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This workshop introduces agent-based modeling, a method for understanding complex social dynamics by simulating interactions among individual agents. Agent-based modeling allows observing social patterns in computer simulations, enabling students to specify rules for agent behavior. The workshop teaches NetLogo for creating models, enabling students to design, analyze, and visualize social dynamics, incorporating empirical data using statistical tools like R or Python.
Dear Colleague,
The CECAM-Lorentz collaboration calls for scientists who want to organize the eighth annual CECAM-Lorentz Workshop 2022, to be held at CECAM HQ, Lausanne, Switzerland, in the sec[…]
3rd European Symposium on Societal Challenges in Computational Social
Science (Euro CSS).
This year’s focus: Polarization and Radicalization
Venue: ETH Zurich, Switzerland
Dates: September 2-4,[…]
On February 15-16 the Energy Data Hackdays will take place at the Hightech Zentrum Aargau in Brugg. Let’s use energy data to improve our common understanding of energy and work on solutions that contribute to increasing energy efficiency in Switzerland.
Please consider submitting abstracts to the special session on qualitative data and modeling of the Special Interest Group Qual2Rule – Using qualitative data to inform behavioral rules: http://www.ssc2016.cnr.it/sessions/23/essa-special-interest-group- […]
Companion Modelling, or ComMod, is a participatory modelling approach that uses role-playing games and simulation models to tackle complex issues in the fields of renewable resources and environment management. This course is primarily intended for PhD students, post-docs, researchers and […]
Displaying 10 of 19 results switzerland clear