Data for Good seminars address societal challenges and bring humanistic perspectives to science and technology.
Mayank Varia, Associate Professor, Rafik B. Hariri Institute for Computing and Computational Science & Engineering, Boston University; and Co-Director of the Center for Reliable Information Systems & Cyber Security (RISCS)
March 22, 2022 (3:00 PM – 4:00 PM ET) – Online Event
Cybersecurity Center, Columbia Data Science Institute
Barnard Computer Science
Title: Data Science Without Data
Abstract: In a data-driven society, cryptography offers the promise of allowing data scientists to work with data that they cannot see. In this talk, I will present research on cryptographically protected data science and its social, legal, and public policy impacts. I will describe the design of scalable and flexible systems for protecting data analysis, as well as the deployment of empowering and equitable systems for specific analytics that benefit society while respecting personal privacy.
Bio: Mayank Varia, Research Associate Professor and Co-Director for the RISCS Center, leads the NSF Frontier MACS project. Prior to joining BU, he worked for four years at MIT Lincoln Laboratory. At MIT Lincoln Lab, he designed and evaluated high performance privacy-enhancing data search technology, created information theoretic metrics to quantify privacy, and developed algorithms to capture linguistic provenance automatically.
Columbia Data Science Event Website: https://datascience.columbia.edu/event/data-for-good-seminar-mayank-varia-boston-university/