Research
Epistemology in Law: The Validity of Statistical and Predictive Models as Legal Evidence
My work within this project typically consists of two main areas of study: Legal and epistemic philosophy. Researching under Dr. Rodrigo Borges, a leading expert in epistemic justification, in the philosophy department I have began my studies in both disciplines for approximately one year.
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Specifically, my research tackles what defines epistemic justification within evidence in the Anglo-American legal tradition, defining how, why, and on what grounds we come to legally hold some pieces of evidence as admissible or not. From this, I also tackle whether newer forms of statistically informed and predictive models of scientific evidence are viable, and whether our current epistemic legal interpretation accommodates for these forms of evidence.
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Most of my responsibilities within the project consist of regularly scheduled textual interpretations with my supervising professor, in which I review the relevant literature on legal evidentiary interpretation and the development of newer scientific artificial intelligence models. Additionally, I also regularly develop and review already existing statistical models to gauge their logical application in trial.

