This document provides an overview of data collection methods and evaluation designs suitable for evaluating interventions and programmes designed to prevent and counter violent extremism and radicalisation.
RAND-Lex is a computer program that can scan millions of lines of text and identify what people are talking about, how they fit into communities, and how they see the world. The program has shed light on how terrorists communicate, how the American public thinks about health, and more.
Branching from Open Science is 'citizen science,' -- the increased involvement of amateur scientists in the various stages of the scientific research process. This publication explores the definitions, opportunities and challenges for citizen science.
Governments are amassing a wealth of data on citizens, a trend that will continue as technology advances. But with no reliable way to ensure that the data is accurate, risks abound. In the criminal justice system, for example, poor quality data could affect individual freedoms and employability.
Data and computer models are becoming more and more important for making policy decisions on everything from prison sentences to tax bills. But citizens should be able to “check the math” on decisions that affect them.
The traditional baseball scout's keen eye is no longer deemed sufficient to rate talent, said Jeff Luhnow, general manager of the Houston Astros, at RAND's Politics Aside event. Analysts check curveball spin rates, computer-modeled swing mechanics, and even sleep habits.
Millions of people leave behind online footprints each day, giving law enforcement and intelligence experts the chance to construct a profile of who is more likely to commit violence in the name of a murderous ideology.
License plate reader technology can be a force multiplier for law enforcement. Its ability to identify license plates of interest to police in real-time makes it an effective tool but there is also potential for abuse. Law enforcement authorities should address credible privacy concerns.
Systems that automatically read automobile license plates have the potential to save police investigative time and increase safety, but law enforcement officials must address issues related to staffing, compatibility, and privacy before the technology can reach its full potential.
Despite the battle-tested value of intelligence, surveillance, and reconnaissance (ISR) systems, the amount of data they generate has become overwhelming to Navy analysts. If the Navy does not change the way it processes information, it will reach an ISR “tipping point”—as soon as 2016.
The failure to find the missing aircraft demonstrates anew the serious gaps in data coordination and challenges public assumptions about the thoroughness and simplicity of searching the world's data for answers.
The Navy has a growing demand for intelligence to help Navy vessels avoid collisions, pinpoint targets, and perform other vital tasks. But the amount of data it may collect in the future is more than it can process today. “Cloud” strategies offer promising options.
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.
Predictive policing is the use of analytical techniques to prevent crime or solve past crimes. An assessment of some of the most promising technical tools and tactical approaches offers recommendations for police and developers.
Predictive policing methods fall into four general categories: methods for predicting crimes, predicting offenders, predicting perpetrators' identities, and predicting victims of crime. These methods are not equivalent to a crystal ball, but they can enhance proactive policing and improve intervention strategies.