RAND researchers have pioneered several different methodologies, such as the Delphi method and robust decisionmaking, and continue to apply their methodological expertise in multidisciplinary projects that may require a range of capabilities, including modeling and simulation, survey research, economic or statistical analysis, or planning and forecasting.
To assess congestion charging policies where the charge varies according to the time of day, the Ørestad Transport Model (OTM) for the Greater Copenhagen area has been extended to predict the choice of time of travel for car drivers.
Recent RAND research identified practices and contextual factors associated with greater or lesser degrees of success in security cooperation. A related diagnostic tool maximizes the utility of these analyses and can help defense planners identify potential mismatches between security cooperation funding, priorities, and propensity for success with a given country.
Robust Decision Making showed El Dorado Irrigation District managers the results of key trade-offs among future strategies and how expectations for future vulnerable conditions can guide decisions to augment their long-term plan.
The Colorado River Basin Study evaluated the river system's resiliency and compared resource management options. The Robust Decision Making methodology helped to identify vulnerabilities and compare portfolios of options.
This report describes a proof-of-concept analysis using Robust Decision Making to evaluate water resource management response packages for California's Central Valley under future uncertainty for the California Water Plan Update 2013.
Examines the impacts arising from neuroscience and mental health research over 20-25 years, focusing on schizophrenia. Identifies attributes of the research, researchers or setting associated with translation into patient benefit. Methods.
To make an impact on patient care within a 20-year timeframe, biomedical research funders and policymakers should focus resources on clinical rather than basic research, and support individuals who work across disciplinary boundaries and are motivated by patient need.
Examines the impacts arising from neuroscience and mental health research over 20-25 years, focusing on schizophrenia. Identifies attributes of the research, researchers or setting associated with translation into patient benefit. Perspectives.
Examines the impacts arising from neuroscience and mental health research over 20-25 years, focusing on schizophrenia. Identifies attributes of the research, researchers or setting associated with translation into patient benefit. Case studies.
What might one expect for the future of mobility in the U.S. in 2030? A six-step scenario development process resulted in two thought-provoking scenarios that address this question, and three key drivers differentiate the scenarios: the price of oil, the development of environmental regulation, and the amount of highway revenues and expenditures.
Managing homeland security risks involves balancing concerns about numerous types of accidents, disasters, and terrorist attacks. This research presents individuals' relative concerns about homeland security hazards and the attributes which influence those concerns.
Previous RAND research on historical insurgencies found that a conflict's overall balance of good and bad factors and practices perfectly discriminated its outcome. A RAND study applied this scorecard approach to Afghanistan in early 2013.
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.
The organic defense acquisition workforce oversees defense acquisition programs from start to finish. RAND has been providing ongoing analysis of the workforce. This research offers revisions to methods summarized in an earlier report.
Limiting climate change will require transformation of energy and other systems. A new model that uses Robust Decision Making tools enables decisionmakers to compare the long-term sustainability of alternative carbon emission reduction policies.
This dissertation consists of three essays that summarize the author's contributions to the study of flood risk in coastal Louisiana during and following its 2012 Comprehensive Master Plan for a Sustainable Coast.
A new modeling tool will allow the U.S. military to understand the workforce effects of permanent compensation and other workforce policies during a transition period, as well the effects of temporary policies such as pay freezes and furloughs.
The Caruth Police Institute (CPI) has been an important vehicle for enhancing leadership skills of mid- and high-level Dallas Police Department officers and creating a more professional police force, according to a RAND evaluation.
Professionals today are expected to respond to more variables at a faster rate than was the case even a decade ago. What do ambassadors, chief executive officers, military personnel, and physicians believe creates surprise, how do they respond to it, and how can the effects of surprise be mitigated?
To help the National Reconnaissance Office (NRO) become more flexible and agile in an increasingly uncertain world, RAND researched whether the NRO might benefit from building modular satellites and examined how professionals respond to surprise.