Intersecting Inequities
Our Team
We are a group of committed student researchers from the University of California, Berkeley, driven by a shared passion for investigating and addressing the intricate intersections of gender, race, and class dynamics that contribute to economic disparities. Together, we have collaboratively developed this digital humanities project, which includes tasks such as gathering data, annotating bibliographies, crafting narratives, creating visualizations, and building a comprehensive website.
Jonghoon Park
I’m a junior majoring in Data Science. In our Digital Humanities project, I led the overall direction of the Narrative section and authored the part on Marxism. Additionally, I researched and compiled the Marxism section for the Annotated Bibliography, contributing to the project's depth and scholarly rigor.
Yongoh Moon
I am a senior at UC Berkeley majoring in Data Science with a minor in Computer Science. I have a strong interest in machine learning. In this project, I served as one of the Narrative Composers. I researched CRT-related materials for the annotated bibliography and focused on the Critical Race Theory section in the narrative.
Geonwoo Kim
I am a senior majoring in Data Science with an emphasis on Cognition. In our Digital Humanities project, I served as one of the Narrative Composers. I focused on the feminism section, thoroughly researching feminist theories and contributing to the annotated bibliography. My work aimed to provide a comprehensive and nuanced exploration of feminist perspectives within narratives.
Sunghyun Kim
I am a senior at UC Berkeley majoring in Data Science with a Domain Emphasis in Economics. I specialize in data visualization and analysis, extracting insights from datasets and critically assessing these insights through visual representations.
Ellen Cheong
I am a rising senior majoring in Data Science with an emphasis in Population Health. I played a key role in designing and laying out the webpage. Additionally, I contributed to data analysis and critique as well as annotated bibliographies.
We would like to extend our gratitude to our professor Dr. Scott Caddy, for an invaluable advice and guidance throughout our project. Additionally, we appreciate the DigHum100 course staff for their comprehensive instruction and for providing us with the materials and theories essential to the development of this project.
We chose the "Wages by Education" dataset for its relevance to our analysis of economic inequality through feminist theory, critical race theory, and Marxism. We selected Python and integration with Jupyter Notebooks, providing an interactive environment for real-time data analysis and user-driven content updates. We prioritized creating comprehensive visualizations such as comparative graphs to highlight disparities effectively. Our website was built using Wix for its responsive design and user-friendly navigation, ensuring accessibility and an optimal viewing experience across all devices.