Spatial Management of Wildlife Disease

The spread of wildlife diseases is a major threat to livestock, human health, resource-based recreation, and biodiversity conservation (Cleaveland, Laurenson, and Taylor). The development of economically sound wildlife disease-management strategies requires an understanding of the links between ecological functions (e.g., disease transmission and wildlife dispersal) and economic choices, and the associated tradeoffs. Spatial linkages are particularly relevant. Yet while ecologists have long-argued that space is important (Hudson et al.), prior economic work has largely ignored spatial issues. For instance, Horan and Wolf analyzed a case study of bovine tuberculosis (bTB) in Michigan deer, a problem where the disease appears to be confined to a single, spatially confined, wildlife population—an island. But wildlife disease matters generally are not spatially confined. Barlow, in analyzing bTB in possums in New Zealand, accounted for immigration of susceptible possums into a disease reservoir. However, he modeled immigration as fixed and unaffected by management. Bicknell, Wilen, and Howitt, also focusing on possums in New Zealand, developed a model that incorporates simple density-dependent net migration. This allowed the authors to account for endogenous immigration when deriving optimal culling strategies.

Talent Management in Higher Education: Developing Emerging Leaders Within the Administration at Private Colleges and Universities

This research focused on identifying a series of successful practices relating to administrative talent management within the higher education setting. The field study included a thorough examination of seven small to mid-size private colleges and universities that have incorporated employee development strategies. These strategies were aimed at growing future leaders from within the organization in order to achieve continuity and support institutional priorities. Specifically, several focus areas were investigated including presidential vision, leadership commitment, talent management’s place among institutional priorities, program characteristics, and program evaluation. Among the commonalities that were gathered included support at the senior officer level who serve as advocates, mentors, and program facilitators, a strong connection between talent management and the institutions’ strategic plans, and a holistic approach to developing talent at all levels of the organizations. In addition, both coaching and opportunities for growth in the work environment were evident within several of the institutions. Also, academic leadership development was considered to be a part of the talent management strategy within three of the colleges and universities. The key differentiators included the incorporation of organizational and leadership competencies to provide focus toward the performance development process at two institutions, the implementation of a succession planning model at another institution, and the location of human resource generalists in departments across two of the institutions to identify learning opportunities for both individuals and work teams. Based on both the findings from the field study and the literature review, a comprehensive procedural model is introduced that serves to support human resource departments and higher education professionals, in general, who are looking to either begin or broaden their own talent management approach. However, despite the progress that has been made across several institutions noted throughout the research study, much more must be learned in terms of how the time and resources invested in talent management translates to institutional success. Advisor: James O‘Hanlon

Centralized vs. Distributed Connection Management Schemes under Different Traffic Patterns in Wavelength-Convertible Optical Networks

Centralized and Distributed methods are two connection management schemes in wavelength convertible optical networks. In the earlier work, the centralized scheme is said to have lower network blocking probability than the distributed one. Hence, much of the previous work in connection management has focused on the comparison of different algorithms in only distributed scheme or in only centralized scheme. However, we believe that the network blocking probability of these two connection management schemes depends, to a great extent, on the network traffic patterns and reservation times. Our simulation results reveal that the performance improvement (in terms of blocking probability) of centralized method over distributed method is inversely proportional to the ratio of average connection interarrival time to reservation time. After that ratio increases beyond a threshold, those two connection management schemes yield almost the same blocking probability under the same network load. In this paper, we review the working procedure of distributed and centralized schemes, discuss the tradeoff between them, compare these two methods under different network traffic patterns via simulation and give our conclusion based on the simulation data.