Upcoming Events

Event Date:
Monday, March 18, 2024 - 3 pm - 4:30 pm ET
Event Type:
NISS Hosted, NISS Sponsored
  Speakers Ellen Galantucci (Federal Maritime Commission) "Safeguarding Confidentiality in Federal Statistics: Navigating AI Challenges" Emily Hadley (RTI International)  "Practical Approaches for Ensuring the Responsible Use of AI" Benjamin Reist (NORC) "Addressing Algorithm Bias/Fairness in... more
Event Date:
Friday, March 29, 2024 at 12-1pm ET
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
Zoom Webinar

United States
Join us for another insightful webinar on the topic of leadership in the field of statistics genomics! The focus of this event will be to discuss how to successfully bridge the interests of statistics & data science and genetics & genomics, and how statisticians and data scientists can... more
Event Date:
Tuesday, April 2, 2024 at 3:00 - 4:30 pm ET
Event Type:
NISS Hosted
Speakers Scott Lee (CDC) Luca Sartore (USDA-NASS/NISS) Andy Ramlatchan (Department of Defense) Kusuma Prabhakara (Census) Moderator Linda Young (USDA-NASS) About the NISS/FCSM AI in Federal Government Series The National Institute of Statistical Sciences (NISS) and the Federal Committee on... more
Event Date:
April 8, 2024
Event Type:
NISS Sponsored
Event Location:
Rubenstein Auditorium & Commons
Perelman School of Medicine's Smilow Center for Translational Research
3400 Civic Center Boulevard
Philadelphia, Pennsylvania,
United States
Optimizing Dose Selection Across the Clinical Trials Spectrum April 8, 2024, The 16th Annual Conference on Statistical Issues in Clinical Trials will take place at the Rubenstein Auditorium & Commons at the Perelman School of Medicine's Smilow Center for Translational Research, 3400 Civic... more
Event Date:
Friday-Sunday, April 19-21, 2024
Event Type:
NISS Sponsored
Theory and Foundations of Statistics in the Era of Big Data A conference hosted by the Department of Statistics, Florida State University, in coordination with the International Indian Statistical Association (IISA), to celebrate the birth centenary of Debabrata Basu and Raghu Raj Bahadur and to... more
Event Date:
May 9-11, 2024
Event Type:
NISS Sponsored
Event Location:

United States
This conference aims to bring together researchers in academics and industries to explore the impact of AI on statistical research and education and also to brainstorm how statistics can contribute to AI. The conference features two short courses on causal inference (by Dr. Peng Ding from... more
Event Date:
Saturday, May 18 & Sunday, May 19, 2024
Event Type:
Affiliate Award Fund Eligible, NISS Hosted
The NISS Graduate Student Network (GSN) is very excited to once again announce our 4th two-day Graduate Student Network Research Conference. Last year's conference in 2023 was a resounding success with many fantastic presentations and selecting winners was quite a challenge! This year's conference ... more
Event Date:
June 3-5, 2024
Event Type:
NISS Sponsored
Event Location:
Clemson, South Carolina,
United States
2024 Summer Research Conference June 3-5, 2024 Clemson, South Carolina Undergraduate Students Click Here Hosted by Clemson University School of Mathematical and Statistical Sciences Clemson, South Carolina KEY DATES February 8, 2024 - April 15, 2024 - Early Registration (Faculty/Professional... more
Event Date:
June 4-7, 2024
Event Type:
NISS Sponsored
Event Location:
Omni Richmond Hotel
100 South 12th Street
Richmond, Virginia, 23219
United States
The American Statistical Association invites you to join us at the seventh annual Symposium on Data Science and Statistics in Richmond, VA, June 4–7, 2024. SDSS provides a unique opportunity for data scientists, computer scientists, and statisticians to come together and exchange ideas. SDSS 2024... more
Event Date:
Wednesday, June 5, 2024 - 1-3pm
Event Type:
NISS Hosted
Event Location:

United States
The Role of Blended Data in a New National Data Infrastructure Session Description: Blended data–that is, data combined from multiple sources of previously collected data–can enable rich and timely analyses not possible with any one data set alone in ways that reduce burden and cost to the public.... more

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