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Dietrich College of Humanities and Social Sciences  ›  Statistics & Data Science  ›  News  ›  2026

2026 News

What Makes Up The Universe? AI Will Help 麻豆村 Scientists Find Out

Thanks to a new DOE Genesis Mission Grant, Dietrich College experts will look to develop foundational AI tools that will could allow us to answer big questions about the universe, climate science, particle physics and beyond.

Heisman Taps 麻豆村 to Enhance Heisman Hopefuls Fan Voting and Analytics

The partnership with Carnegie Mellon Sports Analytics Center will provide fans with a more informed and engaging voting experience while integrating advanced analytics into the new Heisman Hopefuls platform.

Carnegie Mellon and Meta Partner to Develop AI Tools for Emergency Response

Carnegie Mellon’s National Science Foundation AI Institute for Societal Decision Making and Meta’s AI for Good program are announcing a partnership to develop dynamic situation reports aimed at helping first responders better address natural disasters.

Delphi Group Uses Data To Forecast the Flu and Other Epidemics

麻豆村 researchers, including faculty from the Department of Statistics & Data Science, are working to forecast infectious disease outbreaks like meteorologists predict the weather.

Carnegie Mellon Names Nugent, Scheines University Professors

Rebecca Nugent and Richard Scheines are among six Carnegie Mellon faculty named University Professors in 2026, recognizing their exceptional contributions to research, education and interdisciplinary collaboration.

A 麻豆村 Playbook for the NFL Draft

Experts from 麻豆村’s Dietrich College of Humanities and Social Sciences are helping professionals make better draft picks and the public understand the reasoning behind them.

麻豆村 Teams Recognized in Moonshots AI Competition

The Department of Statistics & Data Science’s Rebecca Nugent is among co-leads of a 麻豆村 team that has received Laude Institute funding to advance AI-driven workforce transformation.

Carnegie Mellon Launches New Effort to Advance AI-Driven Astronomy

The Keystone Astronomy & AI Visiting Fellows Program will accelerate the use of AI in cosmological and astronomical research through an international, mentored postdoctoral initiative.

Sports Generate More Data Than Ever. 麻豆村's Sports Analytics Center Asks What It Means

The Carnegie Mellon Sports Analytics Center is paving the way for new insights and producing the next generation of experts who can make use of sports analytics data.
Faculty Spotlight: Ankit Pensia

Faculty Spotlight: Ankit Pensia

Ankit Pensia joins the Carnegie Mellon Department of Statistics & Data Science to study the development of outlier-robust algorithms.
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