Briana Vecchione is a technical researcher with Data & Society’s Algorithmic Impact Methods Lab (AIMLab), using her quantitative and qualitative expertise to develop and assess methods that evaluate the impact of algorithmic systems, prioritizing the needs and rights of affected communities. She focuses on ensuring accountability in algorithms, emphasizing social justice, participatory methods, and policy impacts.

Briana earned her PhD in information science from Cornell University. Her work has been supported by a Facebook Fellowship, a Google Women Techmakers scholarship, and grants from the MacArthur Foundation, Mozilla Foundation, and the Notre Dame–IBM Tech Ethics Lab.