Massachusetts Institute of Technology

For A Joint Position In Electrical Engineering And Computer Science And Economics

  • Amount
    $500,000
  • Program
  • Date Awarded
    10/20/2022
  • Term
    12.0 Months
  • Type of Support
    Project
Overview
The mission of the MIT Stephen A. Schwarzman College of Computing is to address the opportunities and challenges of the computing age from hardware to software to algorithms to artificial intelligence by transforming the capabilities of academia in the three key areas: computing fields, computing across disciplines, and social and ethical aspects of computing. This grant supports a dual position in the departments of Electrical Engineering and Computer Science and Economics at MIT, with the goal of catalyzing the integration of behavioral science into computer science.
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 MITs 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.

Search Our Grantmaking


By Keyword