In studies of discrimination, one popular strategy is to estimate disparities after adjusting for observed covariates, typically with a…
The field of fair machine learning aims to ensure that decisions guided by algorithms are equitable. Over the last decade, several formal,…
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
The advent of large language models (LLMs) and their adoption by the legal community has given rise to the question: what types of legal…
Background
We aimed to characterize the prevalence of social disconnection and thoughts of suicide among older adults in the United States…
There is widespread concern that academic freedom is threatened by growing demands for intellectual conformity and attempted censorship…
In “Into the Bright Sunshine,” Samuel G. Freedman makes the case that Humphrey was part of the vanguard in the fight for civil rights.
Scholars at Harvard Kennedy School offer bipartisan path toward new strategy to confront risks of growing negative consequences from social…
/faculty-research/policy-topics/health/research-study-people-who-dont-trust-vaccines-often-get-covid
Findings identify potential media channels for reaching those who resist getting vaccinated.
Inequalities in voter participation between groups of the population pose a problem for democratic representation. We use administrative…
Predictive algorithms are now commonly used to distribute society’s resources and sanctions. But these algorithms can entrench and…