Physics Approaches for Modeling Human Social Systems
FOCUS · G31 · ID: 2154340
Presentations
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Nonlinear dynamics of belief formation over social networks
ORAL · Invited
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Presenters
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Anastasia Bizyaeva
University of Washington
Authors
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Anastasia Bizyaeva
University of Washington
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Naomi Leonard
Princeton University
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Alessio Franci
University of Liege
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Dynamic Risk and Decision Making in Markov Models of Wildfire
ORAL
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Publication: Hulsey, G., Alderson, D. L., and Carlson, J. (2023). The birth-death-suppression Markov process and wildfires, Phys. Rev. E (submitted).
Presenters
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Jean M Carlson
University of California, Santa Barbara
Authors
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Jean M Carlson
University of California, Santa Barbara
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George Hulsey
University of California, Santa Barbara
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David L Alderson
Naval Postgraduate School
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Cognitive biases can move opinion dynamics from consensus to chaos
ORAL
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Presenters
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Emily Dong
Scripps College
Authors
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Sarah Marzen
Scripps, Pitzer & CMC
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Emily Dong
Scripps College
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Dynamics of Innovation: From Particles to Ideas
ORAL
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Presenters
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Carlo R daCunha
Northern Arizona University
Authors
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Carlo R daCunha
Northern Arizona University
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Guilherme S Giardini
Northern Arizona University
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John F Hardy
Northern Arizona University
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Is groundbreaking research controversial during peer review?
ORAL
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Presenters
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Manolis Antonoyiannakis
(1) American Physical Society (2) Columbia University
Authors
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Manolis Antonoyiannakis
(1) American Physical Society (2) Columbia University
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Understanding the scaling of social organizations using Reddit
ORAL
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Presenters
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Anna B Stephenson
Princeton University
Authors
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Anna B Stephenson
Princeton University
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Guillaume M Falmagne
Princeton University
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Simon A Levin
Princeton University
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Learning about early warning signals and the structure of collaborations with a large-scale experiment on Reddit
ORAL
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Publication: Paper in preparation: Learning early warning signals with a large-scale online experiment
Poster at Collective Intelligence Symposium 2023 at Santa Fe Institute: https://sfi-edu.s3.amazonaws.com/sfi-edu/production/uploads/ckeditor/2023/06/28/sfi_poster-falmagne-stephenson_s5nDFT7.pdfPresenters
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Guillaume M Falmagne
Princeton University
Authors
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Guillaume M Falmagne
Princeton University
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Anna B Stephenson
Princeton University
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Simon A Levin
Princeton University
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Humans efficiently predict in a sequence learning task
ORAL
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Presenters
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Amy Yu
Scripps College
Authors
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Sarah Marzen
Scripps, Pitzer & CMC
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Vanessa Ferdinand
University of Melbourne
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Amy Yu
Scripps College
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Physicalization of Social Experiments: Harnessing Large Language Models for Automated Exploration of Emergent Behaviors in Simulated Social Systems
ORAL
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Presenters
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Kehang Zhu
Harvard University
Authors
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Kehang Zhu
Harvard University
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Benjamin Manning
MIT
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John Horton
MIT
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The impact of bias on the accuracy of early and late deciders in groups
ORAL
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Publication: SD Lawley, S Linn, BR Karamched, ZP Kilpatrick, and K Josic, Fast decisions reflect biases, slow decisions do not. In preparation.
S Linn and SD Lawley, Extreme hitting probabilities for diffusion. Journal of Physics A: Mathematical and Theoretical, 55(34):345002, 2022.Presenters
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Samantha Linn
University of Utah
Authors
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Samantha Linn
University of Utah
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Sean D Lawley
University of Utah
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Bhargav R Karamched
Florida State University
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Zachary Kilpatrick
University of Colorado, Boulder
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Kreso Josic
University of Houston
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Musical rhythm and meter as an ordered phase of sound
ORAL
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Presenters
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Jesse A Berezovsky
Case Western Reserve University
Authors
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Jesse A Berezovsky
Case Western Reserve University
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Robert St. Clair
Case Western Reserve University
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Extreme outbreak statistics in stochastic populations: large and small fluctuations
ORAL
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Publication: Outbreak Size Distribution in Stochastic Epidemic Models, J Hindes, M Assaf, IB Schwartz Physical Review Letters (Editor's suggestion) 128 (7), 078301
Outbreak-size distributions under fluctuating rates J Hindes, L Mier-y-Teran-Romero, IB Schwartz, M Assaf, arXiv preprint arXiv:2308.13439Presenters
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Ira B Schwartz
United States Naval Research Laboratory
Authors
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Ira B Schwartz
United States Naval Research Laboratory
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Michael Assaf
Hebrew University of Jerusalem
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jason hindes
US Naval Research Laboratory
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