Opportunities for current and future tech changemakers
Our volunteers and interns make invaluable contributions to our projects and initiatives, driving positive change in our community.
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Data for Societal
Good 2025
Food Bank Project
San Diego
Food Bank Volunteering
Data Discourse
- April 16, 2025
Join our community
Our workshops, panel discussions, and mixers offer a welcoming space for all data enthusiasts to learn and connect.
Attend an event
By the Numbers
Our work is rooted in a core belief: Data and AI should be used to help, not harm people. In 2025, this came to life in classrooms, libraries, community centers, and senior living homes.
With your help, we launched new initiatives, expanded our reach, and mentored more student interns and volunteers. Through workshops, events, and community partnerships, we addressed pressing challenges like homelessness, food insecurity, and AI literacy, making data more accessible, understandable, and actionable.
Read the 2025Annual Impact Report
food bank
“Using the [dashboard] allows us to more clearly explain the scope and magnitude of food insecurity from a county level down to a zip code level.” - Bob Kamensky, CEO of Feeding San Diego
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Healthcare Project
We developed a model that predicted potential surgical waste cost savings between 19% and 70% across three specialties: urology, oncology, and colorectal.
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Computer Vision
“[DSAs] insightful feedback and rigorous testing of our prerelease feature provided invaluable customer-focused perspectives, helping us refine the feature ahead of its launch.” - Andy Ballester, Co-founder and CPO of EyePop.ai
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Nonprofit Data
We analyzed demographic data for the Connect Foundation to determine that 53% of startups have women and/or BIPOC in executive leadership roles.
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The Pledge for Responsible Data Science
It's a movement that puts ethics at the heart of innovation. Join hundreds of community members who stand for responsible data science and AI.
515
have already signed the pledge
The Framework for Responsible Data Science
A guide for individuals and organizations in ensuring their data-driven projects are fair, transparent, and accurate while protecting privacy.
Learn more