Over-crowded sports bars, rowdy Halloweens, and plenty of overheard conversations covering structural oppression to Sartre. Yes, living in a college town has can induce eye-rolls, especially among Boston’s jaded natives. It also has its benefits, as evidenced in the impressive cross-institution collaboration that has resulted in the Boston Area Research Initiative (BARI), a data-driven duet co-conducted by Northeastern and Harvard Universities. BARI describes itself as an “interuniversity partnership that pursues original urban research on the cutting edge of scholarship and public policy, with an emphasis on opportunities created by novel digital data.”
Among its litany of projects, which include improving smart cities, equity in public schools, and segregation and urban mobility, BARI’s researchers have generated the Boston Research Map, a treasure trove of Boston’s public data powered by WorldMap, an open source mappng software developed by the Center for Geographic Analysis at Harvard University. Users can view data at the neighborhood or city levels, and view both contemporary and historical data. Eager to harness the intellectual capital of the college town, the map’s creators have also made it possible for users to upload their own data.
The wide variety of issue areas and associated data sources paint a complex, layered portrait of Boston – destabilizing the myth of a simple college town. Users can view key urban locations such as police stations, colleges and universities, supermarkets, subsidized housing and major developments, and community health centers, all along the MBTA’s subway lines or bike trails.



The Boston Research map isn’t just for the Ivy League; it is a highly usable site with civic utility for residents and data scientists alike, a unique clearinghouse for public data that can be utilized for the purposes of education or advocacy. Users can insert comments on various data points for researchers to take into consideration, and to foster conversation between users about accuracy and include more context or anecdotes to accompany the visualization.
