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.”

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Eaman Jahani

Inequality across networks
October 23, 2020

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

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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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