Jonathan Shuster offers a commendation and response to Professor Gang Xie for his editorial, “A Practicing Statistician’s Plea.”
A Statistician's View
A Practicing Statistician’s Plea
Gang (John) Xie from Charles Sturt University, Australia, shares a compelling call to action for statisticians and researchers to address a critical issue in scientific research: the disconnect between statistical theory and its real-world application.
Rethinking Faculty Research Evaluation
Bertrand Clarke, Murali Haran, Galin Jones, and Steven MacEachern look at academia and the increasing emphasis on publishing many papers.
The United States Needs to Fill the Gaps in Its Crime Statistics
Janet L. Lauritsen says the US lacks sufficient data for many types of crime of great concern to society, and this is particularly the case for crimes falling under federal jurisdiction.
Like College Students, ChatGPT Finds Statistics Difficult
Norman Matloff, computer science professor at the University of California, Davis discusses whether ChatGPT is up to the task of doing statistics at the level demanded of students.
A Statistician’s View: New Year Hopes for Andreas Georgiou as Court Decisions Loom
Interviewed recently for The Amherst Student, Georgiou said his legal troubles are “always a little bit tiring to the heart to think about.” But 2023 brings with it hope that justice, long denied, is still in reach.
What Is Statistics?
Is the field of statistics a branch of mathematics, science, or something else altogether?
Finding the De-Anonymization Needle in the SEER Haystack
Chris Barker invites interested members to help develop a “data privacy toolbox” that statisticians and data scientists can use in their day-to-day work.
Modernizing Government Statistics for the 21st Century
Anil Arora says the data ecosystem has expanded enormously in recent years and the responsible use of new data sources is allowing statisticians to see sooner and act faster.
A Call for More Graduate Programs in Statistics Education
Sam Behseta, Cherie Ichinose, and David Drew put forth the view that closing the gap in students’ appreciation of statistical thinking and decision-making under uncertainty can only be achieved if we train the next generation of academics with expertise in statistics education.