ASSOCC – Agent-based Social Simulation of the Coronavirus Crisis
Understanding the effectiveness of containment policy responses to the coronavirus pandemic by social simulation and social reporting.
The coronavirus pandemic is the biggest crisis in a generation. In their efforts to limit the spread of the virus, decision makers are struggling to balance their responses to the health situation with the needs of societies and economies. The interactions are complex and highly contextual and short-term steps can have large long-term consequences.
The ASSOCC framework provides a tool to experiment and evaluate possible interventions and their combined effects, in a simulated controlled world. It does not reflect any real place or situation, and it does not make predictions. The purpose is to help explore possible different paths ahead of this pandemic.
The book
Results and Lessons from Simulating the COVID-19 Crisis. Explores which issues to cover when doing social simulation for a crisis
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About the project
Start date: 16 March 2020
This is a non-funded project. All researchers are contributing their time and expertise for free.
ASSOCC by simassocc.org is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Based on a work at github.com/lvanhee/COVID-sim released under GNU General Public License
Disclaimer
All results are experimental and hypothetical. The ASSOCC framework does not offer any guarantee as to the correctness, functionality, validity or continuity of the models, data, assumptions or simulations of the ASSOCC framework.
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