A growing collection of resources for
computational model-based science.

Community cyberinfrastructure to preserve computational models & their digital context
+ Educational resources and FAQ's on agent based modeling

CoMSES Net is an international network of researchers, educators and professionals with the common goal of improving the way we develop, share, and use agent based modeling in the social and ecological sciences. Learn more
Publish your code

Publish your Code

Preserve the digital artifacts used to derive a publishable finding in an open digital repository that supports discovery and good practices for software citation, reproducibility, and reuse.
Upcoming Events

Upcoming Events

Upcoming conferences, workshops, and events of interest for the computational modeling community. CoMSES also organizes and hosts an annual Virtual Conference every October with a mix of community submitted and invited video presentations.

Our Community

CoMSES Net is dedicated to fostering open and reproducible scientific computation through cyberinfrastructure and community development. We develop and curate resources for model-based science with FAQs and forums for discussions, job postings, and events. We also develop and maintain the CoMSES Computational Model Library, a digital repository for code that supports discovery and good practices for software citation, reproducibility and reuse.

Recent Forum Posts

A Balance Model of Opinion Hyperpolarization

Posted by simonschweighofer - Mon Apr 6 22:50:16 2020

Update: Humboldt State summer agent-based modeling program

Posted by srailsback - Sat Apr 4 21:41:22 2020

Latest Jobs & Appointments

Permanent Research Engineer Position in Trustworthy Multi-Agent Systems

We are looking for a new **permanent** team mate in trustworthy multi-agent systems.

PhD Position: Deep Reinforcement Learning Agents Revealing Uncertainties in Blockchain Systems

The objective of this thesis is to investigate the uncertain constraints of blockchain systems and to propose a deep reinforcement learning decision-making approach based on utility and rewards for both user and block creator agents. The thesis will also contribute to develop and extend the agent-based simulation platform Multi-Agent eXperimenter (MAX) of LICIA.

Fully funded PhD position in Sociology / Computational Modelling on Reconciling Demographic and Epistemic Diversity

We are looking for a PhD candidate to conduct a project on the interface of sociology / computational modelling and philosophy. The project is titled "Reconciling epistemic and demographic divers[...]

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