Community Events

This workshop explores the intersection of Agent-Based Modeling, Complex Networks, and High-Performance Computing for large-scale systems. It includes talks, a panel, posters, and a hands-on course on Vahana.jl. Aimed at researchers and students in complex systems and related fields. Speakers from various universities will present. Free participation with registration; poster abstracts due November 10th.

This event aims to discuss advances in infant attachment and the mother-infant relationship at the neural and behavioral scales, combining experimental data with computational models from a complex systems approach. Challenges related to this integration will be presented at the end of the event.

The International Symposium on Computational Social Sciences will be held virtually from October 14 to October 18, 2024. This event will bring together scholars, researchers, and professionals from various disciplines to explore the advancements and applications of computational social sciences.

Spatial and temporal thinking is important not just because everything happens at some places and at some time, but because knowing where and when things are happening is key to understanding how and why they happened or will happen. Spatial data science is concerned with the representation, modeling, and simulation of spatial processes, as well as with the publication, retrieval, reuse, integration, and analysis of such space- and place-centric data.

Annual conference of the Computational Social Science Society of the Americas

The College of Agriculture and Natural Resources at Michigan State University is excited and honored to host the International Congress on Environmental Modelling & Software in 2024.

The 19th annual Social Simulation Conference (SSC 2024) will take place from 16th to 20th September 2024 at the Cracow University of Economics, Poland. The conference will be hybrid, allowing participation on-site and online possible.

A 2-week training course to gain a modelling culture and learn the different skills required for building agent-based models (ABM) applied to sociological, ecological or socio-ecological systems, with a focus on participatory modelling

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.

Applications are open for the 2024 ESIIL Innovation Summit