Sarukkai Social Impact Award

The Sarukkai Social Impact Award, established by Sekhar and Rajashree Sarukkai, recognizes the School of Information master’s capstone or final projects with the greatest potential to solve important social problems and improve people’s lives in meaningful ways. Awards are given twice annually in May and December.

During their final semester, I School students in the MIMS, MIDS, 5th Year MIDS, and MICS programs undertake final or capstone projects that cement skills learned throughout their master’s degree program. Teams of students propose and select project ideas, conduct and communicate their work, receive and provide feedback, and deliver compelling final presentations.

Spring 2023

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Egaleco
Allison Fox, Carlie McCleary, Hilsenton Alcee, Rex Pan
Egaleco is focused on fairness evaluations affecting machine learning models in the healthcare sector.

2023

Egaleco
Egaleco: Advancing Fairness in Machine Learning (Product and Policy)
Orissa Rose, Alan Kyle, Mudit Mangal, Gurpreet Kaur Khalsa
Product and policy for Egaleco, a fairness toolkit enabling machine learning practitioners in healthcare to identify bias in their models.
Marti Hearst, Daniel Aranki
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Egaleco: Advancing Fairness in Machine Learning (UX Research and Design)
Han Yang, Mary Grace Reich, Jennifer Chan
UX research + design for Egaleco, a fairness toolkit enabling machine learning practitioners in healthcare to identify bias in their models.
Morgan Ames
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PoliWatch
Matthew Dodd, Connor Yen, Jocelyn Thai, Aditya Shah
Identifying conflicts of interest in the securities transactions of U.S. congressional members to hold congress accountable for insider trading. 

Summer 2022

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OZKi
Antony Halim, Suvojit Basak, Mariah Martinez, Lauren Ayala
Open Zero Knowledge Integration: a zk-SNARK-based proof framework for developing privacy protecting components of a web application.

2022

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Accessibility, Equity, and Resources for Crisis Response
Amanda Kochak, Priyanka Dasgupta, Sarah de la Vega, Nailah Hill
accesSOS is a nonprofit organization that provides emergency response services to those who cannot call 911. Because Text-to-911 services are not available…
Coye Cheshire

Fall 2021

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Methane Anomaly Detector
Chung Sang John Lee, Alyssa Augsburger, Jaclyn Andrews, Shyamkarthik Rameshbabu, Sanjay Saravanan
Methane Anomaly Detector (MAD) utilizes deep learning techniques to identify potential methane emission anomalies in California.

2021

LTBR: Jyen, Sneha, Tiffany & Rachel as Defenders for the Public Good
The Public Defense Project
Rachel Warren, Sneha Chowdhary, Jyen Yiee Wong
The Public Defense Project is partnered with a local non-profit Secure Justice with the…
Niloufar Salehi