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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><a name="_Hlk69118321"><span lang="EN-US" style="font-size:12.0pt">Hi all,<o:p></o:p></span></a></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="mso-bookmark:_Hlk69118321"><span lang="EN-US" style="font-size:12.0pt">We are happy to announce an extra IAS Seminar with Professor James Evans. The seminar will take
place on Monday, October 2 at 14:30 (CET). See abstract below.<o:p></o:p></span></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="mso-bookmark:_Hlk69118321"><span lang="EN-US" style="font-size:12.0pt"><o:p> </o:p></span></span></p>
<p class="MsoNormal" align="center" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:center">
<span style="mso-bookmark:_Hlk69118321"><span lang="EN-US" style="font-size:18.0pt">The Institute for Analytical Sociology Seminar</span></span><span style="mso-bookmark:_Hlk69118321"><span lang="EN-US" style="font-size:18.0pt;mso-fareast-language:SV"><o:p></o:p></span></span></p>
<p class="Pa8" align="center" style="margin-bottom:1.0pt;text-align:center"><span style="mso-bookmark:_Hlk69118321"><span class="A8"><span lang="EN-US" style="font-size:18.0pt;font-family:"Times New Roman",serif">Venue: KO301 & Online on Zoom
</span></span></span><span style="mso-bookmark:_Hlk69118321"><span class="A8"><span lang="EN-US" style="font-family:"Times New Roman",serif">(see Zoom link in the end of the email)</span></span></span><span style="mso-bookmark:_Hlk69118321"><span class="A6"><span style="font-size:9.0pt;font-family:"Times New Roman",serif;color:windowtext"><o:p></o:p></span></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk69118321"><span class="A6"><span lang="EN-US" style="font-size:18.0pt;font-family:"Times New Roman",serif;color:#1F497D"><o:p> </o:p></span></span></span></p>
<p class="Pa8" align="center" style="margin-bottom:1.0pt;text-align:center"><span style="mso-bookmark:_Hlk69118321"><b><span lang="EN-US" style="font-size:18.0pt;font-family:"Times New Roman",serif">Monday, October 2 @
<u>14:30CET</u></span></b><u><o:p></o:p></u></span></p>
<p class="Pa8" align="center" style="margin-bottom:1.0pt;text-align:center"><span style="mso-bookmark:_Hlk69118321"><span lang="EN-US">__________________________________________________</span></span><span style="mso-bookmark:_Hlk69118321"><span lang="EN-US" style="font-family:"Times New Roman",serif"><o:p></o:p></span></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="mso-bookmark:_Hlk69118321"><b><span lang="EN-US" style="font-size:18.0pt;mso-fareast-language:SV"><o:p> </o:p></span></b></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="mso-bookmark:_Hlk69118321"><b><span lang="EN-US" style="font-size:18.0pt;mso-fareast-language:SV"><o:p> </o:p></span></b></span></p>
<p class="elementtoproof" align="center" style="text-align:center;background:white">
<span style="mso-bookmark:_Hlk69118321"><b><span lang="EN-US" style="font-size:18.0pt;color:black">Accelerating (social) science with human-aware artificial intelligence</span></b></span><span style="mso-bookmark:_Hlk69118321"><b><span lang="EN-US" style="font-size:18.0pt"><o:p></o:p></span></b></span></p>
<p class="elementtoproof" align="center" style="text-align:center;background:white">
<span style="mso-bookmark:_Hlk69118321"></span><span style="mso-bookmark:_Hlk69118321"><b><span lang="EN-US" style="font-size:18.0pt"><o:p> </o:p></span></b></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="mso-bookmark:_Hlk69118321"><i><span lang="EN-US" style="font-size:12.0pt;color:black;mso-fareast-language:SV">James Evans<o:p></o:p></span></i></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="mso-bookmark:_Hlk69118321"><i><span lang="EN-US" style="font-size:12.0pt;color:black;mso-fareast-language:SV">University of Chicago<o:p></o:p></span></i></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk69118321"><span lang="EN-US"><o:p> </o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk69118321"><span lang="EN-GB" style="font-size:12.0pt">Abstract:<br>
</span></span><span style="mso-bookmark:_Hlk69118321"><span lang="EN-US" style="font-size:12.0pt">Artificial intelligence (AI) models trained on published scientific findings have been used to invent valuable materials and targeted therapies, but they typically
ignore the human scientists who continually alter the landscape of discovery. Here we show that incorporating the distribution of human expertise by training unsupervised models on simulated inferences cognitively available to experts dramatically improves
(up to 400%) AI prediction of future discoveries beyond those focused on research content alone, especially when relevant literature is sparse. These models succeed by predicting human predictions and the scientists who will make them. By tuning human-aware
AI to avoid the crowd, we can generate scientifically promising “alien” hypotheses unlikely to be imagined or pursued without intervention until the distant future, which hold promise to punctuate scientific advance beyond questions currently pursued. I also
explore the creation of other kinds of data-driven, machine learned "digital doubles" (e.g., LLM-based social agents) that facilitate cycles of semi-automated virtual and staged experiments tuned to reveal social and scientific insights and generate social
and material technologies. Accelerating human discovery or probing its blind spots, I show how human-aware and complementary AI enables us to move toward and beyond the contemporary (social) scientific frontier.</span></span><span style="mso-bookmark:_Hlk69118321"><span lang="EN-GB" style="font-size:12.0pt"><o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk69118321"><span lang="EN-US"><o:p> </o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk69118321"><span lang="EN-US">Join Zoom Meeting<o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk69118321"></span><a href="https://liu-se.zoom.us/j/65535789369"><span style="mso-bookmark:_Hlk69118321"><span lang="EN-US">https://liu-se.zoom.us/j/65535789369</span></span><span style="mso-bookmark:_Hlk69118321"></span></a><span style="mso-bookmark:_Hlk69118321"><span lang="EN-US"><o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk69118321"><span lang="EN-US">Meeting ID: 655 3578 9369</span></span><span lang="EN-US"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US" style="font-size:11.5pt;color:#201F1E">James Evans</span></b><span lang="EN-US" style="font-size:11.5pt;color:#201F1E"> is the Max Palevsky Professor of History and Civilization, Sociology, Director of Knowledge Lab, and Founding
Faculty Director of Computational Social Science at the University of Chicago and the Santa Fe Institute. Evans' research uses large-scale data, machine learning and generative models to understand how collectives think and what they know. This involves inquiry
into the emergence of ideas, shared patterns of reasoning, and processes of attention, communication, agreement, and certainty. Thinking and knowing collectives like science, Wikipedia or the Web involve complex networks of diverse human and machine intelligences,
collaborating and competing to achieve overlapping aims. Evans' work connects the interaction of these agents with the knowledge they produce and its value for themselves and the system. </span><span lang="EN-US"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.5pt;color:#201F1E">Evans designs observatories for understanding that fuse data from text, images and other sensors with results from interactive crowd sourcing and online experiments. Much of Evans'
work has investigated modern science and technology to identify collective biases, generate new leads taking these into account, and imagine alternative discovery regimes. He has identified R&D institutions that generate more and less novelty, precision, density and robustness. Evans also
explores thinking and knowing in other domains ranging from political ideology to popular culture. His work has been published in Nature, Science, PNAS, American Sociological Review, American Journal of Sociology and many other outlets.</span><span lang="EN-US"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"><span lang="EN-US" style="mso-ligatures:none;mso-fareast-language:SV">Best regards<br>
Madelene Töpfer<br>
Administrator<o:p></o:p></span></p>
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<p class="MsoNormal"><b><span lang="EN-US" style="font-size:10.0pt;font-family:"Arial",sans-serif;mso-ligatures:none;mso-fareast-language:SV">Institute for Analytical Sociology</span></b><span lang="EN-US" style="font-size:10.0pt;font-family:"Arial",sans-serif;mso-ligatures:none;mso-fareast-language:SV"><br>
S-601 74 Norrköping<br>
Phone: +46 (0)11-36 32 91<br>
Mobile: +46 (0)700 89 66 97<br>
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