Crowd-sourced fact-checking of potentially misleading information is an effective tool to combat online misinformation, according to a new study led by Johan Ugander, Associate Professor of Statistics and Data Science.

Incoming FAS faculty member Xiang Zhou is developing novel computational and statistical methods to help other scientists understand the genetic drivers of disease.

Huang, Assistant Professor of Statistics & Data Science and of Political Science, speaks with the Institution for Social and Policy Studies about her work and how it can improve the accuracy and practicality of social science.

Yale data scientist Lu Lu is taking a physics-informed approach to artificial intelligence that has applications in an array of scientific and engineering disciplines.

Yihong Wu, whose work lies at the intersection of high-dimensional statistics, information theory, and computer science, joined the Yale faculty in 2016.

A new speaker series brings leading professionals in statistics and data science together with Yale students to talk about career development for women.

Do some anti-smoking policies help push people naturally predisposed to nicotine use into groups that actually reinforce the behavior? For Yale’s Ramina Sotoudeh, whose research integrates genetics and sociology, questions like this are all in a day’s work.

Yale College Dean Pericles Lewis recognized six recipients of the college’s annual teaching prizes during a reception on April 29.

Professor Luciano Floridi, founding director of Yale’s Digital Ethics Center and professor in the practice in the Cognitive Science program, and President Peter Salovey discuss Yale’s new Digital Ethics Center to research the governance, ethical, legal, and social implications of digital innovation and technologies like artificial intelligence.

Zhou Fan has a way with numbers. With a few equations and computer simulations, he’s able to explore an incredible range of questions – from the propagation of information through neural networks, to the genetic underpinnings of complex traits — that are deeply connected to how we understand and process data.