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: Indiana University
    amount: $19,960
    city: Bloomington, IN
    year: 2019

    To support a workshop on improving rigor, reproducibility, and transparency in science

    • Program Economics
    • Sub-program Economic Institutions, Behavior, & Performance
    • Investigator David Allison

    To support a workshop on improving rigor, reproducibility, and transparency in science

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  • grantee: National Academy of Sciences
    amount: $25,000
    city: Washington, DC
    year: 2018

    To develop a shared vision and approach for a collaboration between NASEM, OECD and IAP to understand the impact of AI on work by assessing AI and robotics capabilities

    • Program Economics
    • Sub-program Economic Institutions, Behavior, & Performance
    • Investigator Stuart Elliott

    To develop a shared vision and approach for a collaboration between NASEM, OECD and IAP to understand the impact of AI on work by assessing AI and robotics capabilities

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  • grantee: University of Maryland, College Park
    amount: $1,975
    city: College Park, MD
    year: 2018

    To develop measurement tools for assessing public attitudes toward potential privacy protection techniques

    • Program Economics
    • Sub-program Economic Institutions, Behavior, & Performance
    • Investigator Frauke Kreuter

    To develop measurement tools for assessing public attitudes toward potential privacy protection techniques

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  • grantee: Cornell University
    amount: $50,000
    city: Ithaca, NY
    year: 2018

    To enhance the transparency, reproducibility, and replicability of empirical research in the social sciences by simplifying how authors can, when submitting a paper to a journal, also provide structured metadata about the provenance and archiving of code, data, and other supplementary materials

    • Program Economics
    • Sub-program Economic Institutions, Behavior, & Performance
    • Investigator Lars Vilhuber

    To enhance the transparency, reproducibility, and replicability of empirical research in the social sciences by simplifying how authors can, when submitting a paper to a journal, also provide structured metadata about the provenance and archiving of code, data, and other supplementary materials

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  • grantee: George Washington University
    amount: $50,000
    city: Washington, DC
    year: 2018

    To design, vet, and launch plans for federal agencies and private data holders to cooperate on improving federal economic statistics

    • Program Economics
    • Sub-program Economic Institutions, Behavior, & Performance
    • Investigator Andrew Reamer

    To design, vet, and launch plans for federal agencies and private data holders to cooperate on improving federal economic statistics

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  • grantee: University of Florida
    amount: $124,998
    city: Gainesville, FL
    year: 2018

    To pilot the acquisition, ingestion, and standardization processes necessary to compile a national voter registration database for use by academics and officials conducting non-partisan research

    • Program Economics
    • Initiative Empirical Economic Research Enablers (EERE)
    • Sub-program Economic Institutions, Behavior, & Performance
    • Investigator Michael McDonald

    To pilot the acquisition, ingestion, and standardization processes necessary to compile a national voter registration database for use by academics and officials conducting non-partisan research

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  • grantee: Fordham University
    amount: $7,500
    city: Bronx, NY
    year: 2018

    To support a global summit on anthropological contributions to research on business and economics

    • Program Economics
    • Sub-program Economic Institutions, Behavior, & Performance
    • Investigator Timothy Malefyt

    To support a global summit on anthropological contributions to research on business and economics

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  • grantee: University of California, Berkeley
    amount: $20,000
    city: Berkeley, CA
    year: 2018

    To support a workshop on improving the process and utility of eliciting expert forecasts of social science research results

    • Program Economics
    • Sub-program Economic Institutions, Behavior, & Performance
    • Investigator Stefano DellaVigna

    To support a workshop on improving the process and utility of eliciting expert forecasts of social science research results

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  • grantee: American Friends of Toulouse School of Economics
    amount: $300,000
    city: Salisbury, MD
    year: 2018

    To build out an open-source platform for reproducibly running large-scale behavioral experiments both online and in the laboratory

    • Program Economics
    • Sub-program Economic Institutions, Behavior, & Performance
    • Investigator Daniel Chen

    The suite of open source software tools known as “oTree” makes it simple to conduct behavioral experiments online or in laboratories. (The word “Tree” in the name refers to decision trees, and the prefix “o” stands for “open.”) Without the need for sophisticated programming, researchers can easily build and run games on oTree that test all kinds of hypotheses about human decision-making. This grant funds a project by Toulouse economics professor Daniel Chen to expand oTree’s capabilities. Planned improvements include handling large-scale experiments, supporting continuous-time games, integrating oTree with other open source tools, improving documentation, diversifying its users and funders, and enhancing its long-term sustainability.  

    To build out an open-source platform for reproducibly running large-scale behavioral experiments both online and in the laboratory

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  • grantee: California Institute of Technology
    amount: $308,614
    city: Pasadena, CA
    year: 2018

    To develop, test, and apply neuro-economic models of how decision-makers switch between habit-driven and goal-seeking behaviors

    • Program Economics
    • Sub-program Economic Institutions, Behavior, & Performance
    • Investigator Colin Camerer

    This grant supports a project by Caltech economist Colin Camerer to use insights from neuroscience to develop better predictions and explanations of consumer behavior. Camerer is developing, testing, and applying neuro-economic models of how people switch between behaviors that are habit-driven or routine on the one hand and behaviors that are goal-seeking and deliberative on the other—with particular focus on measuring the differences in price elasticities associated with one type of behavior vs. the other. Camerer will test the predictions of his model against a meta-analysis of previous results as well as in a field experiment using vending machines to measure economic variables, including price and quantity responses, and psychological variables, including response times and attention patterns.

    To develop, test, and apply neuro-economic models of how decision-makers switch between habit-driven and goal-seeking behaviors

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