Margaret Gamalo says, “Statistical stewardship requires embedding statistical principles within AI systems rather than treating AI as an opaque instrument. Causal inference must reside within predictive pipelines; bias correction must occur where it alters actions; and transportability must be made explicit rather than assumed.”
causal inference
Donna Spiegelman Presents Brogan Lecture in Biostatistics
Donna Spiegelman presented the 2026 Donna J. Brogan Lecture in Biostatistics on April 20 at Emory University. Spiegelman’s lecture, titled “Causal Inference: The Limits of Confounding, the Boundlessness of Measurement Error,” examined two central sources of bias in epidemiologic research.
Statisticians’ Future in the Pharmaceutical Industry: From Data Analysts to Strategic Partners
Today’s statisticians are stepping more into the spotlight, helping shape actual decisions that drive drug development forward—from early discovery through regulatory hurdles and beyond.
SLDS Conference Planned for NYC in November
The ASA’s Section on Statistical Learning and Data Science Conference will be held November 1–3 in New York City, bringing together academia, industry, and government to explore advances in statistical learning, AI, and inference.
Judith Lok Recognized with Mosteller Statistician of the Year Award
On April 28, the Boston Chapter of the American Statistical Association celebrated Judith J. Lok, a Boston University professor, as the 2025 Mosteller Statistician of the Year for her pioneering contributions to causal inference and clinical trial design methodology.
A. Philip Dawid Awarded David Cox Foundations of Statistics Award
A. Philip Dawid is the second recipient of the David R. Cox Foundations of Statistics Award, presented by the American Statistical Association for groundbreaking contributions that have fundamentally shaped the foundations of statistical science across multiple domains. Dawid will receive the award and deliver a lecture at the Joint Statistical Meetings in August.
Nominations Sought for Causality in Statistics Education Award
The award is given by the ASA to a person or team that does the most to enhance the teaching and learning of causal inference in statistics.
Abstract Submission Underway for JSM 2024
The program committee put together 166 invited sessions, including paper and panel sessions. In the event your proposal is not selected for an invited or topic-contributed session, there are still ways to get involved in the 2024 JSM program.
April Issue Focuses on Causal Inference, Computing, Technology
The April issue of the Journal of Statistics and Data Science Education is freely available online. The issue includes an editorial, plus 10 articles on a variety of topics and projects.
Successful JSM 2023 Program Requires You
JSM 2023 Program Committee members put together more than 200 invited sessions on a broad range of topics in statistics and data science. Now, it’s time to fill out the rest of the program with your help.