Complex Systems Studies
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Complex Systems Studies
Offre-de-these.pdf
Interdisciplinary PhD in Cognitive and Network science at Aix-Marseille University
⭕️ PhD position open, "Temporal networks: from network theory to brain science"

http://doc2amu.univ-amu.fr/en/temporal-networks-from-network-theory-to-brain-science
http://www.biophysics.org/2017mexico/Home/tabid/6979/Default.aspx
Emerging Concepts in Ion Channel Biophysics
October 10 - 13, 2017
Mexico City, Mexico
🔹 Teaching epidemiologists to code.
http://www.episkills.com/
⚔️ 💵 ♦️Game Theory I - Static Games
Lead instructor: Justin Grana

🔗 https://www.complexityexplorer.org/tutorials/69-game-theory-i-static-games


⚡️ About the Tutorial:
Game theory is the standard quantitative tool for analyzing the interactions of multiple decision makers. Its applications extend to economics, biology, engineering and even cyber security. Furthermore, many complex systems involve multiple decision makers and thus a full analysis of such systems necessitates the tools of game theory. This course is designed to provide a high-level introduction to static, non-cooperative game theory. The main goal of this course is to introduce students to the idea of a Nash Equilibrium and how the Nash Equilibrium solution concept can be applied to a number of scenarios. Students are assumed to be familiar with the concept of expected value and the basics of probability. While calculus is not required for the majority of the course, lesson 7 focuses on an example that employs calculus. However, lesson 7 can be skipped without any harm in understanding lessons 8 − 10.
SICC - Italian Society for Chaos and Complexity http://www.sicc-it.org/en/
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Rank diversity: Learning how teams and players stack up and why