Russia's military intervention in the Syrian civil war began in 2015. This decision was the result of an extraordinary set of political and military circumstances. What might cause Moscow to take similar actions in other conflicts beyond its immediate neighborhood?
This report describes RAND's Multi-Purpose Assessment of Force Flow tool for conducting time-phased analysis of Army force sufficiency under a variety of assumptions on force generation policies, readiness policies, and force employment policies.
Implementing effective solutions for global socioeconomic development and poverty alleviation is a daunting challenge. However, RAND has seen over its decades of work in this area that data-based decisions can improve the welfare of the world's most vulnerable populations.
This is a peer review of Robust Decision Making, an exploratory modeling approach for informing decisions under deep uncertainty, and the Exploratory Analysis and Modeling Tool, focusing applications for the Sacramento Area Council of Governments.
Tecnológico de Monterrey and RAND Corporation researchers help develop an adaptive water management strategy for Mexico's third-largest metropolitan area, Monterrey, using RAND's Robust Decision Making (RDM) methods.
This interactive tool allows users to explore data and analysis developed by the RAND Corporation and Tecnológico de Monterrey in support of Fondo de Agua Metropolitano de Monterrey's Monterrey Water Plan for 2050.
Expert peer review is considered the gold standard for assessing the validity, significance and originality of research. When it comes to grant applications, however, peer review is not without its shortcomings. Addressing some of the challenges that peer review poses could ensure that the best research receives the financial support it deserves.
Social institutions increasingly use algorithms for decisionmaking purposes. How do different perspectives on equity or fairness inform the use of algorithms in the context of auto insurance pricing, job recruitment, and criminal justice?
This report summarizes a 2018 workshop that gathered a small group of innovative thinkers to engage in an approach called large-scale speculative design to sketch desirable future worlds that could be enabled by artificial intelligence.
This study used the RUAM to determine the appropriateness of spinal mobilization and manipulation for different types of patients with CLBP, and the key patient characteristics associated with appropriateness.
This study evaluates the performance of Lima, Peru's current drought management plan against future droughts and proposes augmentations, and it recommends ways to ensure that the drought management plan performs will in the uncertain future.
This report provides an inventory of U.S. Department of Homeland Security (DHS) analytic capabilities in the including current capabilities in use for decisionmaking, as DHS establishes an Analytic Agenda.
Decisionmakers often seek predictions about the future to inform policy choices. But a reliance upon analytic methods that require them can prove counter-productive and sometimes dangerous in a fast-changing, complex world.