The Global Nuclear Detection Architecture (GNDA) is described as a worldwide network of sensors, telecommunications, and personnel, with the supporting information exchanges, programs, and protocols that serve to detect, analyze, and report on nuclear and radiological materials that are out of regulatory control. The Domestic Nuclear Detection Office (DNDO), an office within the Department of Homeland Security (DHS), coordinates the development of the GNDA with its federal partners. Performance Metrics for the Global Nuclear Detection Architecture considers how to develop performance measures and quantitative metrics that can be used to evaluate the overall effectiveness and report on progress toward meeting the goals of the GNDA. According to this report, two critical components are needed to evaluate the effectiveness of the GNDA: a new strategic plan with outcome-based metrics and an analysis framework to enable assessment of outcome-based metrics. The GNDA is a complex system of systems meant to deter and detect attempts to unlawfully transport radiological or nuclear material. The recommendations of Performance Metrics for the Performance Metrics for the Global Nuclear Detection Architecture may be used to improve the GNDA strategic plan and the reporting of progress toward meeting its goals during subsequent review cycles.

Chan Su Jung provides a thorough review of goal ambiguity in the public sector, exploring the general assertions, arguments and empirical evidence regarding performance goal ambiguity, particularly highlighting its causes, consequences, and mediation effects. The author proposes a new conceptual framework for successful analysis of goal ambiguity that can effectively relate to diverse organizational and program characteristics.

A Brookings Institution Press and Ash Center for Democratic Governance and Innovation publication It started two decades ago with CompStat in the New York City Police Department, and quickly jumped to police agencies across the U.S. and other nations. It was adapted by Baltimore, which created CitiStat—the first application of this leadership strategy to an entire jurisdiction. Today, governments at all levels employ PerformanceStat: a focused effort by public executives to exploit the power of purpose and motivation, responsibility and discretion, data and meetings, analysis and learning, feedback and follow-up—all to improve government's performance. Here, Harvard leadership and management guru Robert Behn analyzes the leadership behaviors at the core of PerformanceStat to identify how they work to produce results. He examines how the leaders of a variety of public organizations employ the strategy—the way the Los Angeles County Department of Public Social Services uses its DPSSTATS to promote economic independence, how the City of New Orleans uses its BlightStat to eradicate blight in city neighborhoods, and what the Federal Emergency Management Agency does with its FEMAStat to ensure that the lessons from each crisis response, recovery, and mitigation are applied in the future. How best to harness the strategy's full capacity? The PerformanceStat Potential explains all.