Upcoming Events
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:
Friday, April 19, 2024 - 4:00pm
Event Type:
NISS Sponsored
The University of Georgia, Department of Statistics and The Statistics Club jointly present the 2024 Bradley Lecture on Friday, April 19, 2024 at 4:00pm ET with featured speaker Dr. Dipak Kumar Dey (wiki-site), Board of Trustees Distinguished Professor in the Department of Statistics at the... more
Event Date:
Tuesday, April 30, 2024 at 12-1pm ET
Event Location:
Zoom Webinar
United States
United States
Join us for our another insightful webinar on the topic of leadership in the field of statistics and data science! The focus of this event will be to discuss the conduct of statistical research motivated by public health and medicine, and how statisticians and data scientists can ensure their work... more
Event Date:
Thursday, May 2, 2024 - 10 am - 5:30 pm ET
Event Type:
NISS Sponsored
Event Location:
National Academy of Sciences Building 2101 Constitution Ave NW Washington DC 20418
United States
United States
Artificial intelligence (AI) is advancing at a rate that many might have thought impossible a few years earlier, particularly including the development of natural language processing. The Committee on National Statistics, the Federal Committee on Statistical Methodology, and the National Institute... more
Event Date:
May 9-11, 2024
Event Type:
NISS Sponsored
Event Location:
United States
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:
Friday, May 10 & Friday May 17, 2024, 1 pm - 4 pm ET
Event Type:
NISS Hosted
Event Location:
Zoom Webinar
United States
United States
Call for presentations:
We are inviting additional presentations for the two-day virtual workshop, in addition to the invited speakers already on the Agenda. Speakers will have 15 minutes to present on related topics.
Please provide a title for your presentation, a 100-150 word abstract, and a... 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 annual 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... more
Event Date:
June 3-5, 2024
Event Type:
NISS Sponsored
Event Location:
Clemson, South Carolina,
United States
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
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
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
Pages
