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DTSTART:20251102T020000
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DESCRIPTION:A Campbell Institute and Policy Agendas Project lecture: “Gener
 ative\nArtificial Intelligence and the Future of Social Science -&nbsp\;Re
 shaping\nKnowledge: How AI is Transforming Social Science Research.”How ar
 e large language models revolutionizing knowledge construction in the soci
 al sciences? What new possibilities—and potential pitfalls—do these techno
 logies present for researchers and educators? How can we responsibly integ
 rate AI into social science research to enhance our understanding of the w
 orld while upholding the core principles of academic integrity?Join us for
  a thought-provoking discussion with a pioneering international scholar wh
 o developed a no-code LLM platform for studying international politics acr
 oss twenty languages.Presentation Highlights:The evolution of AI applicati
 ons in social science researchTransformative impacts of large language mod
 els on data generation and analysisAn introduction to “The Babel Machine\,
 ” Dr. Sebők's multilingual LLM platformFuture trajectories for AI-augmente
 d academic researchMiklós Sebők is director of poltextLAB Artificial Intel
 ligence&nbsp\;Laboratory and co-director of the Artificial Intelligence Na
 tional Lab at the Centre for Social Sciences (CSS) in Budapest\, Hungary. 
 Sebők is a renowned expert in AI-powered qualitative text analysis\, Hunga
 rian politics and public policy. His groundbreaking work bridges technolog
 ical innovation and social science methodology.This event is co-sponsored 
 by the Moynihan Institute of Global Affairs and the Autonomous Systems Pol
 icy Institute.
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DTSTAMP:20260511T111502Z
DTSTART:20250401T160000Z
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SUMMARY:Generative Artificial Intelligence and the Future of Social Science
UID:RFCALITEM639140805028544302
X-ALT-DESC;FMTTYPE=text/html:<p>A Campbell Institute and Policy Agendas Pro
 ject lecture: “Generative\nArtificial Intelligence and the Future of Socia
 l Science -&nbsp\;Reshaping\nKnowledge: How AI is Transforming Social Scie
 nce Research.”</p><p>How are large language models revolutionizing knowled
 ge construction in the social sciences? What new possibilities—and potenti
 al pitfalls—do these technologies present for researchers and educators? H
 ow can we responsibly integrate AI into social science research to enhance
  our understanding of the world while upholding the core principles of aca
 demic integrity?</p><p>Join us for a thought-provoking discussion with a p
 ioneering international scholar who developed a no-code LLM platform for s
 tudying international politics across twenty languages.</p><h3>Presentatio
 n Highlights:<br></h3><ul><li>The evolution of AI applications in social s
 cience research</li><li>Transformative impacts of large language models on
  data generation and analysis</li><li>An introduction to “The Babel Machin
 e\,” Dr. Sebők's multilingual LLM platform</li><li>Future trajectories for
  AI-augmented academic research</li></ul><p>Miklós Sebők is director of po
 ltextLAB Artificial Intelligence&nbsp\;Laboratory and co-director of the A
 rtificial Intelligence National Lab at the Centre for Social Sciences (CSS
 ) in Budapest\, Hungary. Sebők is a renowned expert in AI-powered qualitat
 ive text analysis\, Hungarian politics and public policy. His groundbreaki
 ng work bridges technological innovation and social science methodology.</
 p><p><em>This event is co-sponsored by the Moynihan Institute of Global Af
 fairs and the Autonomous Systems Policy Institute.</em></p>
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