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Tools for Tracking Police Misconduct Data

Date: Summer 2021 – Spring 2022

Partner(s): Pragya Kallanagoudar

My work on this project is part of a much larger effort to help the National Association of Criminal Defense Lawyers and several journalistic organizations create a database that tracks police misconduct. I worked on identifying police misconduct cases by querying a larger database of legal cases, extracting relevant information from PDF versions of case files, and creating human-in-the-loop tools to allow for the verification of my program output. This is the second large-scale academic research project I have been a part of and my first experience building specialized tools for an audience I am receiving regular feedback from.

Categories
Data Visualization

“Let every word weight heavy of her worth”: Examining How Women Enact Power in Shakespeare’s Comedies through Interactive Speech Pattern Visualizations

Date: Winter 2022

Threads: Data Analysis, DH Feminism, Data Visualization, Distant Reading, Open Data, Humanities Visualization

View this project here

This project was my senior thesis for the English major. In it, I analyzed how women enact power in Shakespeare’s comedies by visualizing their speech patterns. I hand-annotated each comedy for who talks to whom, designed and coded visualizations to present the speech pattern data, and then wrote an essay analyzing the visualizations and contextualizing my work within previous literary and DH analysis of Shakespeare. This is the largest research project I have undertaken solo and it allowed me to execute a project from conception to execution. It was also the first time I explicitly used a feminist lens in creating and analyzing a visualization. This work is set to be published as part of the QuaDramA workshop proceedings in September 2022.

Categories
Data Visualization

“What care I for words?”: Visualizing Characters’ Speech in As You Like It

Date: Winter 2021

View this project here

In this project, I studied characters’ speech patterns in Shakespeare’s As You Like It. I hand-annotated the play for who talks to whom and then designed and coded a visualization that is meant to facilitate an explorative analysis these speech patterns. This project was the first time I created a visualization intended to facilitate literary analysis and it served as the starting point for my English senior thesis project.

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