In this dissertation I will demonstrate a novel application of self-exciting point process models to mass shooting data. I will also introduce two adaptations to the traditional nonparametric Hawkes process modeling framework. One such modification allows for the estimation of the additional productivity introduced by an event that is not...
Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...
The primary goal of this dissertation is to improve the quality of nuclear data available to the nuclear science community. We propose to accomplish this by applying machine learning algorithms to the large number of available benchmark experiments and simulations, with the goal of determining which nuclear data have strong...
This dissertation examines women's lives in a rapidly urbanizing rural community in Southern Pakistan to understand their responses to modernity in developing societies. Applying a mixed-methods approach, socio-demographic data is collected and contrasted with oral history and personal narratives to analyze social change through women's access to education and reproductive...