Data Analysis

169 Results

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Commentary

Nov 15, 2013

Predictive Policing: An Effective Tool, but Not a Crystal Ball

Predictive policing is not an end-all solution, but rather a tool that must be used in concert with other policing resources as part of a broader anti-crime effort. Used properly, predictive policing can predict the risk of future events, but not the events themselves.
Research

Oct 17, 2013

Patterns of Creation and Discovery: An Analysis of Defense Laboratory Patenting and Innovation

Develops a new approach to measuring research and innovation performance using patents by examining the trends in patent filings over time within organizations and within technology classes.
Research Summary

Oct 14, 2013

Predictive Policing: Forecasting Crime for Law Enforcement

Predictive policing is the use of analytical techniques to prevent crime or solve past crimes. A RAND study assessed some of the most promising technical tools and tactical approaches, offering recommendations for police and developers.
Research

Oct 1, 2013

Between Large-N and Small-N Analyses: Historical Comparison of Thirty Insurgency Case Studies

The authors study the 30 insurgencies occurring between 1978 and 2008 using four methods crossing the qualitative/quantitative divide.
Research

Sep 25, 2013

Predictive Policing: The Role of Crime Forecasting in Law Enforcement Operations

Predictive policing is the use of analytical techniques to help prevent crime, solve past crimes, or identify potential offenders and victims. This guide provides assessments of some of the most promising technical tools and tactical approaches.
Research

Jan 1, 2013

International Comparative Performance of Mental Health Research, 1980-2011

This paper provides a bibliometric assessment of mental health research (MHR) outputs from 1980 to 2011.
Research

Jan 1, 2013

Using Logistic Approximations of Marginal Trace Lines to Develop Short Assessments

This article describes the computations needed to obtain logistic approximations of marginal trace lines for graded response items derived from multidimensional bifactor item response theory (IRT) models.
Research

Sep 1, 2012

Machine Learning Methods in Systematic Reviews: Identifying Quality Improvement Intervention Evaluations

Electronic searches typically yield far more citations than are relevant, and reviewers spend a substantial amount of time screening titles and abstracts to identify potential studies eligible for inclusion in a review.
Research

Jan 1, 2010

Thinking Inside the Box: A Participatory, Computer-Assisted Approach to Scenario Discovery

This paper systematically describes the scenario discovery concept and its implementation, presents statistical tests to evaluate the resulting scenarios, and demonstrates the approach on an example policy problem involving the efficacy of a proposed U.S. renewable energy standard.
Research

Mar 31, 2009

Do We Need Better Predictions to Adapt to a Changing Climate?

Many scientists have called for a substantial new investment in climate modeling to increase the accuracy, precision, and reliability of climate predictions.
Expert Insights

Nov 7, 2006

Making Sense of Data-Driven Decision Making in Education: Evidence from Recent RAND Research

Using RAND research this paper examines how schools are utilizing test results and other data to make decisions for improving student success, describes the conditions and policies that support or hinder these efforts, and suggests future research.
Expert Insights

Dec 20, 2004

Collecting the Dots: Problem Formulation and Solution Elements

Investigates barriers to circulating information important for anticipating disasters and describes approaches for bringing information together in a meaningful way.

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Error

Predictive Policing: An Effective Tool, but Not a Crystal Ball

Patterns of Creation and Discovery: An Analysis of Defense Laboratory Patenting and Innovation

Predictive Policing: Forecasting Crime for Law Enforcement

Between Large-N and Small-N Analyses: Historical Comparison of Thirty Insurgency Case Studies

Predictive Policing: The Role of Crime Forecasting in Law Enforcement Operations

International Comparative Performance of Mental Health Research, 1980-2011

Using Logistic Approximations of Marginal Trace Lines to Develop Short Assessments

Machine Learning Methods in Systematic Reviews: Identifying Quality Improvement Intervention Evaluations

Thinking Inside the Box: A Participatory, Computer-Assisted Approach to Scenario Discovery

Do We Need Better Predictions to Adapt to a Changing Climate?

Making Sense of Data-Driven Decision Making in Education: Evidence from Recent RAND Research

Collecting the Dots: Problem Formulation and Solution Elements

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Data Analysis

Data Analysis

Related Topics

How Will AI Reshape Work?

TikTok Is a Threat to National Security, but Not for the Reason You Think

Explore RAND’s Work on this Topic

Error

Predictive Policing: An Effective Tool, but Not a Crystal Ball

Patterns of Creation and Discovery: An Analysis of Defense Laboratory Patenting and Innovation

Predictive Policing: Forecasting Crime for Law Enforcement

Between Large-N and Small-N Analyses: Historical Comparison of Thirty Insurgency Case Studies

Predictive Policing: The Role of Crime Forecasting in Law Enforcement Operations

International Comparative Performance of Mental Health Research, 1980-2011

Using Logistic Approximations of Marginal Trace Lines to Develop Short Assessments

Machine Learning Methods in Systematic Reviews: Identifying Quality Improvement Intervention Evaluations

Thinking Inside the Box: A Participatory, Computer-Assisted Approach to Scenario Discovery

Do We Need Better Predictions to Adapt to a Changing Climate?

Making Sense of Data-Driven Decision Making in Education: Evidence from Recent RAND Research

Collecting the Dots: Problem Formulation and Solution Elements

Oops! An unexpected error has occurred.