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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

Strategies for Countering Online Abuse

Jun 18, 2020

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?
Commentary

Keep Voters Healthy. Keep Elections Secure. Can the U.S. Do Both?

Jun 22, 2020

U.S. adversaries have stepped up cyberattacks and disinformation campaigns. The United States should expect these foes to take advantage of the logistical challenges of voting in a COVID-19 world to redouble their efforts against elections.

Topics in Focus:

Explore Cyber and Data Sciences

Report

Report

Joint All-Domain Command and Control for Modern Warfare: An Analytic Framework for Identifying and Developing Artificial Intelligence Applications

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.

Jul 1, 2020
Tool

Toolkit for Weighting and Analysis of Nonequivalent Groups: A Tutorial on the TWANG Shiny App for Two Treatments

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.

Jun 30, 2020
Blog

The Postal Service, Election Security, Reducing Child Deaths: RAND Weekly Recap

This weekly recap focuses on the role of the U.S. Postal Service, preparing for the presidential election, reducing child deaths in Nigeria, and more.

Jun 26, 2020
Commentary

A Machine Learning Approach Could Help Counter Disinformation

Disinformation has become a central feature of the COVID-19 crisis. As this type of malign information and high-tech “deepfake” imagery can spread so fast online, it poses a risk to democratic societies worldwide by increasing public mistrust in governments and public authorities. New research highlights new ways to detect and dispel disinformation online.

Jun 25, 2020
Report

Report

Decoding Data Science: The U.S. Coast Guard's Evolving Needs and Their Implications

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.

Jun 24, 2020
Report

Machine Learning Can Help Detect Misinformation Online

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?

Jun 23, 2020
Commentary

Considering Military Culture and Values When Adopting AI

As the U.S. military contemplates increasing the number and diversity of AI and other autonomous systems, it should consider timely means of mitigating any potential negative side effects.

Jun 22, 2020
Journal Article

Journal Article

Researching the Appropriateness of Care in the Complementary and Integrative Health Professions: Part 5: Selection, Protection, and Abstraction

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.

Jun 11, 2020
Journal Article

Journal Article

Researching the Appropriateness of Care in the Complementary and Integrative Health Professions: Part 3: Designing Instruments With Patient Input

This article documents the challenges and the efforts involved in designing data collection tools to facilitate the inclusion of patient data into appropriateness decisions.

Jun 10, 2020
Journal Article

Journal Article

Researching the Appropriateness of Care in the Complementary and Integrative Health Professions: Part 4: Putting Practice Back Into Evidence-based Practice by Recruiting Clinics and Patients

This study found that clinics can be successfully recruited for practice-based studies, and patients can be recruited using iPads. Obtaining patient records presents considerable challenges, and clinics varied in whether they had electronic files, nonelectronic records, or a mixture.

Jun 10, 2020
Blog

A Message from Our President and CEO, America's Wealth Gap, Disinformation: RAND Weekly Recap

This weekly recap focuses on doing more to address systemic inequalities and structural racism, paying the bills during COVID-19, America's growing wealth gap, and more.

Jun 5, 2020
Report

Report

Benchmarking Data Use and Analytics in Large, Complex Private-Sector Organizations: Implications for Department of Defense Acquisition

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.

Jun 4, 2020
Journal Article

Journal Article

Assessing and Expanding the Evidence Base for Project ECHO and ECHO-Like Models: Findings of a Technical Expert Panel

Building a strong evidence base will help leverage the innovative aspects of EELM by better understanding how, why, and in what contexts EELM improve care access, quality, and delivery, while also improving provider satisfaction and capacity.

Jun 3, 2020
Commentary

How to Harness Technologies in the Fight Against COVID-19

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.

Jun 2, 2020
Dissertation

Dissertation

The Unforeseen Consequences of Artificial Intelligence (AI) on Society: A Systematic Review of Regulatory Gaps Generated by AI in the U.S.

Explores how artificial intelligence (AI) influences U.S. public policy, what gaps exist due to AI methods and applications and examines what trends and insights are emerging that can help stakeholders plan for the future.

Jun 2, 2020
Blog

COVID-19's Effects on U.S. Schools, Vaccine Uptake, Small Businesses: RAND Weekly Recap

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.

May 29, 2020
Report

Report

Air Dominance Through Machine Learning: A Preliminary Exploration of Artificial Intelligence–Assisted Mission Planning

U.S. air superiority is being challenged by global competitors. In this report, the authors prototype a new artificial intelligence system to help develop and evaluate concepts of operations for the air domain.

May 29, 2020
Journal Article

Journal Article

Treating Patients With Opioid Use Disorder in Their Homes: An Emerging Treatment Model

Treating OUD in the home via telehealth is expanding under COVID, but it is not clear what will happen post pandemic.

May 29, 2020

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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

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