Building Reusable Foodware Networks | DSI +

Containers from take-out food orders contribute significantly to growing plastic waste that is harming locally and around the globe while also contributing to climate change. Perpetual, an organization developing a system for reusing take-out food containers, is working to combat this in communities across the United States. However, they are facing challenges due to unoptimized routes for the picking up of used foodware to be cleaned and redistributed to restaurants. That's why Data Science Clinic students Anuj Agarwal, John Christenson, Kaiwen Dong, and Lydia Lo collaborated with Perpetual to to help optimize their routes using data science, bringing the mission of perpetual within reach.
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.uc...
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