Upcoming Events

Event Date:
Thursday, March 12, 2026 - 1:00pm to 2:00pm ET
Event Type:
NISS Hosted
Overview: This webinar, part of the NISS‑CANSSI Collaborative Data Science Series, explores Bayesian methods for reconstructing ion temperature and amplitude profiles in inertial confinement fusion diagnostics. This session will highlight cutting‑edge statistical modeling at the intersection of... more
Event Date:
Tuesday, March 17, 2026 - 12:00pm to 1:30pm ET
Event Type:
NISS Hosted
Event Location:
Zoom Webinar

United States
Speaker Weijie Su, Associate Professor, Wharton Statistics and Data Science Department and, by courtesy,  Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Moderator Whitney Huang, Associate Professor of Statistics at Clemson University   Zoom Registration... more
Event Date:
Wednesday, March 25, 2026 - 12:00pm to 1:30pm ET
Event Type:
NISS Hosted
Overview Join us for the NISS/Merck Meet-Up: Transforming Statistics and Drug Development: The Role of Generative AI and Large Language Models on March 25, 2026. This event will bring together experts from academia, industry, and government to explore how cutting-edge AI technologies—particularly... more
Event Date:
Thursday, March 26, 2026 - 4:00pm-6:00pm CT
Event Type:
NISS Sponsored
Overview: The D³ (DFW Data Science and Statistics Day) poster competition provides an excellent platform for students and postdocs in data science, statistics/biostatistics, and business in the DFW area to present their research and connect with peers. This event welcomes both statisticians and... more
Event Date:
Tuesday, March 31, 2026 - 12:00pm to 1:00pm ET
Event Type:
NISS Hosted, NISS Sponsored
Overview Join us for the COPSS-NISS Leadership Webinar exploring how leaders in translational statistics and machine learning collaborate with clinical teams. This session highlights practical strategies for connecting analytical methods with real-world clinical needs. Participants will gain... more
Event Date:
Thursday, April 9, 2026 - 1:00pm to 2:00pm ET
Event Type:
NISS Hosted
Overview: This webinar will explore emerging opportunities for statisticians in AI education. In particular, we will feature perspectives from statisticians actively involved in AI education initiatives, highlighting concrete examples, challenges, and best practices. Register on Zoom Speakers... more
Event Date:
Tuesday, April 14, 2026 ET 2:30 pm - 3:30 pm ET
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
Free Zoom Webinar

United States
Overview Join us for our next COPSS-NISS Leadership Webinar: Leadership in Esametry: Within-Individual Statistics of N-of-1 Trials and Single-Case Designs, featuring Dr. Christopher H. Schmid, Professor at Brown University, and Dr. Mariola Moeyaert, Associate Professor at the University at Albany... more
Event Date:
Tuesday, April 17, 2026 - 12:00pm to 1:30pm ET
Event Type:
NISS Hosted
Event Location:
Free Zoom Webinar

United States
Speaker Anastasios N Angelopoulos, Cofounder and CEO at LMArena AI Moderator Coming Soon   Zoom Registration Coming Soon! Overview Coming Soon About the Speaker Anastasios Nikolas Angelopoulos is a cofounder and the CEO at LMArena AI. He received his Ph.D. at the University of California,... more
Event Date:
Thursday, April 30, 2026 - 1:00pm to 5:00pm
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
National Academy of Sciences Building
2101 Constitution Ave NW
Washington, District of Columbia, 20418
United States
Overview Ready or not, Generative Artificial Intelligence (Gen AI) is here. Federal agencies have begun to develop policies and strategies, provide access to Gen AI services to their staff, administer training, govern usage, and incorporate Gen AI into production workflows. Agencies are at... more
Event Date:
Tuesday, May 19, 2026, 12pm-1pm ET/9-10am PT
Event Type:
NISS Hosted, NISS Sponsored
Overview Full details coming soon! Zoom Registration Coming Soon! Speakers (Speakers coming soon!) Moderator Lucas Janson, Harvard University About the Moderator Lucas Janson, Harvard University: I am an Associate Professor of Statistics and Affiliate in Computer Science at Harvard... more

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