Using Big Data to Measure City Innovation Capacity

Using big data and web scraping techniques, this project developed a dashboard that provides reliable, up-to-date, and comparable data necessary to understand and inform policy decisions that affect start-ups. Read the full case study here.

Leveraging Big Data to Help Competition Agencies Tackle Anticompetitive Behavior

Using machine learning and web-scraping techniques, this project develops a database of key decisions by competition authorities, which would serve as an essential infrastructure for future visualization, analyses, and identification of anticompetitive behavior. Read the full case study here.

Using Geospatial Data to Track Changes in Urbanization

Analysis of earth observation (EO) data from satellites can help track and understand urban transformation— including distribution and density of urban sprawl, changes in land use, and the growth rate of built-up areas. Read the full case study here.

Using Data from Mobile Phones to Measure Access to Opportunity in Haiti

Through analysis of call detail records, this project identifies key intra-city connectivity challenges, producing an employment accessibility analysis for Port-au-Prince and Cap-Haitien and identifying major bottlenecks and possible interventions, like infrastructure, re-zoning, and other mechanism to promote inclusive employment.