A Decision Theory Perspective on the Disposal of High-Level Radioactive Waste

In this paper the problem of high-level nuclear waste disposal is viewed as a five-stage, cascaded decision problem. The first four of these decisions having essentially been made, the work of recent years has been focused on the fifth stage, which concerns specifics of the repository design. The probabilistic performance assessment (PPA) work is viewed as the outcome prediction for this stage, and the site characterization work as the information gathering option. This brief examination of the proposed Yucca Mountain repository through a decision analysis framework resulted in three conclusions: (1) A decision theory approach to the process of selecting and characterizing Yucca Mountain would enhance public understanding of the issues and solutions to high-level waste management; (2) engineered systems are an attractive alternative to offset uncertainties in the containment capability of the natural setting and should receive greater emphasis in the design of the repository; and (3) a strategy of waste management should be adopted, as opposed to waste disposal, as it allows for incremental confirmation and confidence building of a permanent solution to the high-level waste problem.     

Risk filtering, ranking, and management framework using hierarchical holographic modeling.

This paper contributes a methodological framework to identify, prioritize, assess, and manage risk scenarios of a large-scale system. Qualitative screening of scenarios and classes of scenarios is appropriate initially, while quantitative assessments may be applied once the set of all scenarios (hundreds) has been prioritized in several phases. The eight-phase methodology is described in detail and is applied to operations other than war. The eight phases are as follows: Phase I, Scenario Identification-A hierarchical holographic model (HHM) is developed to describe the system's "as planned" or "success" scenario. Phase II, Scenario Filtering-The risk scenarios identified in Phase I are filtered according to the responsibilities and interests of the current system user. Phase III, Bi-Criteria Filtering and Ranking. Phase IV, Multi-Criteria Evaluation. Phase V, Quantitative Ranking-We continue to filter and rank scenarios based on quantitative and qualitative matrix scales of likelihood and consequence; and ordinal response to system resiliency, robustness, redundancy. Phase VI, Risk Management is performed, involving identification of management options for dealing with the filtered scenarios, and estimating the cost, performance benefits, and risk reduction of each. Phase VII, Safeguarding Against Missing Critical Items--We examine the performance of the options selected in Phase VI against the scenarios previously filtered out during Phases II to V. Phase VIII, Operational Feedback-We use the experience and information gained during application to refine the scenario filtering and decision processes in earlier phases. These eight phases reflect a philosophical approach rather than a mechanical methodology. In this philosophy, the filtering and ranking of discrete scenarios is viewed as a precursor to, rather than a substitute for, consideration of the totality of all risk scenarios.     

Elderly prisoners: a growing and forgotten group within correctional systems vulnerable to elder abuse

There are over 2.1 million people incarcerated in the nation's jails and prisons. Additionally, close to 600,000 prisoners are released annually into communities across the country. Many prisoners and those released from prisons are elderly. The purpose of this article is to examine the systemic abuse and neglect experienced by elderly prisoners while they are incarcerated and when they are released from prison. Most correctional systems have inadequate resources, processes, and personnel to manage the elderly population inside and outside of prisons. In addition to providing a definition of "elderly prisoner," two specific problems-prison health care and prisoner re-entry-are examined in the article. The article concludes with recommendations for both policy and research on how best we can further understand and address the multiple needs and concerns faced by elderly prisoners.     

Representing the negotiation process with a rule-based formalism

The objective of this paper is to introduce a flexible approach to the structuring of negotiations. The process of negotiations with its intricacies is discussed, and drawbacks of quantitative methods are analyzed. The decomposition of the negotiation process into a certain hierarchical structure is presented. This structure is represented with and/or trees used for knowledge representation in artificial intelligence. The definitions of flexibility and reactions to the opponent's moves are introduced with the help of a rule-based formalism. The implications of these definitions for the analysis of the negotiation process are presented. The approach is illustrated with a set of hypothetical examples.     

Using critical social theory to develop a conceptual framework for comparative social work

This paper sets out a conceptual framework for comparing and contrasting social work within nation-states and across international boundaries. The framework is "situated" theoretically within a (late)modernist understanding of events within advanced capitalism and draws primarily on Habermas' critical social theory. The authors apply this framework to explicate the development of social work in Northern Ireland, a region in which high levels of political conflict mark it out as a site of local, national and international interest. It is suggested that the ideas developed from the case study have relevance for the social professions in other countries, particularly where social conflict is in evidence.     

An Assessment of Social Work Education Efforts to Recruit and Retain MSW Students of Color

Social work programs in the United States (N=74) were investigated to determine strategies used for recruiting and retaining MSW students of color. Most schools had student populations exceeding 25,000 and combined BSW, MSW, and PhD programs. Data were collected using a Graduate Recruitment and Retention Scale with corresponding and acceptably stable subscales (alpha coefficients=.86 and .83, respectively). Long-term and durable problems were revealed vis-à-vis graduate student diversity, and few significant differences existed between public and private MSW program student diversity efforts. One exception was personalized follow-up to inquiries about application processes (p=0.01). Public or private status did not predict student diversity efforts in recruitment (Lambda [20, 35]=0.542, p>0.05, partial eta squared=0.458) or retention (Lambda [13, 50]=0.865, p>0.05, partial eta squared=0.135).     

How smart is smart? Theoretical and empirical considerations on implementing smart city objectives – a case study of Dutch railway station areas

The current widespread attention on the concept of smart city in both policy and practice has stimulated academic discussion regarding the scope and applicability of this concept. An important question is whether cities and regions are truly advanced in implementing the concept in their policies and practices relative to its conceptual elaborations in academia. The aim of this paper is to analyse this congruence between theory and practice in the context of the ongoing transformations of railway station areas in European urban regions. Based on in-depth interviewing using aspects of Q-methodology, this paper investigates whether and how smart city concepts are implemented by stakeholders in three station redevelopment projects in the Netherlands. The results show that the current implementation of smart city concepts in practice is varied but modest and not (yet) very advanced. Knowledge exchange and innovations are currently hampered by a lack of acceptance and know-how among stakeholders, as well as by institutional and competitive constraints. For instance, stakeholders stress that data privacy regulations should be well organized before further implementation can occur. Transparency about how and what data are used may create more willingness among users to assist in developing and accepting new data technologies. However, the technologies are not yet completely developed, and concerns about the “loss” of personal privacy are holding back the widespread and advanced use of data supplied technologies. Although stakeholders seem to be aware of the opportunities the smart city concept offers, for now, the widespread implementation of innovative and advanced smart city concepts remains in the future.