Suchergebnisse

Introduction -- Law enforcement intelligence -- Organizational influences on police change and intelligence -- Research design exploring ILP adoption -- Empirical findings of ILP adoption -- Case study: Florida fusion center -- Case study: southern Nevada counter-terrorism center -- Recommendations for ILP adoption -- References -- Index

Scenario planning is one of the most prominent methods applied by organisations to assist long-term decision making. This paper uses a case study method to demonstrate how scenarios can be operationalised to inform future strategies and to challenge rigid silo-based decision making approaches. The WaterProof Northwest scenarios developed by the authors in collaboration with a range of stakeholders, and described within this paper, offer a platform for considering the future of the water environment. The scenarios were developed in the context of meeting the goals of the European Water Framework Directive. This Directive has the core aim of improving the chemical and ecological status of Europe's water bodies. The scenarios highlight that water bodies in the case study area (the region of Northwest England) are impacted directly by a wide array of driving forces which will affect the state of the water environment over the coming decades. This analysis demonstrates that organisations responsible for creating and implementing long-term plans and policies to manage water are often far removed from the forces that will influence the effectiveness of the exercises that they are engaged in. The WaterProof Northwest scenarios highlight that organisations need different decision making approaches in order to adapt to modern environmental challenges. They also raise questions over whether environmental legislation such as the Water Framework Directive should incorporate a futures perspective in recognition of the wide ranging forces influencing their implementation. © 2012 Elsevier Ltd.

Background: Evaluations are routinely conducted by government agencies and research organizations to assess the effectiveness of technology in criminal justice. Interdisciplinary research methods are salient to this effort. Technology evaluations are faced with a number of challenges including (1) the need to facilitate effective communication between social science researchers, technology specialists, and practitioners, (2) the need to better understand procedural and contextual aspects of a given technology, and (3) the need to generate findings that can be readily used for decision making and policy recommendations. Objectives: Process and outcome evaluations of technology can be enhanced by integrating concepts from human factors engineering and information processing. This systemic approach, which focuses on the interaction between humans, technology, and information, enables researchers to better assess how a given technology is used in practice. Subjects: Examples are drawn from complex technologies currently deployed within the criminal justice system where traditional evaluations have primarily focused on outcome metrics. Although this evidence-based approach has significant value, it is vulnerable to fully account for human and structural complexities that compose technology operations. Conclusions: Guiding principles for technology evaluations are described for identifying and defining key study metrics, facilitating communication within an interdisciplinary research team, and for understanding the interaction between users, technology, and information. The approach posited here can also enable researchers to better assess factors that may facilitate or degrade the operational impact of the technology and answer fundamental questions concerning whether the technology works as intended, at what level, and cost.

AbstractGunshot detection technology (GDT) is expected to impact gun violence by accelerating the discovery and response to gunfire. GDT should further collect more accurate spatial data, as gunfire is assigned to coordinates measured by acoustic sensors rather than addresses reported via 9-1-1 calls for service (CFS). The current study explores the level to which GDT achieves these benefits over its first 5 years of operation in Kansas City, Missouri. Data systems are triangulated to determine the time and location gunfire was reported by GDT and CFS. The temporal and spatial distances between GDT and CFS are then calculated. Findings indicate GDT generates time savings and increases spatial precision as compared to CFS. This may facilitate police responses to gunfire events and provide more spatially accurate data to inform policing strategies. Results of generalized linear and multinomial logistic regression models indicate that GDT benefits are influenced by a number of situational factors.