Big Data for Bigger Questions
Consider the following vital questions: Are Black and Latinx artists represented proportionally in US museums? Why are some professional fields dominated by men and others by women? How can judges achieve equitable outcomes for defendants, regardless of their race or gender — and how can we hold them accountable when they don’t or won’t? The mathematical sciences have the potential to address these questions at a level of detail undreamt of a decade ago. The Institute for the Quantitative Study of Inclusion, Diversity, and Equity, Inc. (QSIDE) brings the vanguard of quantitative methods together with expertise from the social sciences, humanities, and arts to discover the impact and scope of injustices, and partners with grassroots activist organizations to build solutions to remedy them.
Diversity on Display: Who’s on the wall in the National Gallery of Art?
Women represent only 9.8% of the works of art in the National Gallery’s permanent collection, while people of color represent an even more abysmal 1.8%. The National Gallery’s curatorial practice actually exacerbates this underrepresentation.
In the United States, the public has a constitutional right to access criminal trial proceedings. In practice, it can be difficult or impossible for the public to exercise this right — until now.
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New York City Jails & COVID-19
During the early stages of the COVID-19 pandemic in 2020, Mayor Bill de Blasio ordered the release of New York City jail inmates who were at high risk of contracting the disease and at low risk of committing criminal reoffense. Using public information, we construct and analyze a database of nearly 350,000 incarceration episodes in the city jail system from 2014 – 2020.
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Predictive Affirmative Action
Can we predict outcomes of affirmative action policies? What are the policies and practices that are most effective and predictive in helping to achieve an organization’s DEI goals? Our model provides insights to help guide decisions. (In final revisions, pre-submission.)