This web application is one component of a practicum project completed for the Masters of Urban Spatial Analytics (MUSA) Program at the University of Pennsylvania.
MUSA Practicum is a semester-long, public sector-focused data science project that MUSA students implement for a real-world client with the goals of simultaneously
gaining professional skills and helping local and state governments around the country with their data-related issues.
RATScreener is a MUSA Practicum project implemented in Spring 2023 by Henry Feinstein, Kate Tanabe, and Shengao Yi on behalf of The Lab @ D.C., a data science office
housed within Washington, D.C.'s Office of the City Administrator. The project aims to create a predictive screening tool to help city vermin inspectors prioritize the
many 311 service requests for rat inspection and extermination that the city receives each day. This online tool is designed for inspectors to be able to visualize the
most recent 311 service requests by the predicted risk of rat infestation based on the environmental and historical attributes of the request location. For a more in-depth
technical overview of the predictive model, see the accompanying report linked here.