Seojin Oh
Industrial engineering
Hometown: Chandler, Arizona, US
Graduation date: Spring 2028
Additional details: Honors student
FURI | Fall 2026, Needs Review
Systems Analysis of AI Data Center Growth and Food Insecurity
This project examines how the expansion of artificial intelligence (AI) data centers in Arizona affects residential utility burden and household food insecurity. Using econometric and spatial data analysis, the research is expected to show that data center growth raises electricity and water bills, reducing the money available for healthy food, with the greatest effects on lower-income communities. The project does not aim to stop AI data center development. Instead, it aims to support better-informed decision-making by providing policymakers, utility companies, and communities with clearer evidence of how costs are distributed. These findings can inform fairer cost sharing and protect vulnerable households. Future work will develop an optimization model that recommends data center locations minimizing social costs for surrounding communities.
Mentor: Deniz Karakoc
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