Data and AI

Responsibly harnessing the power of big data and machine learning to improve lives

We are witnessing a new technological revolution. Massive advances—from efficiently harnessing big data to developing large language models—offer the chance to unlock new understanding.

Research, business, and other industries can now achieve breakthroughs, build predictive models, and uncover new insights. Organizations and communities can make more informed decisions for enhanced productivity and quality of life.

At the same time, AI is advancing rapidly—potentially outpacing society’s ability to anticipate and address its challenges. To address this concern, Penn is rolling out new programs to lead in data-driven research, teaching, and applications—and providing expertise on how society can guide the ethical development and use of these powerful technologies.

The following giving areas offer donors the opportunity to advance data science innovations at Penn.


AI at Penn

AI at Penn unites researchers across engineering, health, science, business, and the humanities to develop and apply AI in transformative ways. Through interdisciplinary collaboration, Penn is pioneering AI research in areas such as healthcare, ethics, social impact, and autonomous systems, ensuring these technologies are both innovative and responsible. The initiative also strengthens AI education, equipping students with the knowledge and skills to shape the future of AI-driven industries while addressing societal challenges.

To learn more, please contact:
Development & Alumni Relations
(215) 898-5000


Amy Gutmann Hall

An exterior view of Amy Gutmann Hall, a modern, multi-story building with a striking architectural design featuring glass panels and black vertical slats on the upper facade, supported by angled steel beams and a brick base.

Amy Gutmann Hall is Penn’s new home for AI and data science, bringing together scholars in fields spanning engineering, social science, and medicine. Housing spaces for both research and teaching, Amy Gutmann Hall supports pioneering, interdisciplinary study, and training the next generation of scholars to innovate using AI and data science for the betterment of humanity. Flexible, hybrid learning facilities also enhance Penn Engineering’s educational and community outreach programs, increasing access to AI and data science instruction while addressing inequities in STEM fields.

To learn more, please contact:
Vanessa White
Vice Dean for Development & Alumni Relations, Penn Engineering
(215) 898-6564

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Wharton AI & Analytics Initiative

Wharton’s analytic approach to business education has been energized in the era of AI. The School strives to meet student demand with its increasingly popular business analytics concentration and major, along with more than 30 courses. Wharton AI & Analytics brings together eight interdisciplinary programs to generate cutting-edge research and inform the world of business. Numerous projects using vast amounts of digital, numerical, and text-based data are underway and can expand with greater philanthropic support.

To learn more, please contact:
Bill Bole
Chief Advancement Officer, The Wharton School
(215) 898-9692

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Data-Driven Discovery

AI, research, and education are evolving through advances in data science. New techniques from mapping the cosmos, to understanding how humans interact, to illuminating fresh ideas in literature are enriching work across the humanities, social sciences, and natural sciences. Programs like Data Science for Social Good at Penn Arts & Sciences fuel early-stage research, connecting faculty, students, and city or global agencies. Students learn core skills—like coding and statistics—through coursework, boot camps, and more, generating a new kind of expertise and worldview in our future workforce.

To learn more, please contact:
Deb Rhebergen
Vice Dean for Advancement, Penn Arts & Sciences
(215) 898-9942

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