Briana Vecchione is a technical researcher with Data & Society’s Algorithmic Impact Methods Lab (AIMLab). Her research addresses issues of auditing and accountability in algorithmic systems, social justice, participatory roots, and policy implications. Briana’s dissertation addresses some of the normative and practical challenges of doing audits thoughtfully and effectively — specifically, by identifying what audits can and cannot demonstrate, the difficulties of applying auditing methods to unique use cases, and the tools and resources that can help support auditors in conducting thorough and consequential evaluations. Her work has been supported by a Facebook Fellowship, Google Women Techmakers scholarship, and grants from the MacArthur Foundation, Mozilla Foundation, and the Notre Dame-IBM Tech Ethics Lab. She earned her PhD in information science from Cornell University.