@article{822fd997bd9f4786a21d69536ea70ad1,
title = "Stewardship of global collective behavior",
abstract = "Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are increasingly structured by emerging communication technologies. Our larger, more complex social networks now transfer high-fidelity information over vast distances at low cost. The digital age and the rise of social media have accelerated changes to our social systems, with poorly understood functional consequences. This gap in our knowledge represents a principal challenge to scientific progress, democracy, and actions to address global crises. We argue that the study of collective behavior must rise to a “crisis discipline” just as medicine, conservation, and climate science have, with a focus on providing actionable insight to policymakers and regulators for the stewardship of social systems.",
keywords = "Collective behavior, Complex systems, Computational social science, Social media",
author = "Bak-Coleman, {Joseph B.} and Mark Alfano and Wolfram Barfuss and Bergstrom, {Carl T.} and Centeno, {Miguel A.} and Couzin, {Iain D.} and Donges, {Jonathan F.} and Mirta Galesic and Gersick, {Andrew S.} and Jennifer Jacquet and Kao, {Albert B.} and Moran, {Rachel E.} and Pawel Romanczuk and Rubenstein, {Daniel I.} and Tombak, {Kaia J.} and {van Bavel}, {Jay J.} and Weber, {Elke U.}",
note = "Funding Information: We acknowledge the generous support of the University of Washington eScience Institute; the Knight Foundation; the University of Washington Center for an Informed Public; and the Princeton–Humboldt partnership, Cooperation and Collective Cognition Network. We further thank Duncan Watts, Joanna Sterling, and the late Henry Horn for invaluable feedback. We further thank Peter Callahan, Paul Larcey, Thayer Patterson, and the Princeton Institute for International and Regional Studies Global Systemic Risk research community at Princeton University for their support and feedback during the early development of the manuscript. A.B.K. acknowledges support from a Baird Scholarship and an Omidyar Fellowship from the Santa Fe Institute. P.R. acknowledges funding by the Deutsche Forschungsgemeinschaft (German Research Foundation) under Germany{\textquoteright}s Excellence Strategy—EXC 2002/1 “Science of Intelligence”—Project 390523135, as well as through the Emmy Noether program, Project RO4766/2-1. I.D.C. acknowledges support from the NSF (IOS-1355061), the Office of Naval Research (N00014-19-1-2556), the Deutsche Forschungsgemeinschaft (German Research Foundation) under Germany{\textquoteright}s Excellence Strategy–EXC 2117-422037984, the Max Planck Society, the Struktur-und Innovations-funds f{\"u}r die Forschung of the State of Baden-W{\"u}rttem-berg, and the Max Planck Society. Funding Information: We acknowledge the generous support of the University of Washington eScience Institute; the Knight Foundation; the University of Washington Center for an Informed Public; and the Princeton-Humboldt partnership, Cooperation and Collective Cognition Network. We further thank Duncan Watts, Joanna Sterling, and the late Henry Horn for invaluable feedback. We further thank Peter Callahan, Paul Larcey, Thayer Patterson, and the Princeton Institute for International and Regional Studies Global Systemic Risk research community at Princeton University for their support and feedback during the early development of the manuscript. A.B.K. acknowledges support from a Baird Scholarship and an Omidyar Fellowship from the Santa Fe Institute. P.R. acknowledges funding by the Deutsche Forschungsgemeinschaft (German Research Foundation) under Germany's Excellence Strategy-EXC 2002/1 ?Science of Intelligence?-Project 390523135, as well as through the Emmy Noether program, Project RO4766/2-1. I.D.C. acknowledges support from the NSF (IOS-1355061), the Office of Naval Research (N00014-19-1-2556), the Deutsche Forschungsgemeinschaft (German Research Foundation) under Germany's Excellence Strategy-EXC 2117-422037984, the Max Planck Society, the Struktur-und Innovations-funds f?r die Forschung of the State of Baden-W?rttemberg, and the Max Planck Society. Publisher Copyright: {\textcopyright} 2021 National Academy of Sciences. All rights reserved.",
year = "2021",
month = jul,
day = "6",
doi = "10.1073/pnas.2025764118",
language = "English (US)",
volume = "118",
journal = "Proceedings of the National Academy of Sciences of the United States of America",
issn = "0027-8424",
publisher = "National Academy of Sciences",
number = "27",
}