Post-pandemic, supply chains retool for a new (ab)normal
COVID-19 didn’t break the supply chain, it simply accelerated changes already underway, says IDSS affiliate Yossi Sheffi. His new book details what’s coming next.
READ MORE
Seeking the cellular mechanisms of disease, with help from machine learning
Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness.
READ MORE
3 Questions: Defining the Institute’s values
IDSS core faculty Daniel Hastings shares his experiences as a co-chair of MIT’s Values Statement Committee.
READ MORE
School of Engineering welcomes new faculty
Fifteen new professors, including IDSS core faculty Navid Azizan, join the MIT community.
READ MORE
How AI with MIT Roots Guided Greece’s Covid Testing at the Height of Tourist Season
LIDS alumnus Kimon Drakopoulos partnered with the Greek government on a machine learning-based tool to guide the distribution of resources.
READ MORE
Ridesharing intensifies urban road congestion
Study by researchers including IDSS affiliate faculty Jinhua Zhao suggests potential benefits of on-demand shared mobility are complicated in real world situations.
READ MORE
Powering the energy transition with better storage
Researchers, including IDSS alumni Jesse Jenkins, evaluate the role and value of long-duration energy storage technologies in securing a carbon-free electric grid.
READ MORE
Tamara Broderick awarded membership in 2021 COPSS Leadership Academy
Prof. Broderick, IDSS affiliate faculty member, received the award in recognition of her significant contributions to Bayesian nonparametrics and machine learning.
READ MORE
Broad Institute launches the Eric and Wendy Schmidt Center to connect biology and machine learning
Supported by a $150 million endowment from Eric and Wendy Schmidt, the center will create a new field of interdisciplinary research aimed at improving human health.
READ MORE
3 Questions: Artificial intelligence for health care equity
IDSS Associate Director Fotini Christia in a discussion on how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
READ MORE
