Data Science


  • Report

    Making Sense of Pathogen Surveillance

    Pathogen surveillance—collecting and sharing data about infectious diseases and antimicrobial resistance—informs key public health decisions. What pathogen surveillance initiatives exist currently? And what are the main challenges they face?

    Nov 15, 2023

  • Visualization

    Rage Against the Machine? How AI Could Affect the Future of Work

    Understanding how technology and artificial intelligence have—and have not—affected jobs in the past can provide insights on the future of the American workforce. What is the relationship between occupational exposure and technologies, wages, and employment related to artificial intelligence?

    Oct 11, 2023

Explore Data Science

  • Report


    National Guard Youth ChalleNGe: Program Progress in 2021–2022

    The National Guard Youth ChalleNGe program serves young people ages 16 to 18 experiencing difficulty in traditional high school. This report covers the program years 2021–2022 and is the seventh in a series on this quasi-military residential program.

    Jun 1, 2023

  • Senior woman registering at the hospital, photo by andresr/Getty Images


    Health Care Price Transparency: Opportunities to Improve Affordability and Data Effectiveness

    Significant progress has been made to increase the transparency of health care prices at the federal and state levels, but much more needs to be done to leverage price transparency data. Enabling broader use of these data can help address price variation and health care spending.

    May 16, 2023

  • Getty


    Health Care Price Transparency: Opportunities to Improve Affordability and Data Effectiveness

    Testimony presented before the U.S. House of Representatives Committee on Ways and Means on May 16, 2023.

    May 15, 2023

  • ChatGPT user interface is seen on a smartphone screen over a keyboard, photo by Nikos Pekiaridis/NurPhoto via Reuters


    AI, ChatGPT, and Language as Technology: Q&A with William Marcellino

    William Marcellino, a senior behavioral and social scientist at RAND and professor at the Pardee RAND Graduate School, discusses the rapidly expanding reach of artificial intelligence, the challenges it could pose for both society and policymakers, and how the research community is poised to help.

    May 12, 2023

  • ChatGPT logo in an illustration from March 31, 2023 ,photo by Dado Ruvic/Reuters, photo by Dado Ruvic/Reuters


    ChatGPT's Work Lacks Transparency and That Is a Problem

    In a world with Large Language Models such as ChatGPT, there is a growing need for modernized data literacy. Developers need to be more transparent about their algorithms and data sources so that people can assess the inherent sources of bias or problems with the approach.

    May 8, 2023

  • Journal Article

    Journal Article

    Development of a Medicare Plan Dashboard to Promote Health Equity

    The HESS dashboard is a potentially useful tool for presenting data on health equity to health plans.

    Apr 14, 2023

  • Report


    Data-Enabled Approaches for Enhancing the Air Force Transformational Capability Pipeline

    To aid the Air Force Transformational Capabilities Office, the authors of the report developed a data science tool to extract information from free-text descriptions. They demonstrate the tool and foresight methods in three case studies.

    Mar 23, 2023

  • Data and Devices


    Devices and Data: The Information We Share

    RAND mathematician Mary Lee describes the wide variety of personal data collected by smart devices and applications, such as smartwatches, brain implants, and period trackers.

    Feb 28, 2023

  • Report


    Harnessing Mobile Technology to Enable U.S. Personnel Vetting

    The authors examined how U.S. government vetting could be enhanced with mobile technologies and platforms for the Security, Suitability, and Credentialing Performance Accountability Council Program Management Office.

    Feb 15, 2023

  • Facial recognition software used at an airport, photo by izusek/Getty Images


    Regulating the Use of Facial Recognition by Law Enforcement

    Facial recognition technology is developing rapidly and is increasingly being used in policing. What do policymakers need to understand in order to minimize the risks it poses, while also maximizing its benefits?

    Feb 15, 2023

  • Photos of mass shooting victims at a memorial outside the Star Ballroom Dance Studio in Monterey Park, California, January 31, 2023, photo by Image of Sport/Sipa USA vie Reuters


    Addressing Gun Violence Requires Better Means of Measuring It

    Proposals to reduce firearm violence in the United States are often controversial, sometimes because there are no data demonstrating their effectiveness. The federal government has many of the requisite tools in place to collect the data, and it does it well on a wide range of other problems. Shying away from measuring this problem may also make it more difficult to fix it.

    Feb 13, 2023

  • Screen showing computer code with malicious code logged error, photo by solarseven/Getty Images


    Software Supply Chain Risk Is Growing, but Mitigation Solutions Exist

    Software supply chain security has emerged as a leading risk because of the massively fragmented and decentralized nature of modern software development. While we still have much to learn as a community about this risk, there are concrete steps we can take to better understand and mitigate it.

    Jan 26, 2023

  • Collage illustrating communication between police and community, photo by freshidea/Adobe Stock


    Hackathon Focuses on Making Policing More Equitable

    Hackathons bring new ideas and perspectives to hard policy problems and introduce college students to the field of policy analysis. The latest hackathon, hosted by Pardee RAND and RAND NextGen, explored ways to make the criminal justice system more equitable and more effective.

    Jan 9, 2023

  • Periodical


    RAND Review: January-February 2023

    This issue explores the inadequacies of the current system of space governance; China's presence in the Arctic; abortion in the U.S. post-Dobbs; and the security and technology challenges related to Taiwan's domination of the microchip industry.

    Jan 6, 2023

  • People using smart watch and smartphone mobile devices to track health and fitness, illustration by Wanlee Prachyapanaprai/Getty Images


    Digital Health Products Miss a Massive and Crucial Piece of a Person's Health

    Our health is heavily influenced by our surroundings—including the health of the people around us. For digital health companies to credibly claim to improve people's health, their next step could be an increased willingness to look beyond an individualized notion of health and to work with public health agencies.

    Dec 27, 2022

  • Two colleagues looking at data on a computer with a transparent holographic display, photo by gorodenkoff/Getty Images


    Machine Learning in Public Policy

    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.

    Nov 15, 2022

  • Report


    Risk-Informed Analysis of Transportation Worker Identification Credential Reader Requirements

    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.

    Nov 10, 2022

  • Menstrual cycle tracker mobile app on smartphone screen in hands of woman, graphic representation of period calendar on pink background, photo by Lari Bat/Getty Images


    Privacy Rights Have Changed. Will Data Handling Follow?

    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.

    Oct 24, 2022

  • A graph of a woman's voice as she speaks, image by andreusK/Adobe Stock

    Research Brief

    Can Machine-Learning Tools Tell If You're Lying?

    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.

    Oct 19, 2022

  • Report


    Looking for Lies: An Exploratory Analysis for Automated Detection of Deception

    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.

    Oct 19, 2022