Data Science & Humanities Symposium

Friday, March 7, 2025

Join us for an interdisciplinary symposium exploring the intersection of data science and the humanities. This event features renowned scholars utilizing computational methods to address key questions in the humanities, along with opportunities for networking and discussion.

This symposium consists of two distinct events:

A daytime symposium featuring three invited speakers, open only to CU Boulder participants in the Center for British & Irish Studies - M549. This session provides an in-depth exploration of computational methods in the humanities with opportunities for discussion and networking.��
(Capacity: 80 attendees max. Lunch is provided for registered attendees.)

12:00 – 1:00 PM | Lunch & Welcome

1:00 – 2:15 PM | Speaker 1: Katherine Elkins – Introduction & Talk

2:15 – 2:30 PM | Coffee/tea break

2:30 – 3:45 PM | Speaker 2: Jo Guldi – Introduction & Talk

3:45 – 4:00 PM | Coffee/tea break

4:00 – 5:15 PM | Speaker 3: Katherine Bode – Introduction & Talk

An evening keynote presentation by Dr. Safiya U. Noble, which is open to the public and will take place in the Chancellor’s Auditorium (Center for Academic Success and Engagement - CASE). This talk will address algorithmic bias, digital justice, and the role of technology in shaping society.��
(Capacity: 200 attendees max.)

5:15 – 5:30 PM | Walk to Chancellor’s Auditorium (CASE) - (if you attended the daytime symposium)

5:30 – 6:45 PM | Speaker 4: Dr. Safiya U. Noble – Introduction & Keynote

Both events require separate registration. See details below:

Daytime Symposium (12:00 – 5:15 PM) - Open to CU Boulder Only

Event Details

📍 Location: Center for British & Irish Studies (M549)
�� Time: 12:00 – 5:15 PM
�ʦ Capacity: 80 attendees maximum (CU Boulder participants only)
🥗 Lunch & Networking: Provided for attendees who register and indicate they will be eating lunch.
📖 Topics: The daytime symposium focuses on how computational tools, big data, and digital methodologies are transforming the study of literature, history, and culture. Each speaker will present their research on integrating machine learning, artificial intelligence, and statistical analysis into traditional humanities disciplines.
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Speakers

Speaker 1: Katherine Elkins

NEH Distinguished Teaching Associate Professor of Humanities & Comparative World Literature, Kenyon College

Katherine Elkins is a leading scholar in digital humanities, integrating computational tools into literary studies and research. She has developed innovative AI-assisted literary analysis techniques and teaches courses that explore the relationship between literature, machine learning, and emerging digital technologies. Her work examines how artificial intelligence can be used to model human creativity and narrative structures, helping to redefine our understanding of storytelling in the digital age.

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Speaker 2: Jo Guldi

Distinguished Teaching Associate Professor of History, Emory University

Jo Guldi is a historian specializing in the history of capitalism, property, and infrastructure, using big-data methodologies to uncover long-term historical patterns. She applies machine learning, natural language processing (NLP), and statistical analysis to historical archives, revealing insights into power structures, land reform, and economic policy across centuries. Guldi is also the author of The History Manifesto, a book advocating for the use of big data and computational history in shaping public policy.

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Speaker 3: Katherine Bode

Professor of Literary & Textual Studies, Australian National University

Katherine Bode's research bridges the worlds of literature and computation, developing methods that merge computational analysis and literary criticism. She is a pioneer in distant reading, an approach that uses data analysis to examine literary trends across vast collections of texts. Bode’s research applies digital methods to explore questions of authorship, literary history, and cultural influence, shedding new light on how literature evolves in different sociopolitical contexts.

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Join Us!

This symposium offers an exciting opportunity to explore how data-driven approaches are transforming the humanities. Whether you're a researcher, student, or just curious about digital humanities, we invite you to attend, engage in discussions, and connect with leading scholars in the field.

Evening Symposium (5:15 – 6:45 PM) - Open to the Public

Event Details

📍 Location:Chancellor’s Auditorium (Center for Academic Success and Engagement - CASE)
�� Time: 5:15 – 6:45 PM
�ʦ Capacity: 200 attendees maximum (open to public)
📖 Topics: The evening keynote by Dr. Safiya U. Noble addresses the social impact of digital technologies, focusing on algorithmic bias, racial justice, and ethical AI.
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Speaker

Dr. Safiya U. Noble

Professor, UCLA | Director, Center on Race & Digital Justice | Co-Director, Minderoo Initiative on Tech & Power

Dr. Safiya U. Noble is a groundbreaking researcher in algorithmic bias, race, and digital justice. Her bestselling book, Algorithms of Oppression, exposes how search engines and AI systems reinforce racial and gender biases, shaping perceptions of marginalized communities. As the Director of the Center on Race & Digital Justice, she works to ensure that digital technologies promote fairness and accountability. Dr. Noble’s research is crucial in an era where artificial intelligence increasingly influences everything from hiring practices to criminal justice.

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