The AI in StAtIstics initiative explores the intersection of artificial intelligence and statistics, driving innovation and advancements in data analysis and interpretation. NISS has collaborated with FSCM, the National Academies of Sciences, and aquired sponsorships from the ASA, RTI, and NORC at the University of Chicago. The Committee on National Statistics, the Federal Committee on Statistical Methodology, the Interagency Council on Statistical Policy, and the National Institute of Statistical Sciences worked together to organize an AI Day on May 2, 2024. Implications of AI for federal statistical agencies were discussed and explored. Together, we took a look at what statistical research needs to be performed and considered the intersection of federal statistics with how other fields make use of AI.
AI, Statistics and Data Science in Practice Event Series
AI in Federal Government Event Series
AI Day at National Academies of Sciences (NASEM)
AI Day at National Academies of Sciences (NASEM)
On May 2, 2024, the National Academies of Science in Washington, DC, hosted the much-anticipated "AI Day for Federal Statistics." Organized by CNSTAT at the National Academies of Science, FCSM, and NISS, this event brought together experts and practitioners in the field of artificial intelligence (AI) to explore its integration into federal statistical practices. The in-person session served as a culmination of collaborative efforts aimed at advancing AI integration in federal statistical practices. Attendees were treated to a diverse array of topics and expert speakers, promising a day filled with innovation and insight.
About the NISS CoLab
The National Institute of Statistical Sciences (NISS), an independent non-profit research organization founded in 1990 by the ASA, IBS, IMS, the triangle universities, and others, is excited to announce the launch of the NISS Collaboratory (CoLab). This new initiative will host collaborative events and activities, bringing together NISS Affiliates and partner institutions to work on high-impact cross-disciplinary and cross-sector research. NISS identifies, seeds, catalyzes, and fosters such research in the statistical and data sciences, serving as a neutral, objective expert in delivering critical scientific and public policy research to academia, industry, and government.
CoLab aims to strengthen these efforts by enhancing collaboration and innovation across diverse fields:
- Statistics Serving Society (S3)
- NISS New Researchers Network
- Ai in stAtIstics
- Collaborative Data Science
- Public Health & the Environment
- Visualization
Full details are available on the NISS CoLab page: https://www.niss.org/CoLab



