Natural disasters are uniquely transformative events. They can drastically transform physical terrain and the lives of those unfortunate enough to be caught in their wrath. However, natural disasters also provide an opportunity to reflect on past failures and, at times, a clean slate to correct those shortcomings. This project takes a political economic approach and recognizes natural disasters as occasions for agenda-setting on behalf of transnational commercial enterprises and market-oriented policy elites. These reformers often use the post-disaster policy space to articulate long-term development strategies based on market fundamentalism, and, more importantly, advance a set of policies consistent with their particular interests. This dissertation delves into that process and identifies the actors, their preferences and the policy outcomes. Using the business conflict model alongside changing transnational processes, this project identifies and traces post-disaster policy making in the Caribbean Basin. It also explores and provides a more nuanced explanation of its effect upon and within certain socioeconomic groups. What becomes apparent is that natural disasters are opportunities to first fracture national economies and then integrate them into transnational processes of capital accumulation. Given that economic viability is increasingly determined by assimilation into the global production processes, reformers in both developed and developing countries use disasters as occasions for re-orienting national economies towards this end. It is within this distorted integrative process that disaster capitalism is located.

Stockton is a city suffering from the sudden realization that it is no longer a small farm town, end that in the process of becoming a moderate-sized city, a community faces inevitable growing pains. The municipal recreation phase of city government well illustrates this fact. Because of the great need for expansion in this field, and because the city is now just beginning to rise to meet the occasion, a study of the Recreational Department and the program of the Metropolitan Recreation Commission in Stockton City Government and San Joaquin County, is a particularly interesting activity. In contrast to many theses which are based upon research in books and periodicals, this thesis has been the outgrowth of investigation based largely upon interviews with persons concerned with this phase of city government and upon personal observation, as well as reports and newspaper accounts of activities. As a resident of Stockton during much of the time covered in this report, as an attendant at periodic meetings of both the Junior Youth Council and the Stockton Youth Council, as a participant in some of the Recreation Department's activities, and as a former employee of a Stockton group work agency, the author has had to guard against subjective reporting in writing this paper. She has. attempted to record evaluations which she considered valid and to include facts and sources on which her opinions were based.

Researchers use natural phenomena in a number of disciplines to help explain human behavioral outcomes. Research regarding the potential effects of magnetic fields on animal and human behavior indicates that fields could influence outcomes of interest to social scientists. Tests so far have been limited in scope. This work is a preliminary evaluation of whether the earth’s magnetic field influences human behavior it examines the baseline relationship exhibited between geomagnetic readings and a host of social and political outcomes. The emphasis on breadth of topical coverage in these statistical trials, rather than on depth of development for any one model, means that evidence is only suggestive – but geomagnetic readings frequently covary with social and political variables in a fashion that seems inexplicable in the absence of a causal relationship. The pattern often holds up in more-elaborate statistical models. Analysis provides compelling evidence that geomagnetic variables furnish valuable information to models. Many researchers are already aware of potential causal mechanisms that link human behavior to geomagnetic levels and this evidence provides a compelling case for continuing to develop the line of research with in-depth, focused analysis.

The work motivation construct is central to the theory and practice of many social science disciplines. Yet, due to the novelty of validated measures appropriate for a deep cross-national comparison, studies that contrast different administrative regimes remain scarce. This study represents an initial empirical effort to validate the Public Service Motivation (PSM) instrument proposed by Kim and colleagues (2013) in a previously unstudied context. The two former communist countries analyzed in this dissertation—Belarus and Poland— followed diametrically opposite development strategies: a fully decentralized administrative regime in Poland and a highly centralized regime in Belarus. The employees (n = 677) of public and nonprofit organizations in the border regions of Podlaskie Wojewodstwo (Poland) and Hrodna Voblasc (Belarus) are the subjects of study. Confirmatory factor analysis revealed three dimensions of public service motivation in the two regions: compassion, self-sacrifice, and attraction to public service. The statistical models tested in this dissertation suggest that nonprofit sector employees exhibit higher levels of PSM than their public sector counterparts. Nonprofit sector employees also reveal a similar set of values and work attitudes across the countries. Thus, the study concludes that in terms of PSM, employees of nonprofit organizations constitute a homogenous group that exists atop the administrative regimes. However, the findings propose significant differences between public sector agencies across the two countries. Contrary to expectations, data suggest that organization centralization in Poland is equal to—or for some items even higher than—that of Belarus. We can conclude that the absence of administrative decentralization of service provision in a country does not necessarily undermine decentralized practices within organizations. Further analysis reveals strong correlations between organization centralization and PSM for the Polish sample. Meanwhile, in Belarus, correlations between organization centralization items and PSM are weak and mostly insignificant. The analysis indicates other factors beyond organization centralization that significantly impact PSM in both sectors. PSM of the employees in the studied region is highly correlated with their participation in religious practices, political parties, or labor unions as well as location of their organization in a capital and type of social service provided.

Adaptability and invisibility are hallmarks of modern terrorism, and keeping pace with its dynamic nature presents a serious challenge for societies throughout the world. Innovations in computer science have incorporated applied mathematics to develop a wide array of predictive models to support the variety of approaches to counterterrorism. Predictive models are usually designed to forecast the location of attacks. Although this may protect individual structures or locations, it does not reduce the threat—it merely changes the target. While predictive models dedicated to events or social relationships receive much attention where the mathematical and social science communities intersect, models dedicated to terrorist locations such as safe-houses (rather than their targets or training sites) are rare and possibly nonexistent. At the time of this research, there were no publically available models designed to predict locations where violent extremists are likely to reside. This research uses France as a case study to present a complex systems model that incorporates multiple quantitative, qualitative and geospatial variables that differ in terms of scale, weight, and type. Though many of these variables are recognized by specialists in security studies, there remains controversy with respect to their relative importance, degree of interaction, and interdependence. Additionally, some of the variables proposed in this research are not generally recognized as drivers, yet they warrant examination based on their potential role within a complex system. This research tested multiple regression models and determined that geographically-weighted regression analysis produced the most accurate result to accommodate non-stationary coefficient behavior, demonstrating that geographic variables are critical to understanding and predicting the phenomenon of terrorism. This dissertation presents a flexible prototypical model that can be refined and applied to other regions to inform stakeholders such as policy-makers and law enforcement in their efforts to improve national security and enhance quality-of-life.