Community Events

Taught by Prof. Dr. Petra Ahrweiler (Mainz University; president of ESSA) and Dr. Corinna Elsenbroich (Glasgow University), the course “Policy Modelling” focuses on the substantive problems, theories, and related computational models in a number of core areas of policy modelling. Participants learn to bridge the gap between policy practice and formal models by applying complexity-sensitive computational methods (especially agent-based modelling) using Netlogo and Python.

MABS 2022 – The 23rd Multi-Agent-Based Simulation Workshop
hosted at AAMAS 2022 (Auckland, New Zealand)
May 9-10, 2022
(Extended deadline: Feb 6, 2022)

Website: https://mabsworkshop.github.io/

The International Conference on Complex Networks and their Applications aims at bringing together researchers from different scientific communities working on areas related to complex networks. T[…]

SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study co[…]

Join an AnyLogic webinar to learn how a mass COVID-19 drive-through vaccination simulation was developed and applied in the real world.

Ninth International Conference on Complex Networks & Their Applications

Madrid, Spain December 1- 3, 2020

http://www.complexnetworks.org

You are cordially invited to submit your contribution […]

SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study com[…]

SBP-BRiMS 2019
2019 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation

July 9-12, 2019,
Lehman Audi[…]

We cordially invite junior researchers to apply for
Computational Social Science Summer School on Migration
June 10-21, 2019
Sardinia, Italy

The computational social science (CSS) summer schools[…]

The GeoSim ’18 workshop focuses on all aspects of simulation as a general paradigm to model and predict spatial systems and generate spatial data. New simulation methodologies and frameworks, not necessarily coming from the SIGSPATIAL community, are encouraged to participate. Also, this workshop is of interest to everyone who works with spatial data.