Social Physics: Using Enriched Census Data to Build A Better Society
PROJECT HIGHLIGHTS
Using enriched census data we have been able to map behavior inequality across the US, evaluate the effectiveness of contact tracing, and develop policy to improve economic outcomes for neighborhoods around the world.
KEY FINDINGS
Behavioral segregation matters more than residential segregation. Investment in diversity of stores and similar infrastructure can dramatically affect income inequality. Effective quarantine is necessary to fight COVID-19.
RELATED PUBLICATIONS
Modelling the Impact of Testing, Contact Tracing and Household Quarantine on Second Waves of Covid-19, Nature Human Behavior (2020) Economic Outcomes Predicted by Diversity in Cities, EPJ Data Science (2020) http://inequality.media.mit.edu
RESEARCH AREAS
Artificial Intelligence
Computation
Data Science
Machine Learning​
IMPACT AREAS
Big Data
Social Networks
