Massachusetts Institute of Technology
For Support Of The Governance Lab
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Amount$1,000,000
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Program
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Date Awarded5/21/2019
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Term24.0 Months
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Type of SupportGeneral Support/Program
Overview
This grant will enable the Massachusetts Institute of Technology Governance Lab (MIT Gov/Lab) to develop a doctoral training program, creating a pipeline of scholars trained in collaborative research with practitioners and enabling others to replicate the model. The MIT Gov/ Lab will build on existing work in East and West Africa and expand research-practitioner collaborations to Mexico, Brazil, and Asia. It will experiment with new ways of collaborating with practitioners to identify important research questions and co-producing scholarship. The MIT Gov/ Lab will develop and disseminate tools and templates of its practitioner-oriented research model to use in doctoral trainings and expand its reach through collaborations with other research institutions, particularly in low- and middle-income countries.
About the Grantee
Grantee Website
www.mit.edu
Address
77 Massachusetts Avenue 26-237, Cambridge, MA, 02139-4307, United States
Grants to this Grantee
for CEEPR’s Industrial Strategy Economic Monitor
A team at MIT, in collaboration with researchers at Stanford and Employ America, is developing the Industrial Strategy Economic Monitor to assess progress implementing U.S. industrial strategy. The monitor will feature a data tool enabling users to easily visualize and download data — including on employment, input costs, investment, output, and trade — and a dashboard summarizing data by industry and production stage. It will facilitate close-to-real-time assessment of tailwinds and headwinds for targeted industries and the broader macroeconomy, spur debate and research on the best way to evaluate industrial strategies, and promote high-quality, nonpartisan analysis of the industrial strategy experiment.
for support of the AI + Open Education Initiative
MIT Open Learning transforms education at MIT and around the globe through innovative digital technologies. With this grant, MIT Open Learning will solicit rapid response papers and multimedia projects from stakeholders in the United States and internationally to articulate how generative AI might accelerate (or hinder) the promise of open education to offer engaging learning experiences. This work will draw upon MIT’s connections with trailblazers who are shaping AI and open education, and it will inform approaches for developing effective teaching practices and bolstering an inclusive open education field responsive to diverse stakeholders. (Substrategy: Field Building)
for support of the Election Data and Science Lab
The MIT Election Data and Science Lab advances and disseminates scientific knowledge about the conduct of elections, primarily in the United States but with attention to the rest of the world. By addressing the multiple audiences of academic researchers, the general public, and practitioners, it serves a unique role among individuals and institutions dedicated to improving the conduct of American elections, and it supports a growing network of election science research centers across the U.S.
