Variable-population extensions of social aggregation theorems

This paper examines principles for social evaluation under uncertainty in environments with a variable population. In contrast to most of the literature, we employ a model that is formulated in terms of prospects rather than lotteries. Starting from a fixed-population result, a multi-profile variant of Harsanyi’s social aggregation theorem is extended to a variable-population environment. Two nested classes of population principles under uncertainty are characterized. Each is a variable-population extension of ex-ante utilitarianism. The results continue to apply if the probability distribution may vary, as long as probabilities are objectively known or agreed upon by all individuals and society.     

Optimal adaptive sequential designs for crossover bioequivalence studies

In prior works, this group demonstrated the feasibility of valid adaptive sequential designs for crossover bioequivalence studies. In this paper, we extend the prior work to optimize adaptive sequential designs over a range of geometric mean test/reference ratios (GMRs) of 70–143% within each of two ranges of intra‐subject coefficient of variation (10–30% and 30–55%). These designs also introduce a futility decision for stopping the study after the first stage if there is sufficiently low likelihood of meeting bioequivalence criteria if the second stage were completed, as well as an upper limit on total study size. The optimized designs exhibited substantially improved performance characteristics over our previous adaptive sequential designs. Even though the optimized designs avoided undue inflation of type I error and maintained power at 80%, their average sample sizes were similar to or less than those of conventional single stage designs. Copyright © 2015 John Wiley & Sons, Ltd.     

Measuring societal effects of transdisciplinary research projects: design and application of an evaluation method

Most Transdisciplinary Research (TdR) projects combine scientific research with the building of decision making capacity for the involved stakeholders. These projects usually deal with complex, societally relevant, real-world problems. This paper focuses on TdR projects, which integrate the knowledge of researchers and stakeholders in a collaborative transdisciplinary process through structured methods of mutual learning. Previous research on the evaluation of TdR has insufficiently explored the intended effects of transdisciplinary processes on the real world (societal effects). We developed an evaluation framework for assessing the societal effects of transdisciplinary processes. Outputs (measured as procedural and product-related involvement of the stakeholders), impacts (intermediate effects connecting outputs and outcomes) and outcomes (enhanced decision making capacity) are distinguished as three types of societal effects. Our model links outputs and outcomes of transdisciplinary processes via the impacts using a mediating variables approach. We applied this model in an ex post evaluation of a transdisciplinary process. 84 out of 188 agents participated in a survey. The results show significant mediation effects of the two impacts "network building" and "transformation knowledge". These results indicate an influence of a transdisciplinary process on the decision making capacity of stakeholders, especially through social network building and the generation of knowledge relevant for action.     

Applying Computers in Social Service and Mental Health Agencies: A Guide to Selecting Equipment,Procedures and Strategies

Abstract

Students' perceptions of their field placements rarely are taken into account in the literature on field practicum and supervision. This survey of MSW students at a southern university examines factors associated with student satisfaction with field agency, field instructor, and field learning. The survey covers student and agency characteristics, learning goals and structure, supervision, and school-agency linkages. Students associated the quality of supervision and relevance of learning most highly with satisfaction in their placement experiences. Being treated as a professional in the agency, school-agency linkages, student characteristics, and amount of time engaged in specific social work activities were found not to be major factors in student satisfaction with field work.     

High-profile employees at universities and their intentions of commercializing research results

When university scientists consider their research results today, an entrepreneurial university wants them to explore more than the options for publication: invention disclosures and patent applications are increasingly becoming of interest as a step into the commercialization process. High-profile employees at universities face both the expectation and the opportunity to follow multiple careers: as scientists but also as drivers of the commercialization process and even as spin-off leaders. Organizational antecedents to such commercialization activities have largely been investigated to help universities design effective incentive systems that stimulate the inventive activity of their employees. However, it remains unclear to which set of incentives high-profile employees respond to. In applying Theory of Planned Behavior, the main contribution of our study is to demonstrate that attitude, subjective norm and perceived behavioral control influence high-profile employee’s intention to disclose an invention as the first step in a commercialization process. More detailed results show which belief factors in turn influence attitude, subjective norm and perceived behavioral control.