As artificial intelligence (AI) becomes more prevalent in the domains of security and employment, what are the policy implications? What effects might AI have on cybersecurity, criminal and civil justice, and labor market patterns?
Leaders in business, government, academia, and philanthropy gathered at RAND's headquarters in Santa Monica to pay tribute to the seven-decade relationship between RAND and the U.S. Air Force. Panelists discussed the importance of trusted advice to inform national security descisonmaking.
Artificial intelligence seems to be advancing faster than efforts to understand its potential consequences, good and bad. And discussions about AI often veer toward extremes. More balanced, rigorous analysis is needed to help shape policies that mitigate AI's risks and maximize its benefits.
Figuring out what the future may look like—and what concepts and technology we should invest in now to prepare—is hard. How can the wargaming community build a cycle of research to help understand what these paths might be?
This study suggests initial ideas for managing climate uncertainty in conservation planning. Differences with previous RDM applications include focus on finer scale geography and significantly more uncertainty in the system (species response) model.
Before a storm hits, officials must decide whether to evacuate the public or advise them to shelter in place. Other, more targeted choices — such as sheltering in safer locations within a city — could be available if an analytic basis for making such judgments were fully developed.
Federal policymakers have picked up on the concept of red teaming — actively seeking out one's own vulnerabilities. While red teaming may not make sense for climate science, it does offer great benefits when weighing climate policy options.
This guide provides an overview of and guidance on the Resilience Dividend Valuation Model, a framework designed to help policymakers and practitioners estimate the resilience dividend from projects they are considering or have implemented.
This report describes the development of the Resilience Dividend Valuation Model, a complementary framework designed to help communities estimate the resilience dividend from resilience projects or investment.
This toolkit provides a very brief overview of how to identify concepts that should be measured by policymakers, how to evaluate measures, and how to identify new measures that can contribute to better-informed decisions, plans, and assessments.
Water professionals can think about building resilience as a process of embracing and managing future uncertainty. Rather than trying to predict which problem to plan for, researchers help planners consider a wide range of potential scenarios.
Deep decarbonization can reduce the risk of climate change, and it offers opportunities to reimagine energy, transportation, and infrastructure. But it could also fail in many ways. Diverse, independent actors need a shared understanding of its complexity and deep uncertainty to design a solution to this challenge.
Populism is on the march across the globe. Many of the certainties of even the recent past seem much less certain now—including the idea of the United States maintaining a leadership role in the world.
To help the Department of State mature its enterprisewide lessons-learned capabilities, this report explores best practices across fields of organizational theory and within both public and private organizations.
This publication highlights recent RAND social and economic policy research projects that have produced important new policies, framed issues in new ways, balanced multiple priorities and difficult trade-offs, and prompted meaningful change.
It is difficult to determine what actions balance society's goals where there is deep uncertainty about the consequences. The decisionmaking under uncertainty methodology provides tools to acknowledge uncertainty, avoid overconfidence, promote deliberation, and help craft consensus on sensible approaches to climate change.