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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.
At CoMSES.Net, we are seeing a growing number of models using GAMA. This is a great opportunity to present some of your works and learn more about GAMA modelling. The event is hosted online by Unit for Mathematical and Computer Modeling of Complex Systems, France (UMMISC).
The conference focuses on sustainability scholarship and practice around 3 themes and 12 topical areas: Supply chains; Food; Climate and Carbon; Energy; Water; Land; Mobility; Markets and Governance; Technology; Biodiversity; Environmental Justice; and Human Health and Wellbeing.
Annual conference of the Computational Social Science Society of the Americas
The 13th International Conference on Complex Networks & Their Applications will be hosted in Instanbul, Turkey between 10th - 12th December 2024. The event is currently calling for submissions of research from a wide variety of research areas that may be of interest to CoMSES.Net members.
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.
Intro to Agent Based Modeling classes being planned by University of Milan
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.
In the mentioned context, the Life-Cycle Thinking for Complex-Systems Initiative brings a webinar in which we will have three presentations that are meant to provide an introductory view of the characteristics, benefits, and challenges of using ABM as a complexity-oriented approach in combination with LCA. The presentations will be given by three experienced researchers in the field:
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
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