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.
JASA
JASA Reproducibility Award Winners Named
Zihang Wang, Irina Gaynanova, Aleksandr Aravkin, Benjamin B. Risk, Wentao Zhan, and Abhirup Datta received the 2024 JASA Reproducibility Award for their exemplary work in computational reproducibility in statistical research.
Obituary: Mary A. Foulkes
Mary Foulkes passed away in Traverse City, Michigan, on February 8, 2025, after a lengthy career in biostatistics and service to the profession.
Aurore Delaigle
Aurore Delaigle grew up in the French-speaking part of Belgium, where her parents—both high school teachers in mathematics and sciences—influenced her early interest in mathematics.
ASA Journals, CHANCE Magazine Need Editors
Become a journals editor. Journals are vital to the ASA’s mission of promoting the practice and profession of statistics, and editors are at the heart of ensuring our publications continue to be world leaders in statistics research and applications.
My ASA Story: Weijie Su, Associate Professor
Weijie Su’s involvement with the ASA is multifaceted and extends beyond attending a conference. Earlier this spring, he participated in an ASA town hall about the role of statistics in the future of AI. “It was inspiring to see so many colleagues in our community care about the future of our field,” he says.
Highlights of the April 19–20, 2024, ASA Board of Directors Meeting
The ASA Board convened in April and approved editor appointments, made minor changes to naming and renaming policies for ASA awards, and recommended changes to the bylaws.
Papers Wanted for JASA Special Issue on Statistical Science in AI
Editors of the Journal of the American Statistical Association are seeking papers for a special issue dedicated to exploring the intersection of statistical theory, methods, and applications with core problems in artificial intelligence.
Regina Liu
Regina Liu grew up in Taiwan with an interest in pursuing applied mathematics and actuary science, but she fell in love with probability and statistics instead. She earned a PhD in statistics from Columbia University and became an assistant professor at Rutgers University. Now a distinguished professor at Rutgers, she has established herself as an outstanding researcher and is praised for providing exceptional service to the statistics and data science profession. She has served as an editor for many journals and was president of the Institute of Mathematical Statistics from 2020–2021. She has dedicated much effort to the outreach and promotion of junior researchers and under-represented groups and is credited for making the Rutgers Statistics Department the well-known and nurturing place it is today.
Statistics: A Core Competency for Collaborative Science
The ASA recently added the open access journal Data Science in Science to its portfolio of publications to showcase statistical science as a core competency for interdisciplinary collaborations. Here, ASA President Bonnie Ghosh-Dastidar shares excerpts of an interview with the journal’s founding editor, David Matteson, and former ASA President Kathy Ensor.