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algorithms

New Member Spotlight: Collin Nill

August 3, 2026 Leave a Comment

Meet Collin Nill, a University of Connecticut statistics student drawn to the field by a love of math and a desire to tackle problems numbers alone can’t solve.

Giansiracusa to Receive 2026 JPBM Communications Award

October 1, 2025 Leave a Comment

Gold trophy with gold stars on a gray background

Noah Giansiracusa has been named the 2026 JPBM Communications Award recipient for his books, media work, and public engagement highlighting the societal impacts of algorithms.

Stats4Good: Big Data Methods for Data for Good

June 1, 2020 Leave a Comment

Data for Good looks at the big data revolution and how it affects our approaches to problem-solving, as well as examples of how big data is being applied.

Joyee Ghosh

March 1, 2020 Leave a Comment

Joyee Ghosh had to choose between taking a statistics or biology course in high school. Because the thought of dissecting frogs terrified her, she chose statistics. Today, she is an associate professor in the department of statistics and actuarial science at the University of Iowa. When students ask her for career advice, she tells them they should follow their heart, work hard, and take things as they come.

Bonnie K. Ray

March 1, 2018 Leave a Comment

Bonnie Ray always loved mathematics, but it was during a summer internship at Texas Instruments that she began to appreciate the power of computing. She currently leads data science activities at Talkspace, a NYC-based startup that enables improved mental health for all by providing an affordable, accessible, and secure platform for messaging-based psychotherapy.

Statistics Ready for a Revolution

September 1, 2010 2 Comments

The statistics profession is ready for a revolution, one driven by clear, objective benchmarks by which tools can be evaluated. Is the new generation of statisticians ready to take on this challenge?

Special Issue Features Anomaly Detection

February 1, 2010 2 Comments

The February 2010 special issue of Technometrics features several articles detailing some of the fascinating applications in which statistical data analysis is used to detect unusual circumstances, or anomalies.

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