Past Events
Event Date:
Friday, June 6, 2025 at 12-5pm ET
Event Type:
NISS Hosted
Quick Links
➤ Registration
Overview
The NISS Virtual New Researchers Conference is your chance to present the work you are passionate about—whether it’s your own original research, an important paper you’ve studied, or a review of recent developments in your field. This is a welcoming and... more
Event Date:
Tuesday, May 20, 2025
Event Type:
NISS Sponsored
Event Location:
100 Huck Life Sciences Building, Berg Auditorium
Penn State University
State College , 16802
United States
Penn State University
State College , 16802
United States
The C. R. and Bhargavi Rao Prize honors outstanding and influential innovations in the theory and practice of mathematical statistics, international leadership in directing statistical research, and pioneering contributions by a recognized leader in the field.
C. R. Rao
C. R. Rao (1920–2023) was... more
Event Date:
Monday, May 19, 2025 at 12-1pm ET
Event Type:
NISS Hosted
Please Note: This event has already taken place, you may find the news story and recording here: Leadership, Impact, and Innovation: Highlights from the COPSS-NISS Webinar on Statistics and Society
Overview
Join the Committee of Presidents of Statistical Societies (COPSS) and the National... more
Event Date:
May 16, 2025 - May 17, 2025
Event Type:
NISS Sponsored
Event Location:
United States
United States
The Institute for Research in Statistics and its Applications (IRSA), is hosting a conference on May 16th - 17th, 2025 (Friday-Saturday), in Minneapolis, MN.
The conference will be in-person.
Register on Conference Website
Overview
Statistics, Agriculture and the Environment: Agriculture and... more
Event Date:
Tuesday, May 13, 2025 - 12:00pm to 1:30pm
Event Type:
NISS Hosted
Event Location:
United States
United States
Overview
Join us for a compelling talk by Dr. Amy McGovern, Lloyd G. and Joyce Austin Presidential Professor in the School of Meteorology and the School of Computer Science at the University of Oklahoma, and Director of the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and... more
Event Date:
Monday-Wednesday, May 12-14, 2025
Event Type:
NISS Sponsored
Event Location:
Indianapolis, Indiana,
United States
United States
Bayesian, Fiducial and Frequentist Conference 2025 presented by Purdue University Department of Statistics – May 12, 2025 – May 14, 2025
The Bayesian, Fiducial, and Frequentist (BFF) community began in 2014 to facilitate scientific exchange among data scientist and scholars in related fields... more
Event Date:
Friday, May 9, 2025 to Saturday, May 10, 2025
Event Type:
NISS Sponsored
Event Location:
United States
United States
Marking 90 Years of the GW Department of Statistics!
Dates: May 9–10, 2025
Location: Jack Morton Auditorium, George Washington University, Washington, DC
Overview
The Department of Statistics at the George Washington University is celebrating its 90th anniversary, marking nearly a century of... more
Event Date:
Thursday, May 8, 2025 at 1-2pm ET
Event Type:
NISS Hosted
Overview
Join us for the next NISS-CANSSI Collaborative Data Science Webinar on May 8, 2025, from 1 to 2 PM ET, titled "From MPEG-4 to Deep Learning: Transforming Audio-Visual Analytics for Healthcare and Beyond." This webinar will explore the evolution of audio-visual analytics from traditional... more
Event Date:
Tuesday, April 29, 2025 at 12-1pm ET
Event Type:
NISS Hosted
Please Note: This event has already taken place, you may view the news story and webinar recording here: COPSS-NISS Webinar Explores Leadership in Trustworthy AI: Insights from David Donoho and Michael I. Jordan | National Institute of Statistical Sciences
The COPSS-NISS Leadership Webinar:... more
Event Date:
Friday, April 18, 2025
Event Type:
NISS Sponsored
Event Location:
Brooks Hall 145 | Founders Memorial Garden
Athens, 30602
United States
Athens, 30602
United States
INFERENCE ON A SINGLE REALIZATION OF A NETWORK
Given a dataset consisting of a single realization of a network, we consider conducting inference on a parameter selected from the data. For instance, suppose that we perform community detection to identify sets of nodes with generally similar... more