The Network for Computational Modeling in Social and Ecological Sciences (CoMSES Net), which acts as an international clearinghouse for computer models and a place where modelers can share their work, could play a vital role in understanding the spread of the coronavirus and possibly be used to help find pathways to reduce its impact.
CoMSES Net, which is administered by Arizona State University, links a global network of thousands of scientists who are developing computer models that are used to understand the disease and its spread.
There are so many people worldwide now making models about coronavirus and its impacts," said C. Michael Barton, director of the Center for Social Dynamics & Complexity and a professor in ASU's School of Human Evolution & Social Change. "The best way to ensure that we have effective models for projecting the course of the pandemic and limiting its impact is if scientists can scrutinize the assumptions and algorithms of models and suggest corrections or improvement. Model code must be openly accessible for this to be possible.
CoMSES Net provides a digital platform for sharing the model's code and we want to make sure other scientists and computer modelers are aware of it. This is really a very critical time for us to share these models and work together to improve upon them." Michael Barton, director of the Center for Social Dynamics & Complexity and a professor in ASU's School of Human Evolution & Social Change
Barton said the network, first set up in 2009, is truly an international collaboration - it is hosted at Compute Canada (a Canadian consortium for advanced computing), funded by the U.S. National Science Foundation and administered by ASU. It includes social, ecological and environmental models focusing on the complex interactions among people and with the environment. These models could become critical technologies in the fight against the spread of COVID-19 and its social and economic fallouts. Related Stories
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