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

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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.
Resources for Computational Modelers

Resources for Modelers
Community curated information on agent based / computational modeling software frameworks, modeling standards, educational materials, and guides to good practice for developing and documenting computational models for reuse and reproducibility.
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.

Featured Models

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Umwelten Ants

Simulates impacts of ants killing colony mates when in conflict with another nest. The murder rate is adjustable, and the environmental change is variable. The colonies employ social learning so knowledge diffusion proceeds if interactions occur.

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Hominin ecodynamics v.1

Biobehavioral interactions between two populations under different movement strategies.

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An Agent-Based Model of Status Construction in Task Focused Groups

The model simulates interactions in small, task focused groups that might lead to the emergence of status beliefs among group members.

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A model of environmental awareness spread and its effect in resource consumption reduction

The model reproduces the spread of environmental awareness among agents and the impact of awareness level of the agents on the consumption of a resource, like energy. An agent is a household with a set of available advanced smart metering functions.

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Ache hunting

Agent-based model of hunting behavior of Ache hunter-gatherers from Paraguay. We evaluate the effect of group size and cooperative hunting

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Artificial Anasazi

Replication of the well known Artificial Anasazi model that simulates the population dynamics between 800 and 1350 in the Long House Valley in Arizona.

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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

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Advanced Computing for Social Change Institute (USA)

Posted by alee - Mon Jan 27 17:09:26 2020

Basic introduction to ABMs with Julia

Posted by mhinsch - Thu Jan 23 10:30:24 2020

Agent-Based Modelling of Urban Systems

Posted by marcojanssen - Wed Jan 22 00:18:56 2020

Dockerizing a NetLogo model in Headless mode

Posted by manuvanegas - Fri Jan 17 18:00:24 2020

Seminar in Maternal Infant Relationship Studies: Neuroscience and Artificial Intelligence

Posted by enver.oruro - Thu Jan 16 19:12:22 2020

Latest Jobs & Appointments

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Postdoctoral Researcher (m/f/x): Modelling honeybees and vitality indicators (3 years)

The aim is to develop new indicators of the vitality of honeybee colonies which inform about how much they are affected by stressors. The project will use data from a new electronic counter of the flight activity of a colony with data from drone-based surveys of flowering plants in the surrounding landscape to inform the agent-based **honeybee model BEEHAVE** (http://beehave-model.net/). BEEHAVE will then be used to develop stress tests for identifying new indicators.

Funded PhD position in Computational Economics

Adaptive resilient economy: responding to shocks under boundedly-rational economic expectations We focus on modeling economy as an adaptive complex system. Heterogeneous economic agents with bounded rationality and imperfect information make decisions and interact with each other giving rise to macroeconomic phenomena. Economies globally become more interconnected and prone to shocks (incl. climate-induced natural hazards). How do networked economies recover and evolve in face of adversities?

Postdoc on Agent-based Modeling of Citizen Science Data

Search: We are looking for a post-doctoral researcher, with a strong social science background and previous experience in agent-based modeling, to join our interdisciplinary team that aims to be[...]

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