Ideas

HAIL Graduate Awardees Spotlight: Rose Gatfield-Jeffries

Kicking off our HAIL Graduate Awardees Spotlight Series, we have Rose Gatfield-Jeffries (she/her) from the History and Philosophy of Science Department within the Dietrich School of Arts and Sciences. Gatfield-Jeffries, who has spent three years at Pitt and is beginning her dissertation, is interested in the use of AI in scientific research. Specifically, she uses epistemological (differentiating between justified belief or opinion) and ethical lenses when analyzing this use.

Ethicality of Generative Artificial Intelligence in Research

Students: Akarshana Rajesh, Leila Pridotkas, Sanvi Gandikota, Julian Reinstein

Framework for Governing Repository Data in AI Training

Students: Tony Hoang, Rachel Amanor, Ashlee Wood

A new problem that has arisen with AI is deciding what data to use when training new models. The more information and data that a model is trained on, and the more diverse that information is, the more accurate and reliable the model will be. When looking at the problem from this perspective only, it does not sound like much of a problem — use as much data as possible to train a model. But is anything ever that simple?

A Meta-Framework for Frameworks

Students: Elda Solomon, Alisha Sharma

Framework for Archival Work and Digitization

Students: Lillian Carlson, Aishwarya Khrishnamoorthy, Celeste Stokan

Community Engagement in Public Health

Our biggest installment yet of the Participatory Approaches to Data Community of Practice Brownbag Series was held last month in the University Center for Social and Urban Research. Dr. Tina Ndoh, Gabby Gray, and Mariska Goswami built upon the existing conversations within our community of practice by honing in on public health applications of participatory and community engaged work.

Advancing Public Health: Constructing a Response AI Usage Tool for Public Health Education

Students: Emma Camps, Simon Fisher, Fernando Seanez

HAIL Participatory Approaches in Data Brownbag Series

We are pleased to introduce the newest members of the HAIL Graduate Student Awardees Program!

Through this program, the following students have the opportunity to explore the questions: "What does responsible data and AI use and development entail in different disciplines or professions?" and "What individual actions can be taken to practice responsible data and AI use and development?"

More information about the program is available here.

We are proud to announce and showcase the Best Poster Award winners at the 2026 Pitt Data Science and AI Forum Student Poster Session. The presenters of the following posters were awarded a cash and merchandise prize. Congratulations to our award winners and all who submitted posters for a great poster session!

On-Chain Decentralized Learning and Cost-Effective Inference for DeFi Attack Mitigation — Abdulrahman Alhaidari