ASA Fellow Jing Huang discusses her work leading data and AI strategy to advance precision medicine for transplant patients.
AI
‘Practical Significance,’ Take II, Volume 1: A Conversation with the Editors of ‘ASA Discoveries’
“ASA Discoveries” is the American Statistical Association’s new open-access journal designed to publish innovative work that doesn’t fit traditional journal molds.
AI Projects for Earth Day
This Earth Day, AI-driven citizen science tools are empowering millions to protect our planet, proving that technology and nature can work hand in hand.
Last Call to Register for SDSS 2026 in Milwaukee
The conference brings together data scientists, statisticians, and computer scientists for short courses, keynotes, and networking opportunities centered on the evolving role of AI.
Survey Research Methods Section Looks Toward JSM
The Survey Research Methods Section is gearing up for JSM 2026 in Boston this August, with five invited sessions and student award winners already announced.
Health Policy Statistics Conference Slated for Annapolis in 2027
Invited session and workshop proposals are being accepted for the 16th International Conference on Health Policy Statistics, taking place January 13-15, 2027, in Annapolis, Maryland.
Stewards of Uncertainty: Our Role in the Age of AI
ASA President Jeri Mulrow discusses the rise of generative AI and why statisticians play a critical role in guiding what happens next.
‘Practical Significance’ | Episode 62: Volume One: A Conversation with the Editors of ASA Discoveries
What does a journal look like when you design it for the research world we’re living in, along with the one we’re building? In the latest episode of Practical Significance, cohosts Donna LaLonde and Ron Wasserstein welcome the editorial leadership team behind ASA Discoveries, the American Statistical Association’s new open-access journal. Editor-in-Chief Bo Li (Washington […]
Surveys and Big Data: A Partnership for Better Science in 2026
Survey Research Methods Section Publications Officer Emily Berg advocates for the importance of survey statisticians and invites them to consider joining SRMS.
Statistics in the Age of AI
Jae-Kwang Kim offers his thoughts about the potential evolution of university statistics departments as they face the environmental shifts of AI.