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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.  

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.

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. 

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