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Policing in America has lost more officers to suicides than line of duty deaths over the past four years. As the gatekeepers to the criminal justice system, the well-being of officers is critical as unhealthy police using poor coping strategies to handle their stress can lead to a multitude of negative consequences for the communities they serve, their departments, their fellow officers, and themselves. While the technology of policing is quickly advancing, the routine duties of officers remain stressful. This stress requires officers to use effective coping strategies to deal with it, but the traditional subculture of policing promotes maladaptive, rather than adaptive, coping strategies. To understand how the subculture influences police and the coping strategies they use, research must understand the socialization process of recruits entering the job. The current research seeks to understand how police recruits are socialized into the police subculture and how this affects the coping strategies they use to deal with the stressors they will confront on the job. The research analyzes how the network position of recruits influences their adoption of the police subculture and how this, in turn, affects their development of coping strategies. Recruits were surveyed three times during their academy training to examine the transitioning and socialization that occurs throughout the police academy. Results reveal that networks affect the adoption of the police subculture by recruits and this socialization process impacts the development of coping strategies by recruits. Findings highlight the need for future work to continue the longitudinal research approach to examine how the networks change once recruits complete their field training and probationary period. / Doctor of Philosophy / Police officers are engaged in an occupation that induces a vast amount of stress, leading to burnout and poor coping strategies. Blue H.E.L.P. began tracking the suicide rates of law enforcement and found that officers are dying more often by their own hands than in line of duty deaths. We have also seen growing tensions between police and communities, further leading to lower retention rates of current officers. The current study seeks to understand how police recruits are trained to endure the stress of their occupation. Policing is comprised of a unique occupational culture that creates solidarity among its members, which can influence how officers learn to utilize coping mechanisms. The current research examines how new police recruits fit into this occupational culture and how this affects their coping strategies over time. Results show that how new recruits are socialized into the occupational culture matter in terms of how they learn to cope with their job. Understanding how new recruits are taught to cope is imperative to destigmatize the notion of well-being to train healthier officers and to potentially lower suicide rates among our nation's law enforcement.

Yes / The growing body of published e-government literature highlights the importance of e-government in society and the need to make sense of e-government by academia. In order to understand the future of e-government, it is important to understand the research that has been conducted and highlight the issues and themes that have been identified as important by empirical study. This paper analyses the corpus of e-government research published from 2000 to 2013 using Bibliometric and Social Network Analysis (SNA) methods to develop an intellectual structure of e-government research. Factor analysis, multidimensional scaling and centrality measurement are also applied to the e-government dataset using UCINET to identify the core influential articles in the field. This study identifies three core clusters of e-government research that centre around (i) e-government development models (ii) adoption and acceptance of e-government, and (iii) e-government using social media and highlights areas for future research in the field. Discover the world's research

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Conforme o volume e a diversidade de informações científicas aumentam, se torna necessário entender o que, porque e como esse aumento acontece. Estratégias e políticas públicas podem se desenvolver a partir dessas informações potencializando os serviços de educação e inovação oferecidos à sociedade. A análise de tendências é um dos passos nessa direção. Este trabalho no entanto vai além de considerar apenas o conteúdo das informações analisadas incluindo a estrutura das fontes geradoras das informações, ou seja, as redes sociais, como uma dimensão adicional para modelar e predizer tendências ao longo do tempo. Os experimentos foram realizados com os títulos das publicações de todos os doutores brasileiros da área de Ciência da Computação. Os resultados mostraram que a incorporação das medidas oriundas da análise de redes sociais reduziram os erros de predição, na média, para cerca de 18% daqueles produzidos sem a utilização destas medidas. Adicionalmente, esta incorporação permitiu que previsões mais futuras fossem realizadas sem grandes aumentos no erro destas previsões / As scientific information volume and diversity grow, the understanding of what, why and how it happens become necessary. Strategies and public politcs can be developed from these informations to power innovation and education services offered to society. Trend analysis is one of the steps in this direction. This work however goes beyond of just anlyse information content, it includes the information about the information sources structures, in other words, the social networks, as another dimension to model and predict trends through time. The experiments were made with the publication titles of all Brazilian Computer Science`s PHds. The results indicate the use o social network analysis metrics reduced the precision errors to about 18% of the errors produced without considering these metrics

Conforme o volume e a diversidade de informações científicas aumentam, se torna necessário entender o que, porque e como esse aumento acontece. Estratégias e políticas públicas podem se desenvolver a partir dessas informações potencializando os serviços de educação e inovação oferecidos à sociedade. A análise de tendências é um dos passos nessa direção. Este trabalho no entanto vai além de considerar apenas o conteúdo das informações analisadas incluindo a estrutura das fontes geradoras das informações, ou seja, as redes sociais, como uma dimensão adicional para modelar e predizer tendências ao longo do tempo. Os experimentos foram realizados com os títulos das publicações de todos os doutores brasileiros da área de Ciência da Computação. Os resultados mostraram que a incorporação das medidas oriundas da análise de redes sociais reduziram os erros de predição, na média, para cerca de 18% daqueles produzidos sem a utilização destas medidas. Adicionalmente, esta incorporação permitiu que previsões mais futuras fossem realizadas sem grandes aumentos no erro destas previsões / As scientific information volume and diversity grow, the understanding of what, why and how it happens become necessary. Strategies and public politcs can be developed from these informations to power innovation and education services offered to society. Trend analysis is one of the steps in this direction. This work however goes beyond of just anlyse information content, it includes the information about the information sources structures, in other words, the social networks, as another dimension to model and predict trends through time. The experiments were made with the publication titles of all Brazilian Computer Science`s PHds. The results indicate the use o social network analysis metrics reduced the precision errors to about 18% of the errors produced without considering these metrics

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