SES News

man's face and a collection of icons in the shape of another face

Can AI tell us when to use AI and when not to?
Forbes | November 8, 2020

SES student Hussein Mozannar contributes to the development of a machine learning system that can “assess a task and identify whether it’s one that would be best performed by a human expert or technology.”

Eaman Jahani

Inequality across networks
October 23, 2020

Eaman Jahani examines how resources are distributed across networks as a Social & Engineering Systems PhD student.

Fotini Christia

3 questions with Fotini Christia, the new Chair of the Social & Engineering Systems PhD program
October 23, 2020

Christia, a professor of political science and IDSS, says SES research focused on “data for the people” is cross-disciplinary research at its best.

Manon Revel

Understanding how people make sense of information in the information age
LIDS | October 22, 2020

As a student in LIDS and SES, Manon Revel has been investigating how advertising in online publications affects trust in journalism.

Automated health care system by Hussein Mozannar and David Sontag

An automated health care system that understands when to step in
MIT News Office | August 3, 2020

SES student Hussein Mozannar, working with Statistics and Data Science Center affiliate David Sontag, has developed a machine learning system that looks at chest X-rays to diagnose pneumonia — but also knows when to defer to a radiologist.

Zoom gallery of datathon participants

What is the Covid-19 data tsunami telling policymakers?
MIT News Office | July 1, 2020

A global team of researchers searched for insights during a weeklong virtual datathon co-organized by Marie-Laure Champignon, an IDSS Social and Engineering Systems PhD student.

IDSS 2020 graduates waving in a Zoom gallery

IDSS honors 2020 graduates with virtual celebration
June 25, 2020

This year's graduates included the first doctor of Social & Engineering Systems, Ian Schneider, plus 6 Engineering Systems PhDs, 17 TPP students, and more.

Minghao Qiu

Minghao Qiu named Martin Fellow by the MIT Environmental Solutions Initiative
MIT ESI | May 19, 2020

The fellowship, which supports MIT doctoral students pursuing sustainability research, was awarded to SES student Minghao Qiu for his work in air pollution and climate change policy.

Isolat researchers have designed and applied a method to model policy impact that they call ‘Synthetic Interventions.’ Based on the statistical method synthetic control, Synthetic Interventions is a data-driven way to perform what-if scenario planning, leveraging information from interventions that have been enacted around the world and fitting it to another setting.

Isolat: a data-driven response to a pandemic
May 12, 2020

Isolat, a volunteer collaboration organized by IDSS, informs coronavirus policy at MIT and beyond by analyzing data associated with the pandemic.

women sit in an audience, one speaks into a microphone

Promoting Women in Data Science
MIT News Office | April 20, 2020

WiDS Cambridge, co-hosted by the Institute for Data, Systems, and Society, recognizes and empowers women in STEM across a variety of disciplines.


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