Agent-based modeling can be used to simulate any number of complex scenarios, from the evacuation of a city after a natural disaster to the actions of the immune system after a gunshot wound. The Complex Adaptive Systems group at Argonne National Laboratory, led by CI Senior Fellow Chick Macal, is a leader in developing these models, including creating a simulation of the entire city of Chicago to test the spread of MRSA, ebola, and other diseases.
The Data Science for Social Good Summer Fellowship's 2016 Data Fest presented projects addressing problems in education, public health, policy, conservation, international development, social services, policing, and a broad range of other societal issues, proving the potential of data-driven methods for creating positive change.
The new Center for Spatial Data Science joins the Computation Institute and the Social Services Division, bringing advanced spatial analytics methods to fields ranging from economics and urban sociology to medicine and public health. Learn about the center's research collaborations and initiatives in software, training, and developing new methods.