Programs

The Data, AI, and Computing Initiative offers a dynamic portfolio of training and workshop opportunities designed to build technical expertise, foster interdisciplinary collaboration, and deepen understanding of the societal impact of emerging technologies.

Nine smiling students in navy 'TREDS' shirts and a woman in pink pants stand before a Notre Dame Basilica banner.

iTREDS

The Interdisciplinary Training and Research for Ethical Data Science (iTREDS) program is offered to undergraduate students by the Lucy Family Institute for Data & Society. iTREDS Scholars gain rigorous training in data science while critically examining its ethical, social, and policy dimensions. The program is rooted in the belief that data scientists must not only develop technical expertise but also engage deeply with the societal impacts of their work.
Two men look at a laptop screen. One in a grey shirt with glasses has clasped hands; the bearded man uses the touchpad.

LAITL

Notre Dame Learning’s Lab for AI in Teaching and Learning (LAITL) focuses on advancing AI literacy in education and exploring AI-driven teaching and learning innovation.
Notre Dame students collaborate and study on laptops at white tables. A smiling student in a blue ND jacket talks with another in a green jacket.

NSF ExLENT Data Crossings

Experiential Learning for Emerging and Novel Technologies (ExLENT) Data Crossings is a U.S. National Science Foundation-funded, year-long program designed to broaden participation in data science and artificial intelligence (AI). The initiative is open to college students in the arts, humanities, languages, and social sciences, as well as working professionals who are seeking to expand or pivot their careers.
Man in a tan jacket gestures while speaking to students during the 2026 UPR-ND Winter School for Scientific Artificial Intelligence.

SAI Winter Schools

The SAI Winter School is a three-day immersive opportunity in partnership with the University of Puerto Rico and the Pontificia Universidad Catolica de Chile.