Data For Good Project: Cost Overruns in City Capital Improvement Projects
Town+Gown is a city-wide university-community partnership program based in the New York City Department of Design and Construction (DDC). Under Town+Gown’s organization, student researchers from Columbia Data Science Institute are brought to utilize their academic knowledge in the built environment of New York City. Town+Gown aims to deliver evidence-based analysis of New York City, which acts as a laboratory for practitioners, and make changes in practices and policies based on research results.
Currently student researchers from Columbia Data Science Institute joined Town+Gown in exploring the systemic drivers of cost overruns and schedule delays in constructions as well as identifying project management drivers. This project is split into three phases with Phase 1 focusing on expanding data analysis of city-wide capital project data. Phase 2 brings in agency project management data for projects in city-wide data to add observations to Phase 1. Eventually, Phase 3 requires researchers to look more into the significant metrics and conduct analysis on them to reach a conclusion for the objective.
This is project is NOT accepting applications.
- Terri Matthews. Terri Matthews is the director of the NYC Department of Design and Construction’s Town+Gown partnership. As the City’s primary capital construction project manager, the DDC builds many of the civic facilities New Yorkers use every day, providing communities with new or renovated structures such as firehouses, libraries, police precincts, courthouses, senior centers and more. To successfully manage the DDC portfolio, they collaborate with other City agencies, as well as with emerging and world-renowned architects and consultants.
- Earliest starting date: 10/01/2019
- End date: 12/20/2019
- Number of hours per week of research expected during Spring 2019: ~6-8, ~10 for coordinator
- Project is ongoing and will be reviewed for future directions at the end of the semester
- Skill sets: familiarity with statistical modeling concepts
- Student eligibility: freshman, sophomore, junior, senior, master’s
- For coordinator position, international students on F1 or J1 visa: eligible