Besides his work on emerging technologies and catastrophic risks,Matheny is recognized for having popularized the concept of cultured meat,after co-authoring a paper[21] on cultured meat production in the early 2000s and founding New Harvest,the world's first non-profit organization dedicated to supporting in vitro meat research.[22]
Recognition
Matheny's work was called one of the "ideas of the year" by The New York Times,and he was named one of Foreign Policy's top 100 global thinkers.[23]
Matheny is a member of the National Academies' Intelligence Community Studies Board,[24] the National Academies' Committee on Science and Innovation Leadership for the 21st Century,[25] the Department of Commerce Emerging Technology Technical Advisory Committee,[26] the Department of Energy AIML Working Group,[27] the AAAS Committee on Science,Engineering,and Public Policy,[28] the Nuclear Threat Initiative Science and Technology Advisory Group,[29] the Center for a New American Security Task Force on AI and National Security,[30] the Carnegie Endowment for International Peace Encryption Working Group,[31] and is a Non-Resident Senior Associate at the Center for Strategic and International Studies.[32] He is a recipient of the Intelligence Community's Award for Individual Achievement in Science and Technology,the National Intelligence Superior Service Medal,and the Presidential Early Career Award for Scientists and Engineers.[18]
↑ Bleicher, Ariel (August 9, 2017). "Demystifying the Black Box That Is AI". Scientific American. Archived from the original on August 9, 2017. When Jason Matheny joined the U.S. Intelligence Advanced Research Projects Activity (IARPA) as a program manager in 2009, he made a habit of chatting to the organization's research analysts.
↑ Hamilton, Keegan (January 8, 2015). "US Agencies Are Using the Web to Pick Our Brains". Washingtonian. The problem, says Jason Matheny, who started a program at IARPA called Aggregative Contingent Estimation, is that 'people who have the traditional markers of expertise are typically not the most accurate forecasters.'
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