Artificial Intelligence has suddenly gone from the fringes of science to being everywhere. So how did we get here? And where's this all heading? In this new series of Science Friction, we're finding out.
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86 | The Present & Future of Computational Social Science
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Manage episode 352869300 series 1096505
Innhold levert av On the Evidence. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av On the Evidence eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Princeton professor Matthew Salganik’s book, Bit by Bit, explores the merging worlds of computer science and social science for timely, policy relevant research in the 21st century. In the book, he shows how traditional research techniques in the social sciences can sometimes be combined with digital tools and big data to generate high-quality evidence on a larger scale, in less time, and at a much lower cost. On the five-year anniversary of his book’s release, Salganik, who is also a member of Mathematica’s Board of Directors, spoke with On the Evidence about the book’s legacy and the evolution of the field of computational social science since he first taught a course on the subject in 2007. A full transcript of the episode is available here: https://www.mathematica.org/blogs/princetons-matthew-salganik-discusses-the-evolving-intersection-of-data-and-social-science-ethics Read a free online version of Salganik’s book, Bit by Bit: https://www.bitbybitbook.com/en/1st-ed/preface/ Attend a virtual book talk on February 7, 2023 about Bit by Bit, including a Q&A with the author, hosted by the Washington, D.C. chapter of the American Association for Public Opinion Research: https://www.eventbrite.com/e/dc-aapor-book-club-20-bit-by-bit-social-research-in-the-digital-age-tickets-487575530537 Listen to a previous On the Evidence episode about the Howard-Mathematica SICSS, which features Salganik: https://mathematica.org/blogs/inside-an-initiative-to-diversify-the-field-of-computational-social-science Learn more about the Howard-Mathematica SICSS: https://mathematica.org/news/howard-university-and-mathematica-to-host-computational-social-science-summer-institute Watch Salganik give a Tedx talk at Princeton University about the tension between ready-made data (big data) and custom-made data (with which social scientists usually work): https://www.youtube.com/watch?v=2pj95xXHN2g Learn more about Salganik and his appointment in 2018 as a member of Mathematica’s Board of Directors: https://mathematica.org/news/matthew-salganik-appointed-to-mathematicas-board-of-directors
…
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156 episoder
MP3•Episoder hjem
Manage episode 352869300 series 1096505
Innhold levert av On the Evidence. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av On the Evidence eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Princeton professor Matthew Salganik’s book, Bit by Bit, explores the merging worlds of computer science and social science for timely, policy relevant research in the 21st century. In the book, he shows how traditional research techniques in the social sciences can sometimes be combined with digital tools and big data to generate high-quality evidence on a larger scale, in less time, and at a much lower cost. On the five-year anniversary of his book’s release, Salganik, who is also a member of Mathematica’s Board of Directors, spoke with On the Evidence about the book’s legacy and the evolution of the field of computational social science since he first taught a course on the subject in 2007. A full transcript of the episode is available here: https://www.mathematica.org/blogs/princetons-matthew-salganik-discusses-the-evolving-intersection-of-data-and-social-science-ethics Read a free online version of Salganik’s book, Bit by Bit: https://www.bitbybitbook.com/en/1st-ed/preface/ Attend a virtual book talk on February 7, 2023 about Bit by Bit, including a Q&A with the author, hosted by the Washington, D.C. chapter of the American Association for Public Opinion Research: https://www.eventbrite.com/e/dc-aapor-book-club-20-bit-by-bit-social-research-in-the-digital-age-tickets-487575530537 Listen to a previous On the Evidence episode about the Howard-Mathematica SICSS, which features Salganik: https://mathematica.org/blogs/inside-an-initiative-to-diversify-the-field-of-computational-social-science Learn more about the Howard-Mathematica SICSS: https://mathematica.org/news/howard-university-and-mathematica-to-host-computational-social-science-summer-institute Watch Salganik give a Tedx talk at Princeton University about the tension between ready-made data (big data) and custom-made data (with which social scientists usually work): https://www.youtube.com/watch?v=2pj95xXHN2g Learn more about Salganik and his appointment in 2018 as a member of Mathematica’s Board of Directors: https://mathematica.org/news/matthew-salganik-appointed-to-mathematicas-board-of-directors
…
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156 episoder
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