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Interrogating Bias in the Hiring Process

Date: Winter 2021

Partner(s): Juliana Bachulis

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In this project, my partner and I analyzed data on hiring bias using statistical techniques in R. This is the first project I undertook in R and it taught me how to apply statistical analysis techniques to real world data to construct a coherent argument.

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

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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

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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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