Preventing Floods with Data Science - DSI + @GOTO2040

UChicago Data Science Institute
UChicago Data Science Institute
45
0
Published 2024-05-24
As climate change progresses, cities such as Chicago will need to prepare for the potential impacts of shifting weather patterns. Cities in the midwestern United States like Chicago are experiencing increased risks of floods as rain storms become more intense as a result of climate change. In order to prepare for this change, the Chicago Metropolitan Agency for Planning (CMAP) is monitoring watersheds and stormwater infrastructure across northeastern Illinois. However, CMAP's data on watersheds and stormwater infrastructure is currently limited. That's why Data Science Clinic students Spencer Ellis, Matthew Rubenstein, and Tamami Tamura collaborated with CMAP to create a more comprehensive data set using a deep learning model.

This project was developed as part of the University of Chicago Data Science Institute's Data Science Clinic

Applied experiential learning is a core component of the DSI educational mission. The Data Science Clinic provides students with projects that transcend the traditional classroom experience. The Clinic is a project-based course where students work in teams as data scientists with real-world clients under the supervision of mentor instructors. To do this we partner with industry, social impact, civic organizations and research groups for 1 or 2 academic quarters on data science projects. As part of their training, students will be tasked with producing key deliverables, such as data analysis, open source software, as well as final client presentations and research reports.

Learn more about the Data Science Clinic - datascience.uchicago.edu/education/data-science-cl…

Follow us on social media!

Twitter (X): twitter.com/DSI_UChicago
Instagram: www.instagram.com/dsi_uchicago/
LinkedIn: www.linkedin.com/company/dsi-uchicago
BlueSky: bsky.app/profile/dsi-uchicago.bsky.social
All Comments (1)