Transportation policymaking in Chinese cities
MIT News Office | May 21, 2020

Using a novel methodology, IDSS affiliate Jinhua Zhao uncovered patterns in the development trends and transportation policies of China’s cities that may help decision-makers learn from one another.

A waiter in a tux wears a face shield at an upscale restaurant

Optimizing for society’s function in the wake of Covid-19
Forbes | May 20, 2020

IDSS professor Dick Larson envisions a complex model of society's function that identifies and weighs many variables — including but not limited to reducing pandemic deaths.

Extraction of aggregated metrics from mobile phone data.

How can mobile phone data help to tackle the COVID-19 pandemic?
AAAS | May 20, 2020

Media Lab and IDSS professor Sandy Pentland joins former students and collaborators to explore how mobile phone data can help inform public health actions.

Addison Stark

The next generation of energy leaders
MIT News Office | May 20, 2020

"The focus on systems thinking that was being employed in TPP and at the MIT Energy Initiative (MITEI) has been very important in shaping my thinking around the biggest challenges in climate and energy." MITei profiles Addison Stark (TPP '10).

Image of white blood cell

Marshaling artificial intelligence in the fight against Covid-19
MIT News Office | May 20, 2020

The MIT-IBM Watson AI Lab supports a project led by IDSS affiliate and Sloan professor Roy Welsch and IDSS Senior Research Scientist Stan Finkelstein to use machine learning to find approved drugs that can treat Covid-19.

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.

Elchanan Mossel

Elchanan Mossel named 2020 Vannevar Bush Faculty Fellow
US DOD | May 13, 2020

The Department of Defense awarded Mossel the fellowship, which "aims to advance transformative, university-based fundamental research," for his work 'Information Flows on Networks.'

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.

The Hornsdale Power Reserve

Storing renewables
UNA-UK | May 11, 2020

"Our models tell us that to lean heavily on renewable energy, we will need much cheaper energy storage," writes IDSS professor Jessika Trancik.

stay home sign

A checklist for effective COVID-19 public health messaging
MIT Sloan | May 8, 2020

Using insights from behavioral science, MIT Sloan professor and IDSS affiliate David Rand created a checklist for effective public health messaging that's based on the role of reputation and social enforcement.


© MIT Institute for Data, Systems, and Society | 77 Massachusetts Avenue | Cambridge, MA 02139-4307 | 617-253-1764 |