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.
The city of Pittsburgh and its surrounding region face significant—and potentially growing—stormwater management challenges. Analysis can help better understand the system's vulnerabilities and identify solutions.
Machine learning algorithms and artificial intelligence (AI) influence many aspects of life today. These agents are not exempt from errors or bias because they are designed, built, and taught by humans. While AI has great promise, using it introduces a new level of risk and complexity in policy.
This report describes a general agent-based model (ABM) for studying social learning, and uses that general ABM to explore the relationship between micro-influence and macro-dynamics for broad classes of problems.
This report examines Department of Defense acquisition data and the information systems where it resides and offers insights into improving the management, availability, and usefulness of this information.
Decision support tools are known to influence and facilitate decisionmaking through the thoughtful construction of the decision environment. However, little research has empirically evaluated the effects of using scenarios and forecasts.
RAND evaluated potential effects of uncertain projections of demand and climate change on the ability of the Jinan Municipal Water Resources Bureau to meet its long-term water resources goals for Shandong Province's capital city.
RAND President and CEO Michael Rich offers a year-end assessment of RAND's impact, highlighting ways in which the organization's findings and recommendations are helping to improve the health, security, and prosperity of individuals and communities throughout the world. This Year in Review reflects on RAND's achievements in 2016.
More than 80 percent of the U.S. population lives in urban areas. Thus, cities lie at the epicenter of America's response to climate change. Analysis can inform how cities choose strategies and allocate resources.