RAND's Ben Boudreaux describes how contact tracing can be used to track the spread of COVID-19 and explains the differences between manual and automated contact tracing.
The authors examine and recommend opportunities for applying artificial intelligence and, more broadly, automation to deliberate planning for joint all-domain command and control for the U.S. Air Force.
This tutorial describes how to use a menu-driven Shiny app based on the Toolkit for Weighting and Analysis of Nonequivalent Groups (TWANG) R package. It can be used to estimate propensity score weights and treatment effects for binary treatments.
This Perspective outlines the role that data science can play in decisionmaking processes and provides a selected set of key questions and sensitivities for the U.S. Coast Guard to consider in developing its future usage of this expanding field.
As social media is increasingly being used as a primary source for news, there is a rising threat from the spread of malign and false information. A new machine learning model identified differences between authentic political supporters and Russian trolls shaping online debates about the 2016 U.S. election. How could the model be applied in the future?
Digital platforms that let users interact virtually and often anonymously have given rise to harassment and other criminal behaviors. Tech-facilitated abuse—such as nonconsensual pornography, doxing, and swatting—compromises privacy and safety. How can law enforcement respond?
Of the records abstracted, many revealed incomplete provider documentation regarding the details of and rationale for care. Better documentation and more standardized record keeping would facilitate future research using patient records.
This article documents the challenges and the efforts involved in designing data collection tools to facilitate the inclusion of patient data into appropriateness decisions.
This report examines how the private sector addresses data governance and analytics to inform how the Department of Defense can develop and apply advanced analytics to acquisition challenges.
The pandemic is an unprecedented public health crisis. But the response from science, technology, and innovation communities has been remarkable. It proves that innovation and learning, interdisciplinary methods and collaboration, information and data sharing, and adaptability are more important than ever.
This weekly recap focuses on how COVID-19 has affected U.S. schools, potential barriers to vaccine uptake, what small businesses need to survive, and more.
The phrase “flatten the curve” familiarized Americans with epidemiological models used to estimate virus transmission, cases, and potential deaths from COVID-19. But new models are needed as the country enters a different stage of the crisis.
This weekly recap focuses on the health and economic consequences of states reopening, the dangers of 'Truth Decay' during the coronavirus crisis, helping refugees, and more.
In this Call with the Experts podcast, RAND researchers say new epidemiological models are needed as the country enters a different stage of the COVID-19 crisis, one in which changed behaviors must be taken into account.
This weekly recap focuses on why we need a blueprint for a post-vaccine world, helping domestic abuse victims during COVID-19, the pandemic's historic economic effects, and more.
Much like America's aging physical infrastructure, America's digital infrastructure needs updating. To fix these urgent problems, local, state, and federal governments could turn to best practices used in the private sector to develop more reliable software.
Face recognition technologies (FRTs) offer opportunities to improve identification efforts, but they also raise concerns about privacy and bias. Understanding the trade-offs between the utility and risks of FRTs is crucial for evaluating their adoption and implementation.
Personal smart devices offer an unprecedented opportunity to identify, track, map, and communicate about COVID-19. But apps could pose privacy and security concerns.
The need for immediate answers in the face of severe public health and economic distress may create a temptation to relax statistical standards. But urgency should not preclude expert analysis and honest assessments of uncertainty. Mistaken assumptions could lead to counterproductive actions.
