Data Science

708 Results

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Research

Nov 15, 2023

Data collection and sharing for pathogen surveillance: Making sense of a fragmented global system

Study providing an overview of the pathogen surveillance space, involved stakeholders, strengths and weaknesses of initiatives, challenges of pathogen surveillance, and how data has been used to inform public health decision making.
Research

Nov 6, 2023

Transparency in Coverage Data and Variation in Prices for Common Health Care Services

This study revealed how novel data can inform policies that improve the efficiency of the US health care system. The study was limited to a single insurer and 7 procedures; however, it opens the door to using TiC data in other, broader settings.
Research

Nov 6, 2023

Differences in Lymphoma Patients Between Chimeric Antigen Receptor T-cell Therapy Trials and the General Population

Effectiveness of CAR-T therapies in the general population of lymphoma patients may differ from effectiveness demonstrated in trials.
Research

Oct 31, 2023

Moving Enough People Enough: Assessing the Effectiveness of Disinformation Through the Adoption of Disinformation Rhetoric

Assesses the effects of COVID-19 disinformation narratives on behavioral outcomes, particularly vaccine uptake and ivermectin consumption.
Research

Oct 27, 2023

A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data

This paper studies the feasibility of using differentially private (DP) methods to make certain queries while preserving privacy.
Research

Oct 16, 2023

The Widening Achievement Gap Between Rich and Poor in a Nordic Country

We study a decade of achievement gaps for fifth-, eighth-, and 10th-grade students in Norway using administrative population data.
Research

Oct 11, 2023

Artificial Intelligence and the Labor Force: A Data-Driven Approach to Identifying Exposed Occupations

The authors evaluate occupational exposure to U.S. technology patents and specific artificial intelligence technologies, such as machine learning, natural language processing, speech recognition, planning control, and evolutionary computation.
Data Viz

Oct 11, 2023

Rage Against the Machine? Knowing How Technology and Artificial Intelligence Have — and Have Not — Affected Jobs in Recent Decades Offers Insight into How They Could Affect the Future of Work

The authors examine how artificial intelligence has shifted on occupational exposure in the United States, whether new technology reduces the need for human labor, and college degrees and routine cognitive tasks as indicators of exposure.
Tool

Oct 3, 2023

Exploring the Feasibility of Building a Housing Stock Tool to Address Homelessness in Los Angeles

The authors describe the process of combining data from various agencies to develop a housing stock tool and discuss the context of their work from interviews conducted with relevant stakeholders.
Research

Sep 19, 2023

Machine Learning for Operational Decisionmaking in Competition and Conflict: A Demonstration Using the Conflict in Eastern Ukraine

This report explores how machine learning can be leveraged to enable military decisionmaking at the operational level of competition and conflict as a collaboration between machine learning tools and human analysts.
Commentary

Sep 13, 2023

When a Quantum Computer Is Able to Break Our Encryption, It Won't Be a Secret

Policymakers and cybersecurity analysts should avoid messaging that emphasizes the risk that CRQCs developed in secret could be imminent or already operational. There is already more than enough reason to upgrade our communications systems to resist attacks from quantum computers as soon as possible.
Research

Jul 25, 2023

Undertaking Rapid Evaluations During the COVID-19 Pandemic: Lessons from Evaluating COVID-19 Remote Home Monitoring Services in England

This research aims to explore how large-scale healthcare evaluations can be conducted rapidly, in tight timescales and with appropriate stakeholder engagement, through an evaluation of COVID-19 home monitoring services.

Data Science

Data Science

Finding and Using Policy-Relevant Data About Veterans

Making Sense of Pathogen Surveillance

Explore RAND’s Work on this Topic

Error

Data collection and sharing for pathogen surveillance: Making sense of a fragmented global system

Transparency in Coverage Data and Variation in Prices for Common Health Care Services

Differences in Lymphoma Patients Between Chimeric Antigen Receptor T-cell Therapy Trials and the General Population

Moving Enough People Enough: Assessing the Effectiveness of Disinformation Through the Adoption of Disinformation Rhetoric

A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data

The Widening Achievement Gap Between Rich and Poor in a Nordic Country

Artificial Intelligence and the Labor Force: A Data-Driven Approach to Identifying Exposed Occupations

Rage Against the Machine? Knowing How Technology and Artificial Intelligence Have — and Have Not — Affected Jobs in Recent Decades Offers Insight into How They Could Affect the Future of Work

Exploring the Feasibility of Building a Housing Stock Tool to Address Homelessness in Los Angeles

Machine Learning for Operational Decisionmaking in Competition and Conflict: A Demonstration Using the Conflict in Eastern Ukraine

When a Quantum Computer Is Able to Break Our Encryption, It Won't Be a Secret

Undertaking Rapid Evaluations During the COVID-19 Pandemic: Lessons from Evaluating COVID-19 Remote Home Monitoring Services in England

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Data Science

Data Science

Finding and Using Policy-Relevant Data About Veterans

Making Sense of Pathogen Surveillance

Explore RAND’s Work on this Topic

Error

Data collection and sharing for pathogen surveillance: Making sense of a fragmented global system

Transparency in Coverage Data and Variation in Prices for Common Health Care Services

Differences in Lymphoma Patients Between Chimeric Antigen Receptor T-cell Therapy Trials and the General Population

Moving Enough People Enough: Assessing the Effectiveness of Disinformation Through the Adoption of Disinformation Rhetoric

A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data

The Widening Achievement Gap Between Rich and Poor in a Nordic Country

Artificial Intelligence and the Labor Force: A Data-Driven Approach to Identifying Exposed Occupations

Rage Against the Machine? Knowing How Technology and Artificial Intelligence Have — and Have Not — Affected Jobs in Recent Decades Offers Insight into How They Could Affect the Future of Work

Exploring the Feasibility of Building a Housing Stock Tool to Address Homelessness in Los Angeles

Machine Learning for Operational Decisionmaking in Competition and Conflict: A Demonstration Using the Conflict in Eastern Ukraine

When a Quantum Computer Is Able to Break Our Encryption, It Won't Be a Secret

Undertaking Rapid Evaluations During the COVID-19 Pandemic: Lessons from Evaluating COVID-19 Remote Home Monitoring Services in England

Oops! An unexpected error has occurred.