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Adventurously collaborative

forging connections between intellectual capital, industry domain knowledge, and the leading edge of data science and AI; defining intelligence that goes far beyond 1s and 0s.

An epicenter where discipline & expertise collide.

“The Lucy Family Institute is an intellectual and interdisciplinary beacon that produces impactful and equitable data-driven solutions for the good of society.

– Nitesh Chawla, Founding Director

Research & Funding Opportunities

Student Funding Opportunities

Student Funding Opportunities

Student Funding Opportunities
News

Faculty & Affiliate Funding Opportunities

News
Oct 21

The RISE AI Summit Latin America

Location: Santiago, Chile

The RISE AI Summit Latin America
Oct 28

Soc(AI)ety Seminar Series | AI-in-the-Loop for Maternal and Pediatric Health

Location: 138 Debartolo Hall

Soc(AI)ety Seminar Series | AI-in-the-Loop for Maternal and Pediatric Health
Oct 30

Info Session: The Health Data & Analytics Challenge

Location: Zoom

Info Session: The Health Data & Analytics Challenge
Nov 6

Football Fr(AI)days | First Down in Data with Industry Partners

Location: 126 DeBartolo Hall

Football Fr(AI)days | First Down in Data with Industry Partners

Chawla and co-authors receive international award for research with lasting impact on artificial intelligence

Chawla and co-authors receive international award for research with lasting impact on artificial intelligence

Cancer patients with HIV must travel farther than others to access clinical trials

Cancer patients with HIV must travel farther than others to access clinical trials

Notre Dame launches Data, AI, and Computing Initiative to unify emerging technology research, education, and academic services

Notre Dame launches Data, AI, and Computing Initiative to unify emerging technology research, education, and academic services

AI and materials research initiative accelerates breakthroughs in material discovery through machine learning

AI and materials research initiative accelerates breakthroughs in material discovery through machine learning