Category: Events

Institute Co-Sponsors BU Data + Narrative Workshop

Monday, June 4 – Friday, June 8, 2018 The Data+Narrative Storytelling Workshops at Boston University provide ground-breaking training positions for speakers to engage attendees through powerful data-driven stories. Embarking on it’s fifth successful year training students and professionals from all disciplines, the workshop continues to offer the Digital Badge certification program in Data+Narrative skills. The certification is an […]

Institute Sponsors 5 Student Poster Sessions This May

The Hariri Institute is excited to sponsor student poster sessions and presentations for four courses this semester: Data Mechanics, Computational Fabrication, Mobile App Development, Cyber Physical Systems and Data Science.

BU Cyber Alliance Hosts 5/14 Seminar, Featuring Stephen Chong (Harvard)

12:30 PM – 2:00 PM on Monday, May 14, 2018 BU School of Law (Room 203), 765 Commonwealth Avenue Robot Lawyers: Automating Legal Compliance for Transferring Private Data Stephen Chong Professor, Harvard University Abstract : Legal and regulatory requirements governing the collection, use, and sharing of personal data are complex and often not very well understood by the […]

BU Cyber Alliance Hosts 5/7 Seminar, Featuring John Byers

Please join us for a Cyber Alliance seminar featuring John Byers. Professor John W. Byers joined the BU Department of Computer Science in 1999. His research interests center on data-analytic and algorithmic challenges in two disciplines: the science of computer networking (e.g., transport protocols, network architecture) and the empirical study of Internet platforms (such as Airbnb, Groupon, and Yelp).

Institute Hosts 4/20 DSI Colloquium Featuring Ashwin Machanavajjala

Please join the Hariri Institute for Computing Friday, April 20, 2018 for a DSI Colloquium. The presentation will feature Ashwin Machanavajjhala, an assistant professor in the Department of Computer Science at Duke University. Ashwin will describe aspects of his research on enabling provably private data science.