing promises to revolutionize a host of industries by enabling rapid solutions to complex problems that are currently intractable for more traditional – or classical – computers. </p><p>As a primary funder of quantum research since 2009, IARPA-sponsored efforts have resulted in multiple world-record demonstrations of quantum computing capabilities, including achieving a “Quantum Advantage” – when a quantum computer can solve a problem more efficiently than a classical one. IARPA-funded quantum efforts have also led to over a thousand publications, dozens of patents, and the 2012 Nobel Prize in Physics.</p><p>If you haven't already, head over to our website, at https://www.iarpa.gov/podcast, where you will find resources and citations for this, and all of our episodes, including examples of quantum computing systems.</p><p>In part two of this two-part episode, we discuss with Michael why quantum is such an IARPA hard problem, unpack IARPA’s history of quantum breakthroughs over the last decade, explore what applications might come from quantum computing in the future, and much more – including how Michael’s first foray into engineering and maybe even the world of quantum might of have had its roots in the mechanics of bowling alley pin setters.</p>]]>
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        <![CDATA[<p>The demand to solve increasingly complex problems is accelerating beyond the capabilities of traditional computing approaches. Quantum computing promises to revolutionize a host of industries by enabling rapid solutions to complex problems that are currently intractable for more traditional – or classical – computers. </p><p>As a primary funder of quantum research since 2009, IARPA-sponsored efforts have resulted in multiple world-record demonstrations of quantum computing capabilities, including achieving a “Quantum Advantage” – when a quantum computer can solve a problem more efficiently than a classical one. IARPA-funded quantum efforts have also led to over a thousand publications, dozens of patents, and the 2012 Nobel Prize in Physics.</p><p>If you haven't already, head over to our website, at https://www.iarpa.gov/podcast, where you will find resources and citations for this, and all of our episodes, including examples of quantum computing systems.</p><p>In part two of this two-part episode, we discuss with Michael why quantum is such an IARPA hard problem, unpack IARPA’s history of quantum breakthroughs over the last decade, explore what applications might come from quantum computing in the future, and much more – including how Michael’s first foray into engineering and maybe even the world of quantum might of have had its roots in the mechanics of bowling alley pin setters.</p>]]>
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      <pubDate>Wed, 02 Apr 2025 14:00:00 -0400</pubDate>
      <author>IARPA</author>
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      <itunes:duration>1804</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>The demand to solve increasingly complex problems is accelerating beyond the capabilities of traditional computing approaches. Quantum computing promises to revolutionize a host of industries by enabling rapid solutions to complex problems that are currently intractable for more traditional – or classical – computers. </p><p>As a primary funder of quantum research since 2009, IARPA-sponsored efforts have resulted in multiple world-record demonstrations of quantum computing capabilities, including achieving a “Quantum Advantage” – when a quantum computer can solve a problem more efficiently than a classical one. IARPA-funded quantum efforts have also led to over a thousand publications, dozens of patents, and the 2012 Nobel Prize in Physics.</p><p>If you haven't already, head over to our website, at https://www.iarpa.gov/podcast, where you will find resources and citations for this, and all of our episodes, including examples of quantum computing systems.</p><p>In part two of this two-part episode, we discuss with Michael why quantum is such an IARPA hard problem, unpack IARPA’s history of quantum breakthroughs over the last decade, explore what applications might come from quantum computing in the future, and much more – including how Michael’s first foray into engineering and maybe even the world of quantum might of have had its roots in the mechanics of bowling alley pin setters.</p>]]>
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      <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>Quantum Leaps: Part 1 </title>
      <itunes:episode>4</itunes:episode>
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        <![CDATA[<p>The demand to solve increasingly complex problems is accelerating beyond the capabilities of traditional computing approaches. Quantum computing promises to revolutionize a host of industries by enabling rapid solutions to complex problems that are currently intractable for more traditional – or classical – computers.</p><p>As a primary funder of quantum research since 2009, IARPA-sponsored efforts have resulted in multiple world-record demonstrations of quantum computing capabilities, including achieving a “Quantum Advantage” – when a quantum computer can solve a problem more efficiently than a classical one. IARPA-funded quantum efforts have also led to over a thousand publications, dozens of patents, and the 2012 Nobel Prize in Physics.</p><p>In part one of this two-part episode, we sit down with former IARPA Program Manager, and resident quantum expert, Dr. Michael Di Rosa to talk about his journey to IARPA, what quantum computing is exactly, how it differs from more traditional computing, and much more.</p>]]>
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      <content:encoded>
        <![CDATA[<p>The demand to solve increasingly complex problems is accelerating beyond the capabilities of traditional computing approaches. Quantum computing promises to revolutionize a host of industries by enabling rapid solutions to complex problems that are currently intractable for more traditional – or classical – computers.</p><p>As a primary funder of quantum research since 2009, IARPA-sponsored efforts have resulted in multiple world-record demonstrations of quantum computing capabilities, including achieving a “Quantum Advantage” – when a quantum computer can solve a problem more efficiently than a classical one. IARPA-funded quantum efforts have also led to over a thousand publications, dozens of patents, and the 2012 Nobel Prize in Physics.</p><p>In part one of this two-part episode, we sit down with former IARPA Program Manager, and resident quantum expert, Dr. Michael Di Rosa to talk about his journey to IARPA, what quantum computing is exactly, how it differs from more traditional computing, and much more.</p>]]>
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      <pubDate>Mon, 10 Mar 2025 14:00:00 -0400</pubDate>
      <author>IARPA</author>
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      <itunes:author>IARPA</itunes:author>
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      <itunes:duration>1895</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>The demand to solve increasingly complex problems is accelerating beyond the capabilities of traditional computing approaches. Quantum computing promises to revolutionize a host of industries by enabling rapid solutions to complex problems that are currently intractable for more traditional – or classical – computers.</p><p>As a primary funder of quantum research since 2009, IARPA-sponsored efforts have resulted in multiple world-record demonstrations of quantum computing capabilities, including achieving a “Quantum Advantage” – when a quantum computer can solve a problem more efficiently than a classical one. IARPA-funded quantum efforts have also led to over a thousand publications, dozens of patents, and the 2012 Nobel Prize in Physics.</p><p>In part one of this two-part episode, we sit down with former IARPA Program Manager, and resident quantum expert, Dr. Michael Di Rosa to talk about his journey to IARPA, what quantum computing is exactly, how it differs from more traditional computing, and much more.</p>]]>
      </itunes:summary>
      <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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    <item>
      <title>Quantum Leaps (Teaser)</title>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
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      <description>
        <![CDATA[<p>Enjoy this sneak peak of IARPA: Disbelief to Doubt Episode 4!  In this upcoming episode of Disbelief to Doubt we speak with former Program Manager Michael DiRosa and explore how quantum computing differs from classical computing approaches, how this technology may eventually change the world, and how IARPA has been at the forefront of quantum research for nearly two decades. </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Enjoy this sneak peak of IARPA: Disbelief to Doubt Episode 4!  In this upcoming episode of Disbelief to Doubt we speak with former Program Manager Michael DiRosa and explore how quantum computing differs from classical computing approaches, how this technology may eventually change the world, and how IARPA has been at the forefront of quantum research for nearly two decades. </p>]]>
      </content:encoded>
      <pubDate>Mon, 24 Feb 2025 14:00:00 -0500</pubDate>
      <author>IARPA</author>
      <enclosure url="https://media.transistor.fm/f072f3b3/f01bce7c.mp3" length="1205237" type="audio/mpeg"/>
      <itunes:author>IARPA</itunes:author>
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      <itunes:duration>74</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Enjoy this sneak peak of IARPA: Disbelief to Doubt Episode 4!  In this upcoming episode of Disbelief to Doubt we speak with former Program Manager Michael DiRosa and explore how quantum computing differs from classical computing approaches, how this technology may eventually change the world, and how IARPA has been at the forefront of quantum research for nearly two decades. </p>]]>
      </itunes:summary>
      <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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    <item>
      <title>High-Risk/High-Payoff Part 2</title>
      <itunes:episode>3</itunes:episode>
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        <![CDATA[<p>IARPA invests in high-risk, high-payoff research with the goal of providing our nation with an overwhelming intelligence advantage.   Developing scientific breakthroughs that challenge the state of the art requires IARPA Program Managers (PMs) to take ideas from a place of “disbelief to doubt” before successfully launching an IARPA program.  As part of that development process, PMs must address a series of rigorous questions known as the “Heilmeier Questions” named after George Heilmeier, a pioneer in the research and development field. </p><p>In Part 2 of this 2 part episode we continue our conversation with former Office of Analysis Director, Mr. Rob Rahmer and discuss how Rob defines success in the Office of Analysis, what makes a problem "IARPA Hard" and much more.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>IARPA invests in high-risk, high-payoff research with the goal of providing our nation with an overwhelming intelligence advantage.   Developing scientific breakthroughs that challenge the state of the art requires IARPA Program Managers (PMs) to take ideas from a place of “disbelief to doubt” before successfully launching an IARPA program.  As part of that development process, PMs must address a series of rigorous questions known as the “Heilmeier Questions” named after George Heilmeier, a pioneer in the research and development field. </p><p>In Part 2 of this 2 part episode we continue our conversation with former Office of Analysis Director, Mr. Rob Rahmer and discuss how Rob defines success in the Office of Analysis, what makes a problem "IARPA Hard" and much more.</p>]]>
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      <pubDate>Mon, 27 Jan 2025 14:00:00 -0500</pubDate>
      <author>IARPA</author>
      <enclosure url="https://media.transistor.fm/1d631835/80906e8e.mp3" length="47502245" type="audio/mpeg"/>
      <itunes:author>IARPA</itunes:author>
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      <itunes:duration>1978</itunes:duration>
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        <![CDATA[<p>IARPA invests in high-risk, high-payoff research with the goal of providing our nation with an overwhelming intelligence advantage.   Developing scientific breakthroughs that challenge the state of the art requires IARPA Program Managers (PMs) to take ideas from a place of “disbelief to doubt” before successfully launching an IARPA program.  As part of that development process, PMs must address a series of rigorous questions known as the “Heilmeier Questions” named after George Heilmeier, a pioneer in the research and development field. </p><p>In Part 2 of this 2 part episode we continue our conversation with former Office of Analysis Director, Mr. Rob Rahmer and discuss how Rob defines success in the Office of Analysis, what makes a problem "IARPA Hard" and much more.</p>]]>
      </itunes:summary>
      <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>High-Risk/High-Payoff Part 1</title>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
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      <description>
        <![CDATA[<p>IARPA invests in high-risk, high-payoff research with the goal of providing our nation with an overwhelming intelligence advantage.   Developing scientific breakthroughs that challenge the state of the art requires IARPA Program Managers (PMs) to take ideas from a place of “disbelief to doubt” before successfully launching an IARPA program.  As part of that development process, PMs must address a series of rigorous questions known as the “Heilmeier Questions” named after George Heilmeier, a pioneer in the research and development field. </p><p>In Part 1 of this 2 part episode we sit down with former Office of Analysis Director Rob Rahmer to discuss his journey to IARPA, unpack the Heilmeier Questions and the role the play in IARPA research, and much more.  </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>IARPA invests in high-risk, high-payoff research with the goal of providing our nation with an overwhelming intelligence advantage.   Developing scientific breakthroughs that challenge the state of the art requires IARPA Program Managers (PMs) to take ideas from a place of “disbelief to doubt” before successfully launching an IARPA program.  As part of that development process, PMs must address a series of rigorous questions known as the “Heilmeier Questions” named after George Heilmeier, a pioneer in the research and development field. </p><p>In Part 1 of this 2 part episode we sit down with former Office of Analysis Director Rob Rahmer to discuss his journey to IARPA, unpack the Heilmeier Questions and the role the play in IARPA research, and much more.  </p>]]>
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      <pubDate>Mon, 13 Jan 2025 14:00:00 -0500</pubDate>
      <author>IARPA</author>
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      <itunes:author>IARPA</itunes:author>
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      <itunes:duration>1842</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>IARPA invests in high-risk, high-payoff research with the goal of providing our nation with an overwhelming intelligence advantage.   Developing scientific breakthroughs that challenge the state of the art requires IARPA Program Managers (PMs) to take ideas from a place of “disbelief to doubt” before successfully launching an IARPA program.  As part of that development process, PMs must address a series of rigorous questions known as the “Heilmeier Questions” named after George Heilmeier, a pioneer in the research and development field. </p><p>In Part 1 of this 2 part episode we sit down with former Office of Analysis Director Rob Rahmer to discuss his journey to IARPA, unpack the Heilmeier Questions and the role the play in IARPA research, and much more.  </p>]]>
      </itunes:summary>
      <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>High-Risk/High-Reward Teaser</title>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <itunes:title>High-Risk/High-Reward Teaser</itunes:title>
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        <![CDATA[<p>Join us for a sneak peek of IARPA: Disbelief to Doubt Episode 3! In this episode, we sit down with Former Office Director Rob Rahmer to discuss his journey from self-professed math Geek to leading the Office of Analysis to a prolific number of new programs during his tenure. </p><p>Part 1 drops on January 13th, 2025 followed by Part 2 on January 27th. Learn more and listen in at IARPA.gov/podcast! </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Join us for a sneak peek of IARPA: Disbelief to Doubt Episode 3! In this episode, we sit down with Former Office Director Rob Rahmer to discuss his journey from self-professed math Geek to leading the Office of Analysis to a prolific number of new programs during his tenure. </p><p>Part 1 drops on January 13th, 2025 followed by Part 2 on January 27th. Learn more and listen in at IARPA.gov/podcast! </p>]]>
      </content:encoded>
      <pubDate>Mon, 16 Dec 2024 14:00:00 -0500</pubDate>
      <author>IARPA</author>
      <enclosure url="https://media.transistor.fm/ff8fb8a4/3756662d.mp3" length="908968" type="audio/mpeg"/>
      <itunes:author>IARPA</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/DnQN1BP1eZKJqGHOEUgDvLLqDHpB5Eb0Q5XJjme9yYI/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xMDlh/OThmNmEzYTMzYWZl/YmJmNDViYmZiNmNk/NDA2OC5qcGc.jpg"/>
      <itunes:duration>55</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Join us for a sneak peek of IARPA: Disbelief to Doubt Episode 3! In this episode, we sit down with Former Office Director Rob Rahmer to discuss his journey from self-professed math Geek to leading the Office of Analysis to a prolific number of new programs during his tenure. </p><p>Part 1 drops on January 13th, 2025 followed by Part 2 on January 27th. Learn more and listen in at IARPA.gov/podcast! </p>]]>
      </itunes:summary>
      <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>IARPA Retrospective: Lessons Learned from 10 Years of "IARPA Hard Problems" with Former Director Dr. Jason Matheny Part 2</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>IARPA Retrospective: Lessons Learned from 10 Years of "IARPA Hard Problems" with Former Director Dr. Jason Matheny Part 2</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">34510efd-b299-47cf-ab1a-033605773634</guid>
      <link>https://share.transistor.fm/s/f0adedb2</link>
      <description>
        <![CDATA[<p>In this episode of Disbelief to Doubt we continue our conversation previously recorded with former IARPA Director Dr. Jason Matheny, who served as IARPA director from 2015 through 2018. In part two of this two-part interview we discuss the impact of IARPA's mission on national security and science, overcoming the challenges of technology adoption, Jason's parting wisdom on future trends and challenges in national security research, and much more.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode of Disbelief to Doubt we continue our conversation previously recorded with former IARPA Director Dr. Jason Matheny, who served as IARPA director from 2015 through 2018. In part two of this two-part interview we discuss the impact of IARPA's mission on national security and science, overcoming the challenges of technology adoption, Jason's parting wisdom on future trends and challenges in national security research, and much more.</p>]]>
      </content:encoded>
      <pubDate>Mon, 18 Nov 2024 14:00:00 -0500</pubDate>
      <author>IARPA</author>
      <enclosure url="https://media.transistor.fm/f0adedb2/c19e376f.mp3" length="35900548" type="audio/mpeg"/>
      <itunes:author>IARPA</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/zSYENX65bnQUqfz_6rrFHyVelO4-u5s-6AmZtXGVPrE/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yYzQ3/Y2MyZWY1MGU1YjU2/YjU1NmVhMzI0OGFi/MjZiMy5qcGc.jpg"/>
      <itunes:duration>1494</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode of Disbelief to Doubt we continue our conversation previously recorded with former IARPA Director Dr. Jason Matheny, who served as IARPA director from 2015 through 2018. In part two of this two-part interview we discuss the impact of IARPA's mission on national security and science, overcoming the challenges of technology adoption, Jason's parting wisdom on future trends and challenges in national security research, and much more.</p>]]>
      </itunes:summary>
      <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>IARPA Retrospective: Lessons Learned from 10 Years of "IARPA Hard Problems" with Former Director Dr. Jason Matheny Part 1</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>IARPA Retrospective: Lessons Learned from 10 Years of "IARPA Hard Problems" with Former Director Dr. Jason Matheny Part 1</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">a3b03b32-5939-4de0-ba57-b0a0d5bffd7c</guid>
      <link>https://share.transistor.fm/s/ae20f938</link>
      <description>
        <![CDATA[<p>In this episode of Disbelief to Doubt we turn back the clock to 2018 and sit down with former IARPA Director Dr. Jason Matheny who served as IARPA director from 2015 through 2018. In part one of this two-part interview we discuss a wide range of topics, including Jason's early career in science, how being a "force multiplier" drew him to IARPA, lessons learned from IARPA's first 10 years of tackling "IARPA hard" problems, the role of the U.S. as a leader in artificial intelligence (AI) research and development and much more. </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode of Disbelief to Doubt we turn back the clock to 2018 and sit down with former IARPA Director Dr. Jason Matheny who served as IARPA director from 2015 through 2018. In part one of this two-part interview we discuss a wide range of topics, including Jason's early career in science, how being a "force multiplier" drew him to IARPA, lessons learned from IARPA's first 10 years of tackling "IARPA hard" problems, the role of the U.S. as a leader in artificial intelligence (AI) research and development and much more. </p>]]>
      </content:encoded>
      <pubDate>Mon, 04 Nov 2024 14:15:00 -0500</pubDate>
      <author>IARPA</author>
      <enclosure url="https://media.transistor.fm/ae20f938/1ee986b7.mp3" length="40320746" type="audio/mpeg"/>
      <itunes:author>IARPA</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/3XZZtFOAOQ-qruIMTnfqukRHiJMus_37Vh8uVu2z74A/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jZTM5/NWQ0NmQwMGVkZTQx/MjBjNTA0MDU4ZTll/NGY1Yy5qcGc.jpg"/>
      <itunes:duration>1679</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode of Disbelief to Doubt we turn back the clock to 2018 and sit down with former IARPA Director Dr. Jason Matheny who served as IARPA director from 2015 through 2018. In part one of this two-part interview we discuss a wide range of topics, including Jason's early career in science, how being a "force multiplier" drew him to IARPA, lessons learned from IARPA's first 10 years of tackling "IARPA hard" problems, the role of the U.S. as a leader in artificial intelligence (AI) research and development and much more. </p>]]>
      </itunes:summary>
      <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>IARPA Retrospective Teaser</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>IARPA Retrospective Teaser</itunes:title>
      <itunes:episodeType>trailer</itunes:episodeType>
      <guid isPermaLink="false">6234fb9b-c532-464e-8447-e509919843e6</guid>
      <link>https://share.transistor.fm/s/9c3bfa63</link>
      <description>
        <![CDATA[<p>Enjoy this preview of IARPA: Disbelief to Doubt Episode 2! In this retrospective episode, you'll hear former IARPA Director Dr. Jason Matheny talk about what it means to be a Force Multiplier as an IARPA Program Manager and discuss lessons learned over a decade of IARPA research breakthroughs. </p><p>Part 1 drops on November 4th followed by Part 2 on November 18th. Learn more and listen in at IARPA.gov/podcast!</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Enjoy this preview of IARPA: Disbelief to Doubt Episode 2! In this retrospective episode, you'll hear former IARPA Director Dr. Jason Matheny talk about what it means to be a Force Multiplier as an IARPA Program Manager and discuss lessons learned over a decade of IARPA research breakthroughs. </p><p>Part 1 drops on November 4th followed by Part 2 on November 18th. Learn more and listen in at IARPA.gov/podcast!</p>]]>
      </content:encoded>
      <pubDate>Thu, 24 Oct 2024 10:40:00 -0400</pubDate>
      <author>IARPA</author>
      <enclosure url="https://media.transistor.fm/9c3bfa63/d457a7f9.mp3" length="689954" type="audio/mpeg"/>
      <itunes:author>IARPA</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/8IEQqcBP0h2wSMFcb8pRmySija1p3CPTi2RXBK_JboY/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80N2Zm/MDA3NmViM2YxYmI3/NzBjODNhODI0MmYx/OTQ5Ni5qcGc.jpg"/>
      <itunes:duration>41</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Enjoy this preview of IARPA: Disbelief to Doubt Episode 2! In this retrospective episode, you'll hear former IARPA Director Dr. Jason Matheny talk about what it means to be a Force Multiplier as an IARPA Program Manager and discuss lessons learned over a decade of IARPA research breakthroughs. </p><p>Part 1 drops on November 4th followed by Part 2 on November 18th. Learn more and listen in at IARPA.gov/podcast!</p>]]>
      </itunes:summary>
      <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 1: Part 2: Force Multipliers</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>Episode 1: Part 2: Force Multipliers</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">f304803c-9fa7-4a33-8ef7-0059437bfcc8</guid>
      <link>https://share.transistor.fm/s/50259679</link>
      <description>
        <![CDATA[<p>In Part 2 of our premiere episode of the Intelligence Advanced Research Projects Activity's (IARPA) new podcast series, we continue our conversation with former Director Catherine Marsh to discuss IARPA's process for funding high-risk/high reward research, what differentiates IARPA's mission from that of DARPA's, how Program Managers are empowered to make a dent in the universe, and much more. </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In Part 2 of our premiere episode of the Intelligence Advanced Research Projects Activity's (IARPA) new podcast series, we continue our conversation with former Director Catherine Marsh to discuss IARPA's process for funding high-risk/high reward research, what differentiates IARPA's mission from that of DARPA's, how Program Managers are empowered to make a dent in the universe, and much more. </p>]]>
      </content:encoded>
      <pubDate>Mon, 23 Sep 2024 14:00:00 -0400</pubDate>
      <author>IARPA</author>
      <enclosure url="https://media.transistor.fm/50259679/4d32b275.mp3" length="60463969" type="audio/mpeg"/>
      <itunes:author>IARPA</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/NkVlCnZb0lK18OG6l0iiRvv007wa_RVKLXcsWckrM3Y/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lYzBm/M2ZiOTgzNmU3ZDli/MGRkMGM1NmU4ZWMy/MTE1My5qcGc.jpg"/>
      <itunes:duration>2518</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In Part 2 of our premiere episode of the Intelligence Advanced Research Projects Activity's (IARPA) new podcast series, we continue our conversation with former Director Catherine Marsh to discuss IARPA's process for funding high-risk/high reward research, what differentiates IARPA's mission from that of DARPA's, how Program Managers are empowered to make a dent in the universe, and much more. </p>]]>
      </itunes:summary>
      <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 1: Part 1: Leap Of Faith </title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>Episode 1: Part 1: Leap Of Faith </itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">a66d7691-06f5-40e6-a7ac-feb4ea0b9b0d</guid>
      <link>https://share.transistor.fm/s/ff658d8c</link>
      <description>
        <![CDATA[<p>In Part 1 of the premiere episode of the Intelligence Advanced Research Projects Activity's (IARPA) new podcast series, we sit down with former Director Catherine Marsh to discuss IARPA's origin story and the world events that led to her joining government service and set her on a path to leading what the New York Times has heralded as "one of the government's most creative agencies." </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In Part 1 of the premiere episode of the Intelligence Advanced Research Projects Activity's (IARPA) new podcast series, we sit down with former Director Catherine Marsh to discuss IARPA's origin story and the world events that led to her joining government service and set her on a path to leading what the New York Times has heralded as "one of the government's most creative agencies." </p>]]>
      </content:encoded>
      <pubDate>Mon, 09 Sep 2024 14:05:00 -0400</pubDate>
      <author>IARPA</author>
      <enclosure url="https://media.transistor.fm/ff658d8c/1eed1842.mp3" length="44604746" type="audio/mpeg"/>
      <itunes:author>IARPA</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/a6rea3HNye5gjYk3nAktJtsey9LH2WQezMHkqnwafbs/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80MzMy/ZWU0N2NiMTkyZDMw/MjNhZGJkN2VlZjky/ZDA0MS5qcGc.jpg"/>
      <itunes:duration>1858</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In Part 1 of the premiere episode of the Intelligence Advanced Research Projects Activity's (IARPA) new podcast series, we sit down with former Director Catherine Marsh to discuss IARPA's origin story and the world events that led to her joining government service and set her on a path to leading what the New York Times has heralded as "one of the government's most creative agencies." </p>]]>
      </itunes:summary>
      <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Leap of Faith (Teaser)</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>Leap of Faith (Teaser)</itunes:title>
      <itunes:episodeType>trailer</itunes:episodeType>
      <guid isPermaLink="false">bb404ea8-ffc5-48bd-9fe0-67948d5c53ad</guid>
      <link>https://share.transistor.fm/s/20f732c2</link>
      <description>
        <![CDATA[<p>Get a sneak peek of Disbelief to Doubt Episode 1! In this episode, you'll learn IARPA's origin story and hear about former Director Dr. Catherine Marsh's "leap of faith" into government service. Full episode coming soon! </p><p>Learn more and listen in at IARPA.gov/podcast!</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Get a sneak peek of Disbelief to Doubt Episode 1! In this episode, you'll learn IARPA's origin story and hear about former Director Dr. Catherine Marsh's "leap of faith" into government service. Full episode coming soon! </p><p>Learn more and listen in at IARPA.gov/podcast!</p>]]>
      </content:encoded>
      <pubDate>Fri, 26 Apr 2024 09:07:00 -0400</pubDate>
      <author>IARPA</author>
      <enclosure url="https://media.transistor.fm/20f732c2/cca5cd24.mp3" length="1245508" type="audio/mpeg"/>
      <itunes:author>IARPA</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/4zOV-rArUKAKNPdLSosLaFhNcsuOjR9Xc8Ihb5tEOlE/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kNjdm/NDU5MWE4OGExNzYz/MTdkM2VhMWE2OGEz/MDVmMy5qcGc.jpg"/>
      <itunes:duration>51</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Get a sneak peek of Disbelief to Doubt Episode 1! In this episode, you'll learn IARPA's origin story and hear about former Director Dr. Catherine Marsh's "leap of faith" into government service. Full episode coming soon! </p><p>Learn more and listen in at IARPA.gov/podcast!</p>]]>
      </itunes:summary>
      <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>IARPA: Disbelief To Doubt (Trailer)</title>
      <itunes:title>IARPA: Disbelief To Doubt (Trailer)</itunes:title>
      <itunes:episodeType>trailer</itunes:episodeType>
      <guid isPermaLink="false">7fbf1b98-8920-4550-b0b1-b6d155e3f574</guid>
      <link>https://share.transistor.fm/s/12ca9ccb</link>
      <description>
        <![CDATA[<p>Welcome to <strong>IARPA: Disbelief to Doubt</strong> the new podcast from the Intelligence Advanced Research Projects Activity (IARPA).   Disbelief to Doubt will explore our 15+ year history of pushing the boundaries of science and being at the forefront of innovation all in service to our nation.</p><p>Coming Soon!</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Welcome to <strong>IARPA: Disbelief to Doubt</strong> the new podcast from the Intelligence Advanced Research Projects Activity (IARPA).   Disbelief to Doubt will explore our 15+ year history of pushing the boundaries of science and being at the forefront of innovation all in service to our nation.</p><p>Coming Soon!</p>]]>
      </content:encoded>
      <pubDate>Fri, 26 Apr 2024 09:05:00 -0400</pubDate>
      <author>IARPA</author>
      <enclosure url="https://media.transistor.fm/12ca9ccb/a3e4ca8f.mp3" length="2484996" type="audio/mpeg"/>
      <itunes:author>IARPA</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/rC3Pxx0-y4fbQDguEKCCah9CQFJxPH0vE-S2Dn_xqBg/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80ZDYy/MjQ4NWYwYzgyYTky/OWUwMjUzNjM0NzBk/YTUwOS5qcGc.jpg"/>
      <itunes:duration>103</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Welcome to <strong>IARPA: Disbelief to Doubt</strong> the new podcast from the Intelligence Advanced Research Projects Activity (IARPA).   Disbelief to Doubt will explore our 15+ year history of pushing the boundaries of science and being at the forefront of innovation all in service to our nation.</p><p>Coming Soon!</p>]]>
      </itunes:summary>
      <itunes:keywords>IARPA, Technology, Emerging Technology, Science, ARPA, Advanced Research, Quantum, Human Language Technology, Applied Research, Artificial Intelligence, AI, Machine Learning, Biometrics, Microelectronics. Data Analytics, Modeling, Neuroscience, Bioscience</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
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