Stanford University
For The SPARQ Bias In Financial Markets Program
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Amount$250,000
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Program
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Date Awarded6/1/2018
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Term24 Months
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Type of SupportGeneral Support/Program
Overview
Stanford SPARQ (Social Psychological Answers to Real-world Questions) is a center in the social psychology area of the Stanford University Department of Psychology. Practitioners across sectors — from government, business, and nonprofits — work with SPARQ to solve communities’ most pressing problems, with the mission of creating and sharing social psychological insights with people working to improve society. This program grant will help SPARQ in its next phase of research on implicit bias in financial markets with respect to race and gender — conducted in partnership with Illumen Capital and the Stanford Global Projects Center. The grant will help the partnership design an intervention toolkit and set of evaluation tools, where bias may be measured directly before/after training, and then several months later to measure progress.
About the Grantee
Grantee Website
siepr.stanford.edu
Address
366 Galvez Street, Stanford, CA, 94305, United States
Grants to this Grantee
for support of the Policy Analysis for California Education program
Policy Analysis for California Education (PACE) is a nonpartisan policy and research center housed at Stanford University. It researches and analyzes education policy issues pertaining to California’s K-12 education system, bridging the gap between research and policy. This grant will help PACE produce relevant analysis and research, which can be used to better inform California education policy development and guide state and local decision making. (Strategy: K-12 Teaching and Learning)
for support of a neuroimaging study of racial bias and professional investors
SPARQ, a research center at Stanford University, seeks to reduce societal disparities and social divides using behavioral science. This grant will support research to examine racial diversity in the financial services industry. It is expected that this information will be used to develop strategies and practices to reduce biases that contribute to racial disparities.
