Practitioners, researchers, and educators are invited to to submit abstracts by November 30 for SDSS 2027, to be held April 27–29 in Pittsburgh, Pennsylvania.
Departments
When Doing Your Job Requires Courage
James Cochran reflects on Andreas Georgiou’s vindication after 15 years of legal battles over statistical independence, arguing that institutions must protect integrity so it doesn’t require heroism.
The Numbers That Run the World: Why Economic Statistics Matter More in the Age of AI
Dharmateja Priyadarshi Uddandarao argues that as AI reshapes the economy, official statistics are struggling to keep pace, leaving trillions in value unmeasured. He explains why statisticians’ judgment is essential for deciding what the numbers actually capture.
Translating Data Science into Public Health Action: Lessons and Reflections on Academic–Industry Partnerships
Collaborations between academia and industry in nutrition and health data science are shaped by a fundamental tension—academia seeks to generate generalizable knowledge, while industry is driven to produce timely, actionable, and consumer-relevant solutions. Rather than being a flaw, this difference is a defining feature.
JSM 2026: Communities in Action Draws Thousands to Boston
The 2026 Joint Statistical Meetings brought together more than 5,500 statisticians and data scientists from academia, industry, and government to Boston this past August. Read a recap of this year’s major events and see photos from the conference.
As AI Does More Analytics, What Should Statisticians Do More Of?
AI can generate code, fit competing models, produce visualizations, and summarize results at a speed that would have been difficult to imagine not long ago. For statisticians, this raises an uncomfortable but useful question: As AI does more analytics, what should statisticians do more of?
‘Statistical Education of Teachers (SET) II’ Charts a Course for Teaching Statistics and Data
“Statistical (and Data) Education of Teachers (SET) II” prepares teachers to teach statistics and data across grade levels and subject areas.
2026 ‘Guidelines for Assessment and Instruction in Statistics and Data Science Education (GAISE) College Report’ Set for Launch
Building on the familiar advice to teach with more data, less lecturing, the updated report expands guidance for teaching introductory statistics and data science courses.
What Students Taught Me About Teaching Statistics
Jaya Satagopan reflects on how the classroom has become a laboratory for continuous improvement—where students’ questions, challenges, and successes help shape teaching statistics.
Students’ Statistical Thinking When Using Generative AI
Amos Jeng and V. N. Vimal Rao explore what happens when students use Rtutor.AI, a generative AI tool designed to help translate statistical questions into R code.