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NIMBioS Tutorial Agenda, April 25-27, 2016
Game Theoretical Modeling of Evolution in Structured Populations

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Monday, April 25

8:00-8:45 BREAKFAST at NIMBioS
8:45-9:00 Welcome by Suzanne Lenhart, NIMBioS Associate Director for Education & Outreach
9:00-9:30 Introduction of tutors and participants (Organizers: M. Broom J. Rowell, J. Rychtar, J. Van Cleve)
9:30-10:45 Jonathan Rowell: Introduction to game theory
10:45-11:00 COFFEE BREAK
11:00-2:00 Mark Broom: Evolutionary graph theory
12:00-12:05 Group photo
12:05-1:00 LUNCH
1:00-2:00 Mark Broom: General framework
2:00-3:15 Alun Lloyd: Modeling Novel Strategies for Controlling Mosquito-Borne Diseases
3:15-3:30 COFFEE BREAK
3:30-4:00 Jan Rychtar: Territorial raider games and machine learning algorithms
4:00-5:00 Jan Rychtar: Activity - Writing Matlab codes for machine learning and territorial raider games
5:00-6:00 Reception (light snacks provided by NIMBioS)
After 6 DINNER on our own

Tuesday, April 26

8:00-8:45 BREAKFAST at NIMBioS
8:45-10:00 Paulo Shakarian: Diffusion in social networks
10:30-10:45 COFFEE BREAK
10:45-12:00 Sergey Gavrilets: Collective action problem in "us versus nature" and "us versus them" games
12:00-1:00 LUNCH
1:00-3:00 Jeremy Van Cleve: Multilevel selection and population genetics in structured populations
3:00-3:30 COFFEE BREAK
3:30-4:30 Jonathan Rowell: Spatially structured biological games when neither players nor space are discrete
4:30-5:30 Jonathan Rowell: Activity - Writing Matlab codes
After 5:30 DINNER on our own

Wednesday, April 27

8:00-9:00 BREAKFAST at NIMBioS
9:00-10:30 Jan Rychtar: Activity - Writing Matlab codes for machine learning and territorial raider games, part 2
10:30-10:45 COFFEE BREAK
10:45-11:45 Mark Broom: Outlooks, application of the framework
11:45-12:00 Final words and adjure
12:00 Lunch

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From 2008 until early 2021, NIMBioS was 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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