Melding data, systems, and society
A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.
A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.
Through collaborations with organizations like BREIT in Peru, the MIT Institute for Data, Systems, and Society is upskilling hundreds of learners around the world in data science and machine learning.
More than 80 students and faculty from a dozen collaborating institutions became immersed at the intersection of computation and life sciences and forged new ties to MIT and each other.
MIT computer scientists developed a way to calculate polygenic scores that makes them more accurate for people across diverse ancestries.
The MIT and Accenture Convergence Initiative for Industry and Technology announces new graduate fellows.
Three graduate students forged a path to the same Picower Institute lab through participating in the MIT Summer Research Program in Biology and Neuroscience.
MIT Sloan Associate Professor Rahul Mazumder finds ways to create and refine statistical models with an array of applications.
A two-day conference at MIT reflected on the impact of the Institute for Data, Systems, and Society since its launch, as founding Director Munther Dahleh prepares to step down.
Widely recognized leader in statistics and machine learning to succeed Munther Dahleh.
The MicroMasters Program in Statistics and Data Science, with over 1,000 credential holders, brings MIT excellence to learners around the world.
“I wouldn’t let the aggressor in the war squash my dreams,” says Ukrainian mathematician and MITx MicroMasters learner Tetiana Herasymova.
MIT PhD candidate Jacob Jaffe uses data science to identify and solve problems in election administration.
Professor of electrical engineering and computer science will receive additional support to advance his research and career.
Brown and three other scientists recognized for advancing statistical, theoretical analyses of neuroscience data.
Natural language processing models capture rich knowledge of words’ meanings through statistics.