About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models 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 publishing tutorial and contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 5 of 5 results for 'Rebecca Garabed'
Peer reviewed Coupled demographic dynamics of herd and household in pastoral systems
Chelsea E Hunter Daniel C Peart Abigail Buffington Andrew Yoak Ian M Hamilton Mark Moritz | Published Saturday, April 08, 2023This purpose of this model is to understand how the coupled demographic dynamics of herds and households constrain the growth of livestock populations in pastoral systems.
Peer reviewed CHIME ABM of Hurricane Evacuation
Sean Bergin C Michael Barton Joshua Watts Joshua Alland Rebecca Morss | Published Monday, October 18, 2021 | Last modified Tuesday, January 04, 2022The Communicating Hazard Information in the Modern Environment (CHIME) agent-based model (ABM) is a Netlogo program that facilitates the analysis of information flow and protective decisions across space and time during hazardous weather events. CHIME ABM provides a platform for testing hypotheses about collective human responses to weather forecasts and information flow, using empirical data from historical hurricanes. The model uses real world geographical and hurricane data to set the boundaries of the simulation, and it uses historical hurricane forecast information from the National Hurricane Center to initiate forecast information flow to citizen agents in the model.
The relationship between product information quantity and diversity of consumer decisions
Takao Sasaki Marco Janssen David Vaughn Becker Rebecca Neel | Published Tuesday, October 27, 2015We developed an agent-based model to explore underlying mechanisms of behavioral clustering that we observed in human online shopping experiments.
Simulating the Transmission of Foot-And-Mouth Disease Among Mobile Herds in the Far North Region, Cameroon
Hyeyoung Kim Ningchuan Xiao Mark Moritz Rebecca Garabed Laura W Pomeroy | Published Wednesday, April 13, 2016This model simulates movements of mobile pastoralists and their impacts on the transmission of foot-and-mouth disease (FMD) in the Far North Region of Cameroon.
Peer reviewed Family Herd Demography
Abigail Buffington Andrew Yoak Ian M Hamilton Rebecca Garabed Mark Moritz | Published Monday, August 15, 2016 | Last modified Saturday, January 06, 2018The model examines the dynamics of herd growth in African pastoral systems. We used it to examine the role of scale (herd size) stochasticity (in mortality, fertility, and offtake) on herd growth.