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.
You will work on a project, funded by the European Research Council, called Data Assimilation for Agent-Based Models (DUST). The project is developing agent-based computer simulations that can be used to model social phenomena – such as disease spread, traffic congestion, or crowding in busy public places – in real-time, with the aim of providing valuable, up-to-date information to decision makers. Agent-based modelling is an ideal methodology for this type of simulation but has rarely been[...]
This postdoc will work with all collaborators under the direction of Dr. Pat Zollner to develop an Agent Based Model of the behaviors of cage free chickens. This work will be informed by extensive empirical work and will use ODD & TRACE for documentation to compare alternative cage free housing systems based on chicken welfare and laying of eggs outside nest boxes. Work will incorporate perspectives from industry as well as interested non-governmental organizations.
Objective: to understand, from models confronted with empirical data, how individuals’ opinions and preferences interact with the structuring of social networks and groups to generate collective behaviors and social dynamics. Keywords: computational social science, opinion dynamics, complex systems modeling, web-mining & deep learning, cognitive science. Abstract: The formal modeling of social phenomena has known several interdisciplinary contributions since the founding work of John Nash[...]