Upcoming Events
Event Date:
Friday, October 31, 2025
Event Type:
NISS Sponsored
Event Location:
The Georgia Center
University of Georgia
Georgia,
United States
University of Georgia
Georgia,
United States
Overview
The purpose of this event is to promote interdisciplinary research within the flagship institutions of the state of Georgia. Our conference will enable junior researchers in the Southeast region of the United States, including graduate students, to present their work, to see... more
Event Date:
POSTPONED (Date TBD)
Event Type:
NISS Hosted
Please note: this event has been postponed due to the government shut down. We do apologize for the inconvenience, we will save your spot if you registered for the event and you will be notified once the event gets rescheduled for a later date.
Overview
Generative Artificial Intelligence (AI) is... more
Event Date:
Monday, November 10, 2025 - 2:00pm to 3:30pm ET
Event Type:
NISS Hosted
Event Location:
Online Zoom Webinar
United States
United States
Overview
Join us for an interactive short course that takes you on a journey from the foundations of data literacy to the frontiers of neural computing! Our instructor Dr. Padmanabhan Seshaiyer (Padhu), Professor and Director in the Mathematics Department at George Mason University (GMU), will... more
Event Date:
Friday, November 14, 2025 - 12:00pm to 1:00pm
Event Type:
NISS Hosted
Event Location:
United States
United States
Join the National Institute of Statistical Sciences (NISS) for a virtual panel discussion exploring the rapidly evolving role of artificial intelligence (AI) in the biopharma industry. This session will bring together experts from leading organizations to share insights on how AI is transforming... more
Event Date:
Tuesday, November 18, 2025 - 1:00pm to 2:00pm ET
Event Type:
NISS Hosted
Overview
Join us for the next session of the NISS AI, Statistics, and Data Science in Practice webinar series, featuring Joanne Kim, PhD, Assistant Professor-Clinical, Biomedical Informatics at The Ohio State University, will discuss the application of machine learning (ML) and Bayesian geospatial... more
Event Date:
Thursday, November 20, 2025 - 1:00pm to 2:00pm
Event Location:
Free Zoom Webinar
United States
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:
Friday, December 5, 2025 at noon
Event Type:
NISS Hosted
Overview:
Are you a graduate student or early-career statistician considering an academic career? Join the NISS Virtual Academic Career Fair to hear directly from faculty and department leaders about what it takes to secure a statistical appointment in academia and how to thrive once you get there... 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
United States
Overview
Join us for an engaging COPSS-NISS Leadership Webinar on “Leadership in Professional Societies,” where distinguished leaders share insights on fostering collaboration and driving impact within the statistical community. Gain inspiration and practical advice on how to take on leadership... 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
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
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