Registration Link: Registration - ISU-NISS Conference on AI and Statistics
Location: Iowa State University
Dates: September 12-15, 2025
Sponsors:
- Iowa State University Department of Statistics
- National Institute of Statistical Sciences
- Translational Artificial Intelligence Center
- Stats Up AI – a new interest group of the American Statistical Association that aims to empower statisticians to participate more actively in AI research and leadership
The 2025 ISU-NISS Conference on AI and Statistics will take place Friday, September 12 to Sunday, September 14 on the Iowa State University campus. This three-day event brings together researchers at the intersection of artificial intelligence and statistical science to explore the latest theoretical and applied advances in AI and statistics.
The program will feature invited plenary sessions and poster presentations covering a range of topics such as causal reasoning, online inference and streaming data, sequential decision-making, image and shape analysis, geospatial AI, and applications of machine learning and AI in forensic science and survey statistics.
We invite academics, industry professionals, and students to join us on the ISU campus for stimulating discussions, collaborative networking, and community-building around the future of AI and statistics.
Confirmed Speakers:
Bryon Aragam, University of Chicago, Booth School of Business
Trent D Buskirk, Old Dominion University, School of Data Science and Department of Epi, Bio and Environmental Health
Serina Chang, University of California Berkeley, EECS and Computational Precision Health
Yang Chen, University of Michigan, Statistics
Moo Chung, University of Wisconsin-Madison, Biostatistics and Medical Informatics
Alex Hagen, Pacific Northwest National Lab
Heike Hofmann, CSAFE/University of Nebraska-Lincoln, Statistics
Eric Laber, Duke, Biostatistics and Bioinformatics
Lan Luo, Rutgers, The State University of New Jersey, Biostatistics and Epidemiology
Yang Ni, Texas A&M University, Statistics
Chris Saunders, South Dakota State University, Statistics
Shubhanshu Shekhar, University of Michigan, EECS
Lan Wang, University of Miami, Management Science
Christopher K. Wikle, University of Missouri, Statistics
Lei Zou, Texas A&M University, Geography
Organizing committee
Zhengyuan Zhu (Chair), Iowa State University, Statistics
Lynna Chu, Iowa State University, Statistics
Chunlin Li, Iowa State University, Statistics
Danica Ommen, Iowa State University, Statistics
Andrew Thomas, University of Iowa, Statistics and Actuarial Science
Special Guest – Nate Silver (Friday at 6PM | Great Hall, Memorial Union)
Join us for a public conversation from guest speaker Nate Silver, as he discusses "Risk, Statistics, and the Future Use of AI."
Author of "On the Edge: The Art of Risking Everything" (2024) and "The Signal and the Noise: Why So Many Predictions Fail-But Some Don't" (2012), Nate is the leading political forecaster – his statistics-driven approach is unparalleled in its accuracy to predict election outcomes. Learn more about his background and upcoming presentation by visiting this link.
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Zhengyuan Zhu
Professor of Statistics
Iowa State University
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