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DySoC/NIMBioS Seminar Series

DySoC and NIMBioS are hosting a series of seminars on topics related to social complexity. Monthly seminars will be held at NIMBioS in Room 206, Claxton Building, 1122 Volunteer Blvd. Light refreshments will be served in Room 205 beginning 30 minutes before each talk. Faculty and students from across the UT community are welcome to join us.

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Watch seminar online. This seminar was streamed live. Live-streamed seminars are archived for later viewing on NIMBIoS' YouTube channel.

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Speaker: Dr. Sergey Gavrilets, EEB, Mathematics, NIMBioS, UTK; DySoC Director; Anthropology, Oxford Univ.

Time/Date: Monday, October 15, 2018, 3:30 p.m.*

Location: Room 206, Claxton Building, 1122 Volunteer Blvd.

Topic: Modeling the evolutionary origins and dynamics of social complexity

Abstract: It is now well recognized that understanding modern human behavior, psychology, culture, and certain economic and political processes is hardly possible without also considering factors and processes that were shaping our recent evolution. Deciphering the problems of human origins and subsequent social and cultural evolution requires a concerted effort of researchers from a diverse set of disciplines including biology, anthropology, psychology, economics, and history as well as mathematics and computational science. If we, as scientists, are successful in this endeavor, the societal impact will be enormous. I will illustrate some of my recent modeling work in this area. I will consider the collective action problem in heterogeneous groups, effects of identify fusion on self-sacrifice, the evolution of social norm internalization, and the joint dynamics of power inequality and cooperation.

*Join us for refreshments at 3 p.m.

Seminar Flyer (pdf)

For more information about this and other NIMBioS Seminars, visit

1122 Volunteer Blvd., Suite 106
University of Tennessee
Knoxville, TN 37996-3410
PH: (865) 974-9334
FAX: (865) 974-9300
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NSF logo. NIMBioS is supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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