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Data Science

Journal Article

Building Bridges Across Clinical Registries

For precision medicine and predictive analytics to become mainstream, we need an infrastructure that connects the massive number of digital breadcrumbs (Big Data) generated by individual patients over their lifetimes.

Jan 14, 2021
Commentary

Now Could Be the Time to Form Policy for Emerging Brain- and Body-Enhancement Technologies

Policymakers might consider developing appropriate policy frameworks for emerging brain- and body-enhancement technologies to ensure that innovations harnessed for societal, economic, or military benefits do not create new vulnerabilities and that governments adequately defend and manage against potential attacks. The technology is quickly moving forward. Policy may need to play catch-up.

Jan 12, 2021
Essay

Are We Ready for the Internet of Bodies?

Any device can be hacked, including one inside the human body. We need to think through the privacy and security implications of devices that live with us. But we should also consider the life-changing, life-saving potential of technologies that know us inside and out.

Jan 8, 2021
Journal Article

From "Informed" to "Engaged" Consent: Risks and Obligations in Consent for Participation in a Health Data Repository

This paper focuses on research stakeholders' views of a model of consent appropriate to biobanking and research infrastructure initiatives like the AoURP and Project Baseline that entail long-term storage and undetermined future research use of multiple types of health data.

Jan 7, 2021
Periodical

RAND Review: January-February 2021

The cover story on the ’Internet of Bodies’ highlights the perils of devices that track personal health data and provide medical treatment. Other columns explore vaccine hesitancy, the high price of insulin in the U.S., and social justice in America.

Jan 6, 2021
Tool

Quantifying the Bias Due to Observed Individual Confounders in Causal Treatment Effect Estimates: A Tutorial for the Selection Bias Decomposition (SBdecomp) Package

In this tool, the authors explain the methodology behind the primary function of the selection bias decomposition (SBdecomp) package; describe its features, syntax and how to implement the function; and illustrate its use with an example.

Dec 29, 2020
Journal Article

Approaches to Analyzing the Vulnerability of Community Water Systems to Groundwater Contamination in Los Angeles County

This paper details the objectives, process and lessons learned from a workshop-based research project that examined the spatial extent of groundwater contamination in Los Angeles County's groundwater basins.

Dec 22, 2020
Report

Developing Operationally Relevant Metrics for Measuring and Tracking Readiness in the U.S. Air Force

The authors developed a new approach to leverage and aggregate authoritative data sources that feed the current readiness reporting system to better measure the ability of Air Combat Command forces to meet scenario demands.

Dec 21, 2020
Commentary

Your Personal Information Could End Up in the Hands of Foreign Investors

If you've ever rented a property, you may have wondered what happens to the sensitive information on your application. Recent concerns over the foreign harvesting of personal information for questionable purposes should worry everyone.

Dec 16, 2020
Journal Article

The Measurement of Disaster Recovery Efficiency Using Data Envelopment Analysis: An Application to Electric Power Restoration

This paper considers disaster severity to assess efficiency for electric utilities. We provide an application to recent post-hurricane restoration activities across different electric power companies in the states and territories of the United States.

Dec 15, 2020
Report

United States–Japan Research Exchange on Artificial Intelligence: Proceedings from a Pair of Conferences on the Impact of Artificial Intelligence on Work, Health, and Data Privacy and on Disaster Prediction, Resilience, and Recovery

This report captures insights from two conferences that brought together U.S. and Japanese experts on work, health, and data security and on disaster response and disaster modeling to exchange views on artificial intelligence and machine learning.

Dec 7, 2020
Tool

Toolkit for Weighting and Analysis of Nonequivalent Groups: A Tutorial on the TWANG Shiny Application for Three or More Treatment Groups

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.

Nov 24, 2020
Report

National Guard Youth ChalleNGe: Program Progress in 2018–2019

In the fourth annual report on the National Guard Youth ChalleNGe, a residential, quasi-military program for youth struggling in traditional high school, researchers provide information on participants who entered the program in 2018.

Nov 6, 2020
Multimedia

What Is the Internet of Bodies?

RAND mathematician Mary Lee examines technologies that make up the Internet of Bodies (IoB); explores their benefits, risks, and ethical implications; surveys the regulatory landscape; and makes recommendations to balance IoB risks and rewards.

Oct 29, 2020
Report

The Internet of Bodies: Opportunities, Risks, and Governance

Within the broader Internet of Things (IoT) lies a subset of devices that monitor the human body and transmit the collected data. What are the benefits, security and privacy risks, and ethical implications of the growing Internet of Bodies (IoB)?

Oct 29, 2020
Multimedia

Using AI to Tackle Disinformation Online

RAND Europe analyst Linda Slapakova talks with RAND senior behavioral scientist William Marcellino about their study on human-machine detection of online-based malign information.

Oct 23, 2020
Report

Pitfalls and Potholes: Data Issues to Consider When Analyzing State Opioid Policies, September 14, 2020

This webinar focused on data dimensions that researchers should keep in mind when conducting analyses of state opioid policies and when seeking to draw conclusions from other studies.

Oct 21, 2020
Commentary

The United States Can Achieve AI Dominance with Its Allies

Close collaborators in any AI alliance must be able to usefully contribute to the work and be trustworthy enough to share in cutting-edge technical advancements. While achieving this close collaboration with allies may be difficult, it will be essential if the United States hopes to achieve the data dominance needed to succeed in future combat.

Oct 9, 2020
Blog

How Russia Targets U.S. Elections, Black Workers and COVID-19, TikTok: RAND Weekly Recap

This weekly recap focuses on how Russia targets U.S. elections, Americans' increased alcohol consumption during the pandemic, Black workers and COVID-19, and more.

Oct 2, 2020
Commentary

Could Time Be Up for TikTok?

Is it possible for ByteDance to maintain ownership in TikTok Global while ameliorating U.S. national security concerns? At the heart of any deal should be a highly technical agreement on data security issues—one that not only the two companies but the two governments might have to agree to.

Sep 24, 2020

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RAND Topic:
Data Science

Topic Synonyms:
Data Bases