Municipal Groundwater Management: Optimal Allocation and Control of a Renewable Natural Resource

We study a municipal groundwater management problem to determine optimal allocation and control policies in the presence of water transfer opportunities. We establish and characterize threshold polices governing export or import decisions of a given municipality. In the spirit of the Triple Bottom Line (3BL), we ascertain that exporting (importing) water through a water market defined by an exogenous export/import price is detrimental (beneficial) to both society and the environment within the municipality. In contrast, fixed quantity trading between two municipalities defined by an endogenously negotiated export/import price can have positive as well as negative impacts from a global 3BL perspective. In particular, typical trading scenarios that occur between municipalities can be detrimental to the environment. We also study the implications of privatization, and find that a privatized municipality would be more (less) likely to export (import) water as compared to its non‐privatized counterpart, resulting in negative implications for society within the municipality. However, if exports are banned, privatization can benefit the environment by mitigating the damage caused by the extraction differential, a phenomenon analogous to the green paradox. Moreover, careful and restricted privatization of municipalities can lead to positive global 3BL impacts from fixed quantity trading.     

Perceptions of leadership success from nonverbal cues communicated by orchestra conductors

Research has suggested that people can extract information relevant to leadership from thin slices of behavior. Nearly all of this research has been conducted in the context of large organizations where the relationships between leaders and followers are relatively indirect, however. We therefore examined here whether participants could extract similar information about leadership success from contexts with direct leader–follower interactions: conductors of orchestras. We found that perceivers could accurately discern conductors' success from brief video clips and that perceptions of expressiveness and age formed the basis for this accuracy. Thus, the current work demonstrates that leadership success is perceptible from nonverbal cues not only for the leaders of large organizations, but also in the context of groups where leaders and followers must continually and dynamically interact to produce successful outcomes.     

Connecting Knowledge and Policy: The Promise of Community Indicators in the United States

There are over 200 identified community based indicator projects in the United States. This paper reviews the factors that contribute to the success and failure of community indicator projects and discusses the types of desired outcomes that communities are trying to achieve. Both organizational and political factors contributing to the success of community indicators projects are discussed. Appendices include information on many of the community indicator projects in the United States. Advice for communities seeking to launch an indicator project are outlined.     

An interactive web-based method of outreach to college students at risk for suicide

OBJECTIVE AND PARTICIPANTS: From 2002 to 2005, the authors tested an interactive, Web-based method to encourage college students at risk for suicide to seek treatment. METHODS: The authors invited students at 2 universities to complete an online questionnaire that screened for depression and other suicide risk factors. Respondents received a personalized assessment and were able to communicate anonymously with a clinical counselor online. At-risk students were urged to attend in-person evaluation and treatment. RESULTS: A total of 1,162 students (8% of those invited) completed the screening questionnaire; 981 (84.4%) were designated as at high or moderate risk. Among this group, 190 (19.4%) attended an in-person evaluation session with the counselor, and 132 (13.5%) entered treatment. Students who engaged in online dialogues with the counselor were 3 times more likely than were those who did not to come for evaluation and enter treatment. CONCLUSIONS: The method has considerable promise for encouraging previously untreated, at-risk college students to get help.     

Convivial Quarantines: Cultivating Co-presence at a Distance

Qualitative Sociology - Sociology’s focus on sociality and co-presence has long oriented studies of commensality—the social dimension of eating together. This literature commonly...     

The Use of Latent Semantic Analysis in Operations Management Research

In this article, we introduce the use of Latent Semantic Analysis (LSA) as a technique for uncovering the intellectual structure of a discipline. LSA is an emerging quantitative method for content analysis that combines rigorous statistical techniques and scholarly judgment as it proceeds to extract and decipher key latent factors. We provide a stepwise explanation and illustration for implementing LSA. To demonstrate LSA's ability to uncover the intellectual structure of a discipline, we present a study of the field of Operations Management. We also discuss a number of potential applications of LSA to show how it can be used in empirical Operations Management research, specifically in areas that can benefit from analyzing large volumes of unstructured textual data.     

Reforming pensions: Myths, truths, and policy choices

This paper discusses the building blocks of pension reform in the light of economic theory, and their application to different types of economy. The opening section sets out the simple economics of pensions. The second section discusses a series of myths which have proved remarkably persistent. Building on this analysis, the latter part of the paper sets out the foundations of effective pensions policy. The third section discusses the prerequisites which any pension reform must respect, i.e. those things which policy advisers can — and should — assert authoritatively. The fourth section turns to the range of choices facing policymakers, drawing on the very different arrangements in different countries. The main conclusions are threefold: (1) The key variable is effective government. (2) From an economic perspective, the difference between pay-as-you-go and funding is second order. (3) The range of potential choice over pension design is wide. One size does not fit all.     

On inference from inconsistent premisses

The main object of this paper is to provide the logical machinery needed for a viable basis for talking of the consequences, the content, or of equivalences between inconsistent sets of premisses.With reference to its maximal consistent subsets (m.c.s.), two kinds of consequences of a propositional set S are defined. A proposition P is a weak consequence (W-consequence) of S if it is a logical consequence of at least one m.c.s. of S, and P is an inevitable consequence (I-consequence) of S if it is a logical consequence of all the m.c.s. of S. The set of W-consequences of a set S it determines (up to logical equivalence) its m.c.s. (This enables us to define a normal form for every set such that any two sets having the same W-consequences have the same normal form.) The W-consequences and I-consequences will not do to define the content of a set S. The first is too broad, may include propositions mutually inconsistent, the second is too narrow. A via media between these concepts is accordingly defined: P is a P-consequence of S, where P is some preference criterion yielding some of the m.c.s. of S as preferred to others, and P is a consequence of all of the P-preferred m.c.s. of S. The bulk of the paper is devoted to discussion of various preference criteria, and also surveys the application of this machinery in diverse contexts - for example, in connection with the processing of mutually inconsistent reports.     

Adjusting overall survival for treatment switches: commonly used methods and practical application

In parallel group trials, long‐term efficacy endpoints may be affected if some patients switch or cross over to the alternative treatment arm prior to the event. In oncology trials, switch to the experimental treatment can occur in the control arm following disease progression and potentially impact overall survival. It may be a clinically relevant question to estimate the efficacy that would have been observed if no patients had switched, for example, to estimate ‘real‐life’ clinical effectiveness for a health technology assessment. Several commonly used statistical methods are available that try to adjust time‐to‐event data to account for treatment switching, ranging from naive exclusion and censoring approaches to more complex inverse probability of censoring weighting and rank‐preserving structural failure time models. These are described, along with their key assumptions, strengths, and limitations. Best practice guidance is provided for both trial design and analysis when switching is anticipated. Available statistical software is summarized, and examples are provided of the application of these methods in health technology assessments of oncology trials. Key considerations include having a clearly articulated rationale and research question and a well‐designed trial with sufficient good quality data collection to enable robust statistical analysis. No analysis method is universally suitable in all situations, and each makes strong untestable assumptions. There is a need for further research into new or improved techniques. This information should aid statisticians and their colleagues to improve the design and analysis of clinical trials where treatment switch is anticipated. Copyright © 2013 John Wiley & Sons, Ltd.