Narratives and Needs: Analyzing Experiences of Cyclone Amphan Using Twitter Discourse

People often turn to social media to comment upon and share information about major global events. Accordingly, social media is receiving increasing attention as a rich data source for understanding people's social, political and economic experiences …

Reg2Vec: A Spatial Mapping of Economic Regulation

In this study, we use word and document embedding techniques from natural language processing to contextualize policymaking in U.S. federal agencies. We specifically look at a range of agencies responsible for economic regulation and train a model …

Amphan: Analyzing Experiences of Extreme Weather Events using Online Data

Data Science for Social Good, Solve for Good


Developing a word and document embedding model for speeches by the Federal Reserve