MUSA/Smart Cities Practicum

Project Description

The Master of Urban Spatial Analytics (MUSA) program at the University of Pennsylvania teaches at the intersection of data science & public policy. In the MUSA Practicum, students work with clients to develop data science tools that can help stakeholders better allocate their limited resources. The course is taught by Professor Ken Steif along with co-instructors Michael Fichman & Matthew Harris. Each project below includes a case study and source code that other cities can adopt for the purposes of replication.

Projects 2019

Louisville, KY – Predicting Fire Risk



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Philadelphia, PA - Predicting Illegal Rentals in Philadelphia


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Louisville, KY - WAZIEVILLE: Congestion Prediction Modeling


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Chicago, IL - Scoring AoT Data Reliability



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Guilford County, NC - Recidivism Prediction



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Syracuse, NY - Predicting Building Code Violations



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Projects 2018

Philadelphia, PA – Developing a foreclosure early warning system


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Philadelphia, PA – Quantifying bike share subsidy in low-income neighborhoods


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Louisville, Kentucky - Predicting vehicle crashes with built environment data


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Minneapolis, MN - Predicting household lead risk


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Providence, RI - Siting opioid clinics by predicting opioid overdose events
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