David Swanson, professor emeritus at UC Riverside, has received the award for his influential contributions to demographic methodology, including the cohort change ratio method.
statisticians
Sally Morton Named Among Top 10 Women Leaders in Education
Sally Morton, ASA Founder and Fellow, was recognized for her career spanning statistics, research leadership, and national policy.
2026 Rousseeuw Prize Awarded to R Project
Five members of the R Core Team have been awarded the 2026 Rousseeuw Prize for Statistics for decades of work building and maintaining R as free, open-source software.
Obituary: Arthur Pentland Dempster
Arthur Pentland Dempster, longtime Harvard statistics professor who developed the EM algorithm and Dempster-Shafer theory of belief functions, died on January 30, 2026, at age 96, leaving a lasting mark on statistical inference and fields from machine learning to artificial intelligence.
This Month in Statistics History: Spotlight on Statistical Ecology
The column traces the development of statistical ecology from 1902 to 1969, highlighting key milestones and figures—from early significance testing and random-walk models to biodiversity indices and pioneers like Charlotte Kipling and E. C. Pielou.
Professional Opportunities
Amherst College is hiring for a tenure-track position in statistics. Apply by October 5.
Events and Opportunities
New professional development opportunities, upcoming conferences, and opportunities to share your story with the ASA community.
Disability Pride Month: Statisticians with Physical and Mental Disabilities Who Contributed Remarkably to the Profession
To commemorate Disability Pride Month, we celebrate the accomplishments of individuals with disabilities and their contributions to statistics and the wider community.
What Makes a Statistician?
Jeri Mulrow reflects on professional identity, graduate school choices, internships, and job search strategies in a world where rigorous statistical thinking has never been more in demand.
‘JASA’ Special Issue Explores the Role of Statistical Science in AI Revolution
This special issue explores how the statistical community can shape the future of artificial intelligence through rigorous methodology, trustworthy systems, and deeper integration between statistical theory and AI’s computational power.