Purpose of the Winter School
The overall aim of the winter school is that the participants will learn about the opportunities and challenges of agent-based modeling of social-ecological systems. […]
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 […]
Organised by The European Technology Institute
and Sponsored by LAAS-CNRS, INSA, Ghent University, EUROSIS, GODAN, University of Skövde, and the University of Zilina
GIScience 2020 invites contributions from a wide range of disciplines related to geographic information science, such as geography, earth science, cognitive science, information science, computer science, linguistics, mathematics, philosophy, life sciences, and social science. Topics of interest include agent-based modelling, see https://www.giscience.org/. Deadlines are March 16th (full papers) and May 25th (short papers).
Complexity, understood as the emergence of new macro properties from the interactions of basic components, is a pervasive characteristic in natural, artificial and social systems. The Conference […]
SSC2020 is the 16th annual Social Simulation Conference and will take place at the University of Milan, Italy on 14-18 September 2020. The conference is one of the key activities of the European […]
Special Issue of the Springer journal Mind & Society on computational models of human organizational behaviour, meaning behaviour that is not purely individual. Agent-Based Models are welcome.
Please either contact guido.fioretti AT unibo.it, or andrea.ceschi AT univr.it, or andrea.scalco AT abdn.ac.uk.
ESPIn is a 10-day immersive training experience for 25 graduate students, postdoctoral fellows, and/or early career faculty at the CSDMS Integration Facility at the University of Colorado Boulder. ESPIn will offer hands-on training in numerical modeling, best programming practices, open source software development, collaborative coding and version control, Landlab and pymt, high performance computing, and model uncertainty quantification.