This weekly recap focuses on the future of U.S.-China competition, privacy concerns surrounding mobile tools used to track COVID-19, how telemedicine can help patients access specialized care, and more.
In this remote video conversation, RAND's Osonde A. Osoba discusses the use of AI systems in governance processes—from facial recognition technologies in state surveillance applications to risk-predictive tools applied in the criminal justice system. Brandon Baker hosts.
As part of the response to the COVID-19 pandemic, governments worldwide have deployed mobile phone surveillance programs to augment public health interventions. The authors examine how these programs can be implemented in ways that protect privacy.
Dozens of countries are using mobile phone tools and data sources for COVID-19 tracking. These tools are beneficial, but they also have the potential for harm. As public health agencies consider using mobile surveillance tools, they will need to address privacy concerns.
An initiative to create the first large-scale digital health dataset of Americans that is fully representative across all socio-demographic groups—including ethnic and economic groups usually underrepresented—has been launched by the University of Southern California Schaeffer Center for Health Policy & Economics, the RAND Corporation and Evidation Health.
Feature stories explore what research says about learning loss after extended school breaks; how stress and trauma affect individual and community health; and how a critical care surge response tool is helping hospitals during the pandemic.
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.
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.