2025 ISU-NISS Conference on AI and Statistics
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Author: vsiefken
The Department of Statistics at Iowa State University, in collaboration with the National Institute of Statistical Sciences, will host the 2025 ISU-NISS Conference on AI and Statistics September 12 through September 14 on the Iowa State University campus. This three-day event, co-sponsored by Stats Up AI, 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. In addition, conference attendees will have the opportunity to participate in an in-person, moderated conversation with Nate Silver on statistics, modeling, and AI that is open to the public.
Poster abstract submissions on a wide range of topics are accepted through August 22. Please consider showcasing your work to conference attendees by presenting a poster on some aspect of AI, statistics, or the interface of these areas.
Registration is open at a reduced rate through August 22. The final registration deadline is August 31. Please see the conference website https://www.regcytes.extension.iastate.edu/isu-niss-ai-stat/ for additional details.
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.