The ASA Board convened in August at JSM and approved editor appointments, adopted next year’s budget, and discussed presidential initiatives.
AI
Submissions Wanted for Journal of Statistical Theory and Practice
Submit a paper to the Journal of Statistical Theory and Practice for a special issue titled “Emerging Methods and Applications in Bio-Data Science Research.”
SDSS 2024: Forging Connections and Bridging the Gap
More than 300 attendees in Richmond, Virginia, took short courses; gave and attended paper, poster, and panel sessions; mingled and made new friends between sessions; and immersed themselves in the city’s historic neighborhoods.
Practical Significance Take Two—Talking Data Science in Science with Founding Editor-in-Chief
The ASA recently added the open-access journal Data Science in Science to its portfolio of publications and Practical Significance co-hosts Donna LaLonde and Ron Wasserstein interviewed the journal’s founding editor, David Matteson, during a recent podcast episode. If you missed it, you can tune in here.
Expanding the ‘Big Tent’ for Statistics: Our Mission and Vision for Fostering Community
ASA President Madhumita (Bonnie) Ghosh-Dastidar writes that ASA members are uniquely positioned to drive positive change within the organization, bringing together the areas in which they work and the communities they serve.
NSF Corner: Directorate for Technology, Innovation, and Partnerships
To strengthen the connection between the statistical community and National Science Foundation, we continue the series that poses questions to NSF program officers and awardees. This month’s program officer is Jemin George from the NSF Directorate for Technology, Innovation, and Partnerships and the awardee responses are from Yuzhou Chen of Temple University.
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.
Ginger Holt
Ginger Holt’s journey into the world of statistics and data science began in Fort Worth, Texas, fueled by a family passion for education. She pursued an undergraduate degree in industrial engineering at Texas A&M University and eventually earned a PhD in statistics from Rice University. She loved her first job as assistant professor at the University of Virginia but did not love pursuing research funding, so she transitioned into industry work. Currently at DataBricks, Holt plays a pivotal role in unifying forecasting processes across different domains. Leading her team, she focuses on building tooling in data engineering and data science, aiming to make these processes scalable not only for DataBricks but also for its customers. Her favorite aspect of a career in data science is its ability to foster new learning opportunities.
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.
SDSS 2024: Lightning Talk Submission Open
The 2024 Symposium on Data Science and Statistics will feature plenary speakers from a variety of backgrounds who will offer thought-provoking sessions exploring topics such as data journalism, ethics and fairness, and the evolving AI research landscape.