About the CoMSES Model Library more info
CoMSES Net maintains cyberinfrastructure to foster FAIR data principles for access to and (re)use of computational models. Model authors can publish their model code in the Computational Model Library with documentation, metadata, and data dependencies and support these FAIR data principles as well as best practices for software citation. Model authors can also request that their model code be peer reviewed to receive a DOI. All users of models published in the library must cite model authors when they use and benefit from their code.
Please check out our model archive tutorial or contact us if you have any questions or concerns about archiving your model.
CoMSES Net also maintains a curated database of over 7500 publications of agent-based and individual based models with additional metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
The Levers of HIV Model
Can Gurkan Wouter Vermeer Arthur Hjorth Uri Wilensky C. Hendricks Brown | Published Tue Mar 8 16:19:04 2022 | Last modified Mon Sep 19 15:20:59 2022Chicago’s demographic, neighborhood, sex risk behaviors, sexual network data, and HIV prevention and treatment cascade information from 2015 were integrated as input to a new agent-based model (ABM) called the Levers-of-HIV-Model (LHM). This LHM, written in NetLogo, forms patterns of sexual relations among Men who have Sex with Men (MSM) based on static traits (race/ethnicity, and age) and dynamic states (sexual relations and practices) that are found in Chicago. LHM’s five modules simulate and count new infections at the two marker years of 2023 and 2030 for a wide range of distinct scenarios or levers, in which the levels of PrEP and ART linkage to care, retention, and adherence or viral load are increased over time from the 2015 baseline levels.
Mobility, Ethnicity, and Language-Based Immigrant Settlement Model - MELBIS
Liliana Perez Suzana Dragicevic Taylor Anderson Jonathan Gaudreau Aaron Leung | Published Mon Jun 14 18:40:41 2021 | Last modified Mon Jun 14 20:07:19 2021MELBIS-V1 is a spatially explicit agent-based model that allows the geospatial simulation of the decision-making process of newcomers arriving in the bilingual cities and boroughs of the island of Montreal, Quebec in CANADA, and the resulting urban segregation spatial patterns. The model was implemented in NetLogo, using geospatial raster datasets of 120m spatial resolution.
MELBIS-V2 enhances MELBIS-V1 to implement and simulate the decision-making processes of incoming immigrants, and to analyze the resulting spatial patterns of segregation as immigrants arrive and settle in various cities in Canada. The arrival and segregation of immigrants is modeled with MELBIS-V2 and compared for three major Canadian immigration gateways, including the City of Toronto, Metro Vancouver, and the City of Calgary.
EthnoCultural Tag model (ECT)
David Hales Bruce Edmonds | Published Fri Oct 16 13:26:37 2015 | Last modified Wed May 9 10:04:58 2018Captures interplay between fixed ethnic markers and culturally evolved tags in the evolution of cooperation and ethnocentrism. Agents evolve cultural tags, behavioural game strategies and in-group definitions. Ethnic markers are fixed.
Shared Norms and the Evolution of Ethnic Markers
Nathan Rollins | Published Fri Jan 22 17:35:22 2010 | Last modified Sat Apr 27 20:18:45 2013The publication and mathematical model upon which this ABM is based shows one mechanism that can lead to stable behavioral and cultural traits between groups.
Affinity/Hostility in Divided Communities
Christopher Thron | Published Fri Jan 22 16:49:17 2016Agent-based model of intergroup conflict in divided communities.
A Complex Model of Voter Turnout
Bruce Edmonds Laurence Lessard-Phillips Ed Fieldhouse | Published Mon Oct 13 09:35:26 2014 | Last modified Tue Aug 18 15:20:53 2015This is a complex “Data Integration Model”, following a “KIDS” rather than a “KISS” methodology - guided by the available evidence. It looks at the complex mix of social processes that may determine why people vote or not.
PSMED - Patagonia Simple Model of Ethnic Differentiation
Joan A Barceló J A Cuesta Florencia Del Castillo Ricardo Del Olmo José M Galán Laura Mameli Francisco J Miguel David Poza José I Santos Xavier Vilà | Published Tue Dec 10 08:41:20 2013Patagonia PSMED is an agent-based model designed to study a simple case of Evolution of Ethnic Differentiation. It replicates how can hunter-gatherer societies evolve and built cultural identities as a consequence of the way they interacted.
We propose here a computational model of school segregation that is aligned with a corresponding Schelling-type model of residential segregation. To adapt the model for application to school segregation, we move beyond previous work by combining two preference arguments in modeling parents’ school choice, preferences for the ethnic composition of a school and preferences for minimizing the travelling distance to the school.