This weekly recap focuses on the decline of dementia rates among Americans, the dangers of deepfakes, data privacy after the reversal of Roe v. Wade, and more.
Machine learning (ML) can have a significant impact on public policy by modeling complex relationships and augmenting human decisionmaking. But overconfidence in results and incorrectly interpreted algorithms can lead to peril. With interpretability, ML can achieve its promise of more-equitable policy decisions.
This report assesses the cost-effectiveness of a U.S. Coast Guard rule that requires any facility handling certain dangerous cargoes to biometrically verify the identity of anyone accessing a secure area of that facility.
Until privacy protection laws are cemented into place, consumer privacy won't be assured unless consumers can effectively take the steps they need to take to protect their data. Tech companies might view this as a burden, but there will likely be profits for those companies that instead see it as an opportunity.
Four machine-learning models were tested to see how accurately they detected truthfulness and deceit during simulated security clearance background interviews. How people answered questions was just as important as what they said.
The authors of this report developed and tested the use of machine-learning methods to detect speech patterns that reflect attempts at deception or truthfulness during simulated security clearance background interviews.
The purpose of this report is to assist Department of Defense decisionmakers called upon to respond to adverse economic shocks by identifying opportunities for improving analysis of shocks and their effects on U.S. defense postures.
This study aims to build on the understanding of the links between employees' work behaviours, health and wellbeing and workplace outcomes by analysing an employee dataset incorporating Microsoft-collected workplace telemetry data.
Future quantum computers could create a significant national security risk by enabling attackers to break a foundational element of security in America's networked communication infrastructure. The United States is taking strides to address national security risks from quantum computing, but there is a long road ahead.
This tool is a comprehensive attempt to combine financing data, land use, and service operation records for permanent supportive housing projects in Los Angeles County into a publicly available map-based database.
In this tool, researchers provide detailed information about data associated with the National Instant Criminal Background Check System and discuss the data's strengths and weaknesses for various gun policy evaluation objectives.
The National Guard Youth ChalleNGe program serves young people experiencing difficulty in traditional high school. This report documents program trends in 2020–2021 and presents analyses on the Job ChalleNGe program.
The Supreme Court decision to overturn Roe v. Wade has providers and health advocates strategizing about how to provide more abortions where it is still legal. Expanding virtual medical visits is one popular idea. Policymakers and clinics could take steps to make telemedicine better understood, easier to use, and more equitable.
The authors of this report explore the use of agent-based modeling as a method for studying the effects of information and communications technologies on the formation, maintenance, and dissolution of social movements over time.
The U.S. government should consider offering a public cash bounty to anyone who can crack the new forms of encryption that are being rolled out to defend against quantum computers. If a bounty helps catch a vulnerability before it's deployed, then the modest cost of the bounty could prevent much higher costs down the line.
This tutorial describes the use of the TWANG package in R to estimate propensity score weights when there are two treatment groups, and how to use TWANG to estimate nonresponse weights.
This tutorial describes how to use a menu-driven Shiny application based on the Toolkit for Weighting and Analysis of Nonequivalent Groups (TWANG) R package.
The RAND Corporation, a nonprofit, nonpartisan research institution, is partnering with the Poynter Institute, a global nonprofit dedicated to journalistic excellence, to develop education and training for journalists on today's most pressing policy issues and the process of research and analysis.
RAND is partnering with the Poynter Institute to create innovative educational opportunities for journalists. Programming will focus on breaking down the policy research process and how policy issues affect the general public.
Various AI technologies are ripe for use in disinformation campaigns. Deepfake videos represent an obvious threat, but voice cloning, deepfake images, and generative text also merit concern. And websites now offer access to deepfake services.
