Project Details

From June 7-11, 2021, ETH Computational Social Science and UZH Sociology hold a workshop that aims to bring together various strands of game theory research spanning social sciences and computer science, with focus on evolutionary game theory, algorithmic game theory, learning in games, and dynamics more generally.

The sessions are daily during the week from 9:15 until 11:45. Due to the ongoing pandemic, the entire course will take place online via Zoom. Log-in details will be shared directly with registered participants via ETH eDoz closer to date.

The program features leaders in the field including Urs Fischbacher, Dirk Helbing and Manfred Milinski. The preliminary program is as follows:

Day 1: General introduction to the course

• Talk 1: Heinrich Nax (see https://nax.science/ ); a general introduction to the course, providing some basic elements of game theory that will appear repeatedly during the course including definitions of public goods games, coordination games, etc.
• Talk 2: Dirk Helbing (see https://coss.ethz.ch/people/helbing.html ); dynamics, complex systems, and applications including coordination games, pedestrians and crowds, traffic and logistics.

Day 2: Dynamics of social interactions

• Talk 1: Heiko Rauhut (see https://www.suz.uzh.ch/de/institut/professuren/rauhut.html ); social preferences, measurements.
• Talk 2: Urs Fischbacher (see https://www.wiwi.uni-konstanz.de/fischbacher/members/urs-fischbacher/ ); applications

Day 3: Evolutionary game theory

• Talk 1: Dirk Helbing; evolutionary game theory, evolution of cooperation, evolution of preferences
• Talk 2: Manfred Milinski (see https://www.evolbio.mpg.de/person/12050/15664 ); reciprocity

Day 4: Learning in Games

• Talk 1: Heinrich Nax; dynamic best response, learning, stochastic evolutionary game theory
• Talk 2: Alexandros Rigos (see http://www.alexrigos.com/ ); imitation, experiments

Day 5: Algorithmic game theory

• Talk 1: Bary Pradelski (see https://barypradelski.com/ ); algorithmic game theory, matching theory
• Talk 2: Heinrich Nax; behavioral mechanism design, complexity of Nash equilibrium

For general course information, see https://coss.ethz.ch/education/controversies.html.