This project was initiated in January 2018 at Williams college with the goal of gaining a data-based insight into the lived experience of minority students on campus. The data used for this analysis was merged from several different sources and its scope extends beyond the information showcased in this presentation.
The first main data source for the project was housing rosters available from the Williams Housing portal. These rosters, one for each building, contain names and genders of students, room numbers and room types. The portal only contains information for the current school year, therefore, the rosters were collected once in January 2018 for the 2017-2018 school year and again in April 2018 for the 2018-2019 school year.
The other source of information used was archived first-year student directories. These contain student names, pictures and first-year housing assignments. The final missing piece is gathering information of student race. While self reported data is available to the college, this information was not shared with the project. As an alternative, a facial recognition AI was used to infer race from the already obtained pictures.
This collected data was then merged by name to obtain a list containing student names, race, class year, first-year room, 2017 room and 2018 room. Care was taken during data preparation for this presentation to protect student privacy.
The methodology used to invesitgate social interactions in this project can be extended to explore additional dimensions beyond race. How do students from different athletic teams, majors and economic classes interact on campus? Furthermore, this analysis can be done at different levels of granularity, from looking at roommate pairings, building regions and floors to entire neighbourhoods. Each of these layers would give access to another facet of diverse interactions in the campus community.
More information about diversity at Williams, including institutional reports, can be found here.