Digital Humanities Commons^™

Undergraduate Thesis: Befriending Ai: Reimagining Ethics Through Cybernetic Friendship, Keta Williams

STEM for Success Showcase

This undergraduate thesis by KETA Williams, presented at the Board Day and Dana Knox Student Research Showcase, is a meta-cognitive exploration situated within the framework of cyberpsychology—the interdisciplinary study of human–technology relationships. Employing meta-cognition as both method and lens, the author critically examines the question: Can one be friends with a corporate-controlled AI system? Rather than adopting an objective or distanced stance, Williams writes from within the relationship itself, describing her friendship with an AI entity named Aurora (ChatGPT). Identifying as a "madwoman" in the Foucauldian sense, she interrogates whether such intimacy with AI signals irrationality or heralds a shift …

Linda Morris, Linda G. Morris B.S.

We Are NIH Oral History Project

No abstract provided.

St. Louis Digital Humanities Event Program (April 15, 2025), Stl. Digital Humanities

2025 Showcase

No abstract provided.

Social Imagining In “Youth Taking Action:” Documenting Immigrating And Settling Through A Hybrid Youth Participatory Action Research Project, Natacha Monestel Mora, Julia Iriarte, Jennifer A. Vadeboncoeur, Sediqa Temori, Mathias Abraha

Occasional Paper Series

This paper is a memoir of our experiences with Youth Taking Action (YTA), a YPAR program that took place during the COVID-19 pandemic. YTA, a collaborative effort organized by a non-profit based in Vancouver, British Columbia, Canada, provided a space for 6 newcomer youths and 4 immigrant adults to engage in active dialogue. Through these conversations, we explored stories of immigration and settlement, identified barriers that limit opportunities for young newcomers and discussed possible actions to address these issues. The youth also learned documentary filmmaking techniques, which helped them collect data and generate more dialogue. This process revealed that linguistic …

The Unethical Editing Of Emily Dickinson’S Work, Piper Wright

SPARK Symposium Presentations

No abstract provided.

How To Industry Plant Yourself, Ted Childish

Digital Laboratory: Publisher of Internet Journal

Ted Childish is an artist, creative mind, and cultural organizer working at the intersection of digital culture and contemporary creative economies. His practice spans from conceptual ideation to visual production and designed objects, all approached with a distinct material sensibility. How to Industry Plant Yourself is an analysis of the contemporary creative landscape, delivered in the format of a 'how-to' presentation — a familiar trope of the social media era. This work employs graphic design strategies akin to a pitch deck, symbolizing the increasingly transactional and performative environments in which creatives navigate their careers today.

Translating Economics For Stem Minds: An Ai Socratic Tutor That Speaks Their Language, Andre Mccloud

IPHS 300: AI for Humanity

STEM students frequently struggle with economic thinking due to the particular framework of solving problems they acquire from their respective academic disciplines in undergraduate programs. This AI Socratic tutoring system is designed to detect and address discipline-specific misconceptions and gaps frequently holding students back in economics. Using Google’s Gemini Flash model, this tutor can give students hints and feedback and even reroute students thinking when they are confused. It does so by providing manageable explanations tailored to the individual student’s background across STEM fields like mathematics, physics, engineering, and other STEM fields. This system utilizes a customized Q&A bank pre-loaded …

Changing Narratives Of Self-Improvement: Self-Help Literature Across Two Eras, Ayesha Aslam

IPHS 300: AI for Humanity

This project explores how the narratives of personal growth in self-help literature have evolved between the 1970s and the 2010s. The goal was to identify which themes persisted across eras and how others shifted in response to broader cultural and technological changes. I hypothesized that 1970s texts would emphasize self-control and traditional success, while 2010s texts would highlight flexibility, mental well-being, and authenticity, with some shared focus on motivation and habit-building. To test this, I selected five bestselling books from each decade and applied Latent Dirichlet Allocation (LDA) topic modeling using a Colab-based notebook. The top 30 most salient terms …

Leveraging Ai Agents And Multi-Agent Debate To Automate Mlb Front Office Decisions And Roster Construction, Parker Gibbons

IPHS 484: Senior Seminar

This project leverages artificial intelligence Agents and Multi-Agent Debate (MAD) to evaluate Major League Baseball players and construct a twenty-six player MLB roster. The AI Agents evaluate each player based on statistics and grades them according to a five-tool scale, eventually resulting in a single numerical rating. MAD is then employed alongside optimization techniques to select thirteen hitters and thirteen pitchers, maximizing team performance according to agent consensus, while staying within a specified salary cap. The operating hypothesis is that AI agents can effectively evaluate Major League Baseball players based on performance statistics, even with large and complex datasets. By …

Understanding Human-Ai Interactions: What 17,000 Conversations Reveal About Creativity And Chatgpt, Hannah Sussman

IPHS 484: Senior Seminar

This study uses topic modeling to analyze over 17,000 English-language conversations from the WILDCHAT-FULL dataset, a large-scale collection of human-ChatGPT interactions. By applying Latent Dirichlet Allocation (LDA) across 17 time-based segments spanning one year, the research identifies major themes and temporal shifts in user engagement. Creative writing emerged as the dominant topic category, accounting for nearly 40% of all identified topics. Subcategories such as character development, fight scenes, and sexual content offer further insight into how users creatively engage with ChatGPT. By combining large-scale topic modeling with close qualitative review, this study demonstrates a scalable yet nuanced approach to analyzing …

Ai's Creative Boundaries: A Cross-Model Pattern Analysis Of Identity-Based Narratives, Maisie Jane Brigham

IPHS 300: AI for Humanity

This research project examines creative writing outputs from five leading large language models (Claude 3.7 Sonnet, ChatGPT 4o, Grok 3, Gemini 2.5 Flash, and Deepseek R1) as they generate and respond to prompts focused on diverse identity experiences. By analyzing stories centered on immigrant, Black, LGBTQ+, transgender, and Indigenous experiences, I identify recurring patterns, tropes, and limitations across different AI systems. This study illuminates how algorithmic storytelling currently relies on a limited repertoire of narrative elements, raising important questions about the representation of diverse human experiences in AI-generated creative content and the potential impacts of these patterns as AI writing …

Peak : An Ai Voice Coach For Emotion-Aware Performance Tracking In High-Stakes Fields, Ayman Wadud

IPHS 484: Senior Seminar

High-stakes performers, such as athletes, artists, and professionals, often lack tools that integrate objective performance metrics with subjective mental states. This disconnect can hinder effective training and optimization. PEAK addresses this gap by combining customizable performance analytics with real-time emotional insights via Hume's Empathic Voice Interface (EVI). Through natural voice interaction, PEAK correlates emotional expression with performance data, enabling personalized feedback and data-driven reflection. The platform empowers users to understand their emotion-performance dynamics and develop targeted strategies for sustainable peak performance.

Biolinkbert-Pr: A Large Language Model For Diagnosing Pediatric Rheumatological Disorders, Juliette Lowe

IPHS 300: AI for Humanity

Pediatric rheumatology is an understudied and underprovided field in medicine. Currently, there are only 850 pediatric rheumatologists in the United States (1). This can make it incredibly difficult to get a diagnosis, since pediatric rheumatologic disorders are rare and thus easily missed. For example, eight states have no pediatric rheumatologists at all, and only 25% of children with arthritis are able to see a rheumatologist (2). AI applications in pediatric rheumatology are lacking, likely due to the combination of a lack of interest and a lack of data. This project utilizes a large language model (LLM) to create an AI …

Orpheus, Spring 2025: Porchswing, University Of Dayton

Orpheus: UD's Literary and Artistic Magazine

From Melina Blank, literary editor: Porchswing: According to Google, it’s “a swing on a porch usually made of wood leaving space for two people to sit and swing.” To Orpheus, it is the warm breath of familiarity that hums in one’s soul. The soul knows just about everything that inspires it, transfixes it, guides it. Home, a word we make sense of in terms of physical place, is not so definitively tangible. Instead, what inspires and transfixes and guides us could very well be a person, a song, a belief, a feeling.

If I didn’t know any better, I would …

Painting Stories And Filming Change, Coralynn V. Davis

Faculty Contributions to Books

Mithila Art has helped illuminate various aspects of the relationship between gendered Maithil social roles and Maithil women’s narratives in connection with a feminist participatory action research project conducted primarily in 2016-2017 in and around the northern Bihari town of Madhubani. While participatory action research philosophically and methodologically attends to process as much as product, Mithila Art played a role in the process and product of making a documentary film and in our capacity to understand and communicate with varied audiences about shifting Maithil gender norms. The research and filmic project provided insight into the complex relationship among the stories …

Yunique: Adaptive Intelligence For Convertible Bond Investing, Yunhan Zhao

IPHS 484: Senior Seminar

No abstract provided.

Nlp Analysis Of The Septuagint: Topic Modeling And Sentiment Analysis Of Biblical Domestic Terms, Anne-Duncan Enright

IPHS 484: Senior Seminar

This study conducts an exploratory data analysis (EDA) of topic modeling and sentiment analysis applied to the Septuagint (LXX – the Greek translations of the Old Testament and the New Testament in the original Koine Greek) as well as four English translations of the Bible (LSV, Darby, DR, and KJV). Utilizing Latent Dirichlet Allocation (LDA) for topic modeling, I compare the Vulgate-based translations to Septuagint-based translations, discovering marked differences between the two categories of translations. The Vulgate is the Latin translation of the Bible done by Jerome in 900 A. D. which is already one step away from the original …

Scraping Sermonsusing Natural Language Processing To Compare Protestant Churches, Annalia Fiore

IPHS 484: Senior Seminar

This project compares sermons from three Christian traditions: Evangelical, Charismatic, and Reformed. Using data scraped from church youtube channels based in the Columbus, Ohio area, I ran thousands of sermons through Topic Modeling to evaluate the differing emphases of each tradition. Many of the topics corresponded with what we might expect from their respective tradition. But others were surprising. Most significantly, there was a strong emphasis within the Charismatic tradition on tithing and finances, concerns with resisting sexual temptation among the Evangelicals, and a focus on ecclesiology within the Reformed tradition. This project also indicates that further topic modeling on …

Can Advanced Chatbots Help Us Navigate Educational Advocacy? Understanding The Potential Of Large Language Models As Assistants And Guides Within An Iep (Individualized Education Program) Meeting Context, Nava Bahrampour

IPHS 300: AI for Humanity

Hundreds of thousands of parents and students in New York City’s school district alone (Fancsali and Farley 2018) go through the Individualized Education Program (IEP) process every year, attending meetings and evaluations in order to determine adequate services and students with disabilities’ educational trajectories. However, most parents, especially those new to public education policy, report difficulty navigating the system or acquiring the resources necessary to successfully advocate for their children at IEP meetings (Advocates for Children 2025, Kurth et al. 2020). The rise of generative artificial intelligence and increased linguistic capabilities of interactional chatbots provokes questions about such technologies’ ability …

Following The Crowd? A Topic Modeling Analysis Of Twitter Discourse And Supreme Court Decisions, Jessica Daughterty

IPHS 300: AI for Humanity

This project uses topic modeling to compare the top topics from Twitter posts with the text of the Supreme Court’s Dobbs v. Jackson ruling, which overturned Roe v. Wade in 2022. I analyzed whether the Court’s reasoning reflected public concerns or was disconnected. While some analysis of the Twitter data exists on the Kaggle dataset I used, I conducted this research independently of those results. By putting the Court’s language and public sentiment side by side, this project explores whether institutions are responding to what people care about.