Grants Database

The Foundation awards approximately 200 grants per year (excluding the Sloan Research Fellowships), totaling roughly $80 million dollars in annual commitments in support of research and education in science, technology, engineering, mathematics, and economics. This database contains grants for currently operating programs going back to 2008. For grants from prior years and for now-completed programs, see the annual reports section of this website.

Grants Database

Grantee
Amount
City
Year
  • grantee: American Statistical Association
    amount: $438,183
    city: Alexandria, United States
    year: 2022

    To monitor and report on the health of the federal statistical system

    • Program Research
    • Initiative Empirical Economic Research Enablers (EERE)
    • Sub-program Economics
    • Investigator Steve Pierson

    Government, business, and individuals all need free and quick access to high-quality data to make good decisions. The 13 principal agencies that comprise the federal statistical system in the United States work hard to provide such information from the Census Bureau and the Bureau of Labor Statistics to the Bureau of Economic Analysis and the National Center for Science and Engineering Statistics. A 21st century statistical system should be able to process and provide data better than ever before. Recently, however, the U.S. statistical system has experienced chronic underfunding, weak interagency coordination, and other serious challenges to the integrity and privacy of their operations. So, we still do not have the kind of modern statistical system that other advanced countries take for granted. Nor is there consensus about how to prioritize or measure actions meant to improve the situation. The American Statistical Association (ASA) will therefore compile a report on the "State of the U.S. Data Infrastructure." The idea is to monitor and call attention to the health of federal statistical agencies. High political and financial stakes make it essential that any such evaluations be conducted in unbiased and authoritative ways. The project lead will be Steve Pierson, Director of Science Policy for the ASA since 2008. Pierson will collaborate closely with Jonathan Auerbach at George Mason University and Claire Bowen at the Urban Institute. The advisory board will be co-chaired by Nancy Potok (former Chief Statistician of the U.S.) and Constance Citro (former head of the National Academy's Committee on National Statistics). After collecting information through a wide variety of modes and sources, the advisory board will vet draft findings by holding a series of in-person workshops and meetings with agency leaders, survey experts, and other key stakeholders. Extensive dissemination of the final report will not only target statisticians, social scientists, and policymakers, but the public as well. The ASA eventually envisions launching a "Center for the Study of American Statistical Infrastructure" that would, among other activities, continue producing reports on a regular basis.

    To monitor and report on the health of the federal statistical system

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  • grantee: Social Science Research Council
    amount: $1,000,168
    city: New York, United States
    year: 2022

    To create a research consortium on Gender Equity in Economics that studies and promotes scalable interventions for increasing women’s representation in the economics profession

    • Program Research
    • Initiative Economic Analysis of Science and Technology (EAST)
    • Sub-program Economics
    • Investigator Anna Harvey

    The statistics may not be too surprising, but they are daunting. Although women are better educated than men in general (they receive 55% of all undergraduate degrees), they are severely underrepresented in economics at all levels: undergraduate (only 34%); PhD (35%); and tenure-track positions (22%). Effective interventions to fix this problem are urgently needed, but few reliable ones have been tried, much less tested at scale. Even those policies that have shown promise in small trials (e.g., mentorship programs, study groups, and peer advising) have not yet been widely adopted across large groups of colleges and universities.Anna Harvey, NYU Professor and President of the Social Science Research Council (SSRC), will launch a "Consortium on Gender Equity in Economics" to identify and support research on practical interventions that, if proven successful, have real potential to be adopted in a wide range of settings. Harvey argues that, given the reward structure in academia, researchers have little incentive to develop, evaluate, or scale interventions that could actually make a big difference, nor are they rewarded for working with university or department leaders who might want to take action but are unsure where to begin.The SSRC will organize this Consortium jointly with the American Economic Association’s Committee on the Status of Women in the Economics Profession (CSWEP). The first part of their plan is to fund original research about scalable interventions for increasing the number of women in economics. The SSRC will issue a call for projects that deploy in the fall of 2023. Criteria for selection will be based, in part, on recent theories about what helps programs scale successfully. It helps, for example, to be simple and inexpensive with costs decreasing as the number of participants increases, and to have been developed with the involvement of decision-makers from the onset.Consistent with aiming for impact, the second part of the project will further engage potential adopters. The plan is to hold a series of convenings designed to foster and facilitate uptake of the research results. Funded teams, along with other experts on gender representation in economics, will run special workshops at annual conferences for college and university leaders. Chairs of the 250 economics departments in the CSWEP Liaison Network will also help promote and implement the Consortium’s evidence about what works. For an academic project, this effort is extraordinarily committed to being more than an academic exercise.

    To create a research consortium on Gender Equity in Economics that studies and promotes scalable interventions for increasing women’s representation in the economics profession

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  • grantee: University of Virginia
    amount: $250,000
    city: Charlottesville, United States
    year: 2022

    To launch a Use Case Research Program that will help inform, test, and prioritize the design of a Curated Data Enterprise as envisioned by the Census Bureau

    • Program Research
    • Initiative Empirical Economic Research Enablers (EERE)
    • Sub-program Economics
    • Investigator Stephanie Shipp

    To launch a Use Case Research Program that will help inform, test, and prioritize the design of a Curated Data Enterprise as envisioned by the Census Bureau

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  • grantee: Bipartisan Policy Center
    amount: $240,000
    city: Washington, United States
    year: 2022

    To translate academic research on industrial policy into guides and options for policymakers

    • Program Research
    • Sub-program Economics
    • Investigator Dane Stangler

    To translate academic research on industrial policy into guides and options for policymakers

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  • grantee: Vassar College
    amount: $49,948
    city: Poughkeepsie, United States
    year: 2022

    To address the technical privacy concerns that arise when disaggregating the demographic data needed for equitable and evidence-based policymaking

    • Program Research
    • Sub-program Economics
    • Investigator Jingchen Hu

    To address the technical privacy concerns that arise when disaggregating the demographic data needed for equitable and evidence-based policymaking

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  • grantee: Association for Computing Machinery
    amount: $36,000
    city: New York, United States
    year: 2022

    To support diverse participation in the first-ever in-person conference on ‘Equity and Access in Algorithms, Mechanisms, and Optimization’

    • Program Research
    • Initiative Economic Analysis of Science and Technology (EAST)
    • Sub-program Economics
    • Investigator Ana-Andreea Stoica

    To support diverse participation in the first-ever in-person conference on ‘Equity and Access in Algorithms, Mechanisms, and Optimization’

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  • grantee: American Economic Association
    amount: $49,735
    city: Nashville, United States
    year: 2022

    To reduce the financial burden of participating in a mentoring workshop for women and non-binary Ph.D. students in economics

    • Program Research
    • Sub-program Economics
    • Investigator Johanna Catherine Maclean

    To reduce the financial burden of participating in a mentoring workshop for women and non-binary Ph.D. students in economics

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  • grantee: New York University
    amount: $50,000
    city: New York, United States
    year: 2022

    To assess errors in demography-based race prediction algorithms and explore their implications

    • Program Research
    • Sub-program Economics
    • Investigator Sabrina Howell

    To assess errors in demography-based race prediction algorithms and explore their implications

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  • grantee: Balliol College in the University of Oxford
    amount: $249,000
    city: Oxford, United Kingdom
    year: 2022

    To form the International Panel on the Information Environment, an independent and multidisciplinary scientific panel for assessing algorithmic bias, manipulation, and misinformation

    • Program Research
    • Initiative Behavioral and Regulatory Effects on Decision-making (BRED)
    • Sub-program Economics
    • Investigator Philip Howard

    To form the International Panel on the Information Environment, an independent and multidisciplinary scientific panel for assessing algorithmic bias, manipulation, and misinformation

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  • grantee: University of Oxford
    amount: $238,695
    city: Oxford, United Kingdom
    year: 2022

    To incorporate multi-agent perspectives into the foundations of statistics and machine learning

    • Program Research
    • Sub-program Economics
    • Investigator Maximilian Kasy

    To incorporate multi-agent perspectives into the foundations of statistics and machine learning

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