πŸš€ Data Science Day 2026 Registration Is Now Open!

Dear all, πŸš€ Data Science Day 2026 Registration Is Now Open! Ready to explore the future of AI from one of Boston’s most innovative venues? Join us on October 17, 2026, for Data Science Day 2026, hosted by New England Statistical Society (NESS) NextGen, at the award-winning Computing & Data Sciences Building at Boston University. Located on the 17th floor, this stunning venue provides the perfect setting for a day of learning, networking, and discovery in data science and AI.

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In Memory of Herman Chernoff: July 1, 1923 – July 6, 2026

OBITUARY In Memory of Herman Chernoff: July 1, 1923 – July 6, 2026 (First draft prepared by Joe Cappelleri, August 2, 2026) Professor Herman Chernoff, age 103, of Boston, MA, passed away peacefully on July 6, 2026. Herman was born on July 1, 1923, in New York City, to Pauline (Markowitz) and Max Chernoff. Chernoff met his future wife, Judith, when they were both graduate students at Brown University in 1945, and married her in 1947.

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Registration Is Open for the DahShu Data Science Symposium 2026 (October 22–23, 2026)

Registration is now open for the DahShu Data Science Symposium 2026, taking place on October 22–23, 2026, at the Joseph B. Martin Conference Center, Longwood Amphitheatre, Harvard Medical School, Boston, Massachusetts. This year’s theme is: β€œThrive with statistical thinking in the age of AI: inference, uncertainty, and interpretability guiding high-impact decisions.” DSDSS 2026 will bring together researchers and professionals from biotechnology, pharmaceutical science, academia, healthcare, public health, and quantitative science.

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Registration Is Open for the 9th Annual New England Rare Disease Statistics Workshop (October 8–9, 2026)

We are excited to announce that registration is now open for the 9th Annual New England Rare Disease Statistics (NERDS) Workshop: Register Here This year’s workshop will take place October 8–9, 2026, at the Hyatt Regency Boston/Cambridge. Join regulators, academic researchers, industry statisticians, and quantitative scientists for two days of scientific exchange, collaboration, and networking focused on advancing rare disease development through innovative statistical methods, real-world evidence, artificial intelligence, and regulatory innovation.

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