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RAND was at the forefront of early computing and data science. In the 1950s, we built computers to improve researchers' analytic and modeling capabilities. We also developed data communications technologies that were forerunners of the internet. Today, RAND experts recommend policies and best practices to support safe and secure technological innovation and adoption.

Report

What Could Help Law Enforcement Deal with Crime on the Dark Web?

Oct 29, 2019

Crime in traditional online forums often leaves a trail of data that can be followed. But on the dark web, the process of collecting those data and turning them into evidence can be difficult. A panel of law enforcement practitioners and researchers identified ways to address this challenge.
Essay

Who's Responsible When Your Car Gets Hacked?

Oct 23, 2019

Cars are becoming "fast, heavy artificial intelligences on wheels," a RAND report cautions, and that means they're becoming vulnerable. Potentially billions of dollars ride on the question of who has the legal responsibility to keep hackers from grabbing the wheel or cutting the brakes.

Topics in Focus:

Explore Cyber and Data Sciences

Commentary

Did No One Audit the Apple Card Algorithm?

Complex, opaque technologies (like AI, machine learning and other algorithm systems) provide significant benefits to society. They help speed up complex decisions, enable wider access to services, and in many cases make better decisions than humans. But those benefits do not obviate the need for accountability and transparency.

Nov 21, 2019
Journal Article

Journal Article

Return of Value in the New Era of Biomedical Research: One Size Will Not Fit All

Determining appropriate return of value in biomedical research will entail finding the point of equilibrium between feasibility and usefulness.

Nov 21, 2019
Journal Article

Journal Article

Insurers' Perspectives on MA Value-Based Insurance Design Model

In this study, we explored insurers' perspectives on Medicare Advantage value-based insurance design, identified perceived barriers to joining the model test, and described ways to overcome them.

Nov 19, 2019
Blog

Disinformation, Drug Policy, Artificial Intelligence: RAND Weekly Recap

This weekly recap focuses on tools to fight disinformation online, the negative consequences of punishing pregnant women for drug use, how to ensure public trust in artificial intelligence, and more.

Nov 15, 2019
Content

What's Being Done to Fight Disinformation Online

With the rise of the internet and social media, false or intentionally misleading information can spread farther and faster than ever before. What tools exist to fight disinformation online?

Nov 12, 2019
Tool

Fighting Disinformation Online: A Database of Web Tools

RAND researchers created a database of web tools that aim to fight the spread of disinformation. These include fact-checking tools, bot detectors, media literacy applications, and more.

Nov 12, 2019
Report

Report

Reuse of health data by the European pharmaceutical industry: Current practice and implications for the future

Health data is re-used for a variety of reasons by pharmaceutical companies across the R&D pathway. RAND Europe suggests seven ways which might help create a sustainable ecosystem in which health data is reused effectively.

Nov 12, 2019
Blog

Veterans, Autonomous Vehicles, Digital Protests: RAND Weekly Recap

This weekly recap focuses on preventing veteran suicide, who's responsible when a car is hacked, how digital protests can affect Fortune 500 companies, and more.

Nov 8, 2019
Tool

Sharing and Integrating HIV Client Data Across Provider Organizations to Improve Service Coordination: A Toolkit

The authors share lessons learned from a project involving data integration across two federal programs. The goal of this toolkit is to demystify the integration process and help others share data and coordinate services across providers.

Nov 7, 2019
Commentary

First, Manage Security Threats to Machine Learning

Deception is as old as warfare itself. Until now, the targets of deception operations have been humans. But the introduction of machine learning and artificial intelligence opens up a whole new world of opportunities to deceive by targeting machines.

Nov 4, 2019
Blog

White Supremacist Terrorism, Wildfires, the Dark Web: RAND Weekly Recap

This weekly recap focuses on violent white supremacy, power outages to prevent wildfires, how to catch criminals on the dark web, and more.

Nov 1, 2019
Commentary

AI and Irregular Warfare: An Evolution, Not a Revolution

How will artificial intelligence change the way wars are fought? The answer, of course, depends. And it mainly depends on what type of wars are being fought. And how will AI affect the type of wars that the United States is most likely to fight?

Oct 31, 2019
Commentary

Military Deception: AI's Killer App?

Contrary to the promise that AI would deliver an omniscient view of everything happening in the battlespace—the goal of U.S. military planners for decades—it now appears that technologies of misdirection are winning. Military deception, in short, could prove to be AI’s killer app.

Oct 23, 2019
Commentary

Our Future Lies in Making AI Robust and Verifiable

We are hurtling towards a future in which AI is omnipresent. This AI-enabled future is blinding in its possibilities for prosperity, security, and well-being. Yet, it is also crippling in its fragility. What might it take for it all to come to a screeching halt?

Oct 22, 2019
Report

Big Data Could Improve Military Recruiting

DoD and the U.S. military services have had some success with data-enabled outreach and recruiting. But they could benefit from expanding their adoption of private-sector approaches. For example, recruiters could better target prospects through the use of personally identifiable information and third-party data.

Oct 22, 2019
Commentary

Embrace Open-Source Military Research to Win the AI Competition

Unless the Pentagon embraces a more open approach to artificial intelligence, it will be left behind. Private sector innovation in this space is too fast. But what are the risks of disseminating potentially sensitive AI technology? And what should not be disclosed?

Oct 16, 2019
Tool

Tool

Putting Data to Work for Young People: A Ten-Step Guide for Expanded Learning Intermediaries

This ten-step plan should help expanded learning nonprofits address challenges related to data collection and management and therefore make after-school and summer programs better and more accessible for students.

Oct 15, 2019
Report

National Guard Youth ChalleNGe: Program Progress in 2017–2018

This report documents the progress of participants in the National Guard Youth ChalleNGe program in 2017-2018. ChalleNGe is a residential, quasi-military program for youth ages 16-18 who are experiencing difficulty in traditional high school.

Oct 15, 2019

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RAND Topic:
Cyber and Data Sciences

Topic Synonyms:
Computer and Information Science and Technology;
Computer Science;
Computer Technology;
Computing;
Informatics;
Information Science;
Information Technology;
IS;
IST;
IT

Research conducted by