This two-day workshop brings together leading experts in machine learning (ML) and neuroscience to examine two emerging themes: (1) the relationship between brain resilience and algorithmic robustness, and (2) the role of ML-driven data generation in social sciences and the possible acceleration of scientific discovery. The workshop will hold two panels: one on how insights from ML and neuroscience can potentially inform each other toward the development of more resilient and robust systems, and the second on the ethical and practical implications of synthetic data in shaping research outcomes and policy decisions. View the schedule and register here.

The workshop will be hosted by Columbia Engineering, Simons Institute for the Theory of Computing, and the NSF AI Institute for Artificial and Natural Intelligence (ARNI)

Campus Access
In accordance with the University’s current visitor guidelines, all non-Columbia guests will receive a QR code within 24 hours of the event date. The code will be sent to you via email from CU Guest Access and must be presented for campus entry, along with a government-issued ID. Please note, this is not the same as the Eventbrite ticket code.

Accessibility
Columbia University makes every effort to accommodate individuals with disabilities. If you require disability accommodations to attend an event at Columbia University, please contact the Office of Disability Services at 212.854.2388 or access@columbia.edu.

Photography/Videography
Columbia Engineering reserves the right to capture and use images (including video, photo, audio) of student participants at this event in its current or future marketing materials. These materials include but are not limited to: social media, digital and/or print posters, email and web-based materials. By attending and participating in this event, you are consenting to having your image captured for these purposes. If you have concerns about your likeness being used, please reach out to engineeringcommunications@columbia.edu and we will accommodate your request.