As far back as the industrial revolution, significant development in technical innovation has
succeeded in transforming numerous manual tasks and processes that had been in …

The nascent adoption of Artificial Intelligence (AI) in the public sector is being assessed in
contradictory ways. But while there is increasing speculation about both its dangers and its …

Abstract Machines are increasingly doing “intelligent” things. Face recognition algorithms
use a large dataset of photos labeled as having a face or not to estimate a function that …

Gun violence is the most pressing public safety problem in US cities. We report results from
a randomized controlled trial (N= 2,456) of a community-researcher partnership called the …

Most empirical policy work focuses on causal inference. We argue an important class of
policy problems does not require causal inference but instead requires predictive inference …

Public agencies aiming to enforce environmental regulation have limited resources to
achieve their objectives. We demonstrate how machine-learning methods can inform the …

We analyze how fatal shootings in high schools affect schools and students using data from
shooting databases, school report cards, and the Common Core of Data. We examine …

This paper shows how machine learning (ML) methods can be used to improve the
effectiveness of public schemes and inform policy decisions. Focusing on a massive tax …

Artificial Intelligence (AI) is one of the emerging technologies being adopted both in the
government and the public sectors with nascent applications. Although there are several …

Violence and delinquency levels in Central America are among the highest in the world and
constrain human capital acquisition. We designed and conducted a randomized experiment …