Workshops on Digital Transformation Science

The Workshops on Digital Transformation Science are deep dives into foundational topics in digital transformation. These multi-day events are intended for researchers, practitioners, policymakers, and others interested in gaining insights and understanding of topics and trends from leading experts and scientists. Information about upcoming workshops is below.

Machine Learning for a Resilient, Secure, Carbon-Free Electricity Supply

June 4, 11 & 18, 2021
Organizers: Duncan Callaway (University of California, Berkeley), Alejandro Domínguez-García (University of Illinois at Urbana-Champaign), and Marija Ilic (Massachusetts Institute of Technology)

Data-Driven Decision-Making in Socio-Technical Systems

March 24–26, 2021
Organizers: Saurabh Amin (Massachusetts Institute of Technology), Aleksander Madry (Massachusetts Institute of Technology), and Asu Ozdaglar (Massachusetts Institute of Technology)

Safe Autonomy: Learning, Verification, and Trusted Operation of Autonomous Systems

December 7-8, 2020
Organizers: Geir Dullerud (University of Illinois at Urbana-Champaign) and Claire Tomlin (University of California, Berkeley)

The Analytical Foundations of Deep Learning: Interpretability and Performance Guarantees

October 19–21 & 23, 2020
Organizers: Yi Ma (University of California, Berkeley) and Rene Vidal (Johns Hopkins University)

Epidemics, Opinion, and (Mis)Information: The Analytic Foundations of Dynamics over Networks

September 8–11, 2020
Organizers: Devavrat Shah (Massachusetts Institute of Technology) and Lei Ying (University of Michigan)