Upcoming Events

Event Date:
Thursday, November 20, 2025 - 1:00pm to 2:00pm
Event Location:
Free Zoom Webinar

United States
Overview: Deep learning with ECG data in the ICU: From modelling to actionable AI is part of the NISS-CANSSI Collaborative Data Science Series, which highlights cutting-edge applications of data science across disciplines. This session will examine how deep learning methods can be leveraged to... more
Event Date:
Tuesday, December 16, 2025 - 12:00pm to 1:00pm
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
Online Zoom Webinar

United States
Overview The COPSS-NISS Leadership Webinar series continues with an engaging session on Leadership in Esametry: Within-Individual Statistics of N-of-1 Trials and Single-Case Designs. Over the past several decades, researchers from diverse disciplines have advanced methods of quantitative idiography... more
Event Date:
Thursday, January 8, 2026 - 1:00pm to 2:00pm ET
Event Type:
NISS Hosted
Overview: The National Institute of Statistical Sciences (NISS) and the Canadian Statistical Sciences Institute (CANSSI) are pleased to present a collaborative webinar exploring... . Intro paragraph TBD. Register on Zoom Speakers Dr. First Last, Title, Entity Moderator First Last, Title,... more
Event Date:
Tuesday, January 27, 2026 at 9:00 am - 10:00pm ET / 7:00 am - 8:00 am PT
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
Free Zoom Webinar

United States
Overview The January 27, 2026, COPSS-NISS Leadership Webinar, The Role of Bayesian Statistics in an Age of AI, will feature distinguished statisticians David Dunson (Duke University) and Xuming He (Washington University in St. Louis) in a discussion exploring how Bayesian methods can enhance... more
Event Date:
Thursday, February 12, 2026 - 1:00pm to 2:00pm ET
Event Type:
NISS Hosted
Overview: The National Institute of Statistical Sciences (NISS) and the Canadian Statistical Sciences Institute (CANSSI) are pleased to present a collaborative webinar exploring... . Intro paragraph TBD. Register on Zoom Speakers Dr. First Last, Title, Entity Moderator First Last, Title,... more
Event Date:
Tuesday, February 24, 2026 - 12:00pm to 1:00pm
Event Type:
NISS Hosted, NISS Sponsored
Overview Full details coming soon! Zoom Registration Coming Soon! Speakers (Speakers coming soon!) Moderator Lucy D'Agostino McGowan, Assistant Professor, Department of Statistical Sciences, Wake Forest University About the Moderator Dr. Lucy D’Agostino McGowan is an assistant professor in... more
Event Date:
Thursday, March 12, 2026 - 1:00pm to 2:00pm ET
Event Type:
NISS Hosted
Overview: The National Institute of Statistical Sciences (NISS) and the Canadian Statistical Sciences Institute (CANSSI) are pleased to present a collaborative webinar exploring... . Intro paragraph TBD. Register on Zoom Speakers Dr. First Last, Title, Entity Moderator First Last, Title,... more
Event Date:
Tuesday, March 31, 2026 - 12:00pm to 1:00pm
Event Type:
NISS Hosted, NISS Sponsored
Event Location:

United States
Overview Full details coming soon! Zoom Registration Coming Soon! Speakers (Speakers coming soon!) Moderator Dr. Irina Gaynanova, Associate Professor, Department of Biostatistics, University of Michigan About the Moderator Dr. Irina Gaynanova is an Associate Professor in the Department of... more
Event Date:
Thursday, April 9, 2026 - 1:00pm to 2:00pm ET
Event Type:
NISS Hosted
Overview: The National Institute of Statistical Sciences (NISS) and the Canadian Statistical Sciences Institute (CANSSI) are pleased to present a collaborative webinar exploring... . Intro paragraph TBD. Register on Zoom Speakers Dr. First Last, Title, Entity Moderator First Last, Title,... more
Event Date:
Thursday, May 14, 2026 to Friday, May 15, 2026
Event Type:
NISS Hosted
Event Location:
TDAI, Ohio State University
Columbus, Ohio,
United States
Overview The National Institute of Statistical Sciences (NISS) is hosting a two-day, in-person Statistics Serving Society (S3) Forum on “Challenges in Modeling and Analyzing Maternal Health Data.” This forum will bring together statisticians, data scientists, public health researchers, and... more

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