At Kenyon College, I co-founded the world’s first human-centric AI curriculum. I am the sole technical advisor and the primary collaborative content creator. Over the last six years of teaching this curriculum, we have achieved the following milestones:

• Research: Published research in top publications and conferences (Cambridge UP, Narrative, Journal of Cultural Analytics, etc.) with clear growth in citations.

• AI Digital Humanities/DH Colab Research: Organically grew (no marketing/PR) to ~15k hits from top universities worldwide (#4 CMU, #5 Berkeley, #6 Stanford, #7 Columbia, #9 NYU, #16 Princeton, #22 Oxford, #23 MIT, #25 Cambridge, etc.)

• Diversity:

• Female Grew from 18% to 61% between 2017-2021
• Hispanic participation rates are often at or above college averages
• African-American 13% (Fall 2022 estimate above)
• Non-STEM Our classes are ~90% non-STEM from across nearly all departments, enfranchising many students who may otherwise feel alienated by traditional CS programs
• 100% Pass rate (Quality of student work independently confirmed by success of their research archive at digital.kenyon.edu/dh)
• 0% Drop rate

• Enrollment: Experienced enrollment growth from 20 to 120 between 2017-2022 becoming one of the largest classes at Kenyon as an elective with no credit toward the traditional STEM computing major/minor

• Budget: With no budget or antecedent, innovated from scratch a globally recognized computational DH Colab research center and AI Digital Humanities. This includes no funds for hardware, software, cloud computing, support staff or other common expenses. This is achieved thru continual strategic planning, careful curation and testing fully open-source, robust, best-of-breed and/or freely available resources informed by decades of experience in industry.

Our interdisciplinary AI DH research has been published in top presses, journals, and conferences. We have also mentored hundreds of ML/AI DH projects that synthesize Artificial Intelligence with literature, history, political science, art, dance, music, law, medicine, economics and more. Various sample AI DH projects are given at the bottom of this page.

Timeline

• 1992-99: The Integrated Program for Humane Studies (IPHS, the oldest interdisciplinary program at Kenyon) established a computer lab in Timberlake House for DH scholarship under Director Michael Brint
• 2002 Jul: Katherine Elkins joined Kenyon and began mentoring traditional Digital Humanities projects (e.g. critiques of technology, websites, media, etc.) in the IPHS program
• 2003 May: Launched product Symantec Clientless VPN appliance as Director of Development and relocated from Silicon Valley
• 2005 Mar: Proposed new humanity-centered AI Digital Humanities curriculum in conjunction with a multi-million Ewing Marion Kauffman Foundation grant
• 2015 Aug: Formulated detailed interdisciplinary AI Digital Humanities curriculum after years of research and training
• 2017 Mar: Lead DH Kenyon Team at the HackOH5 Hackathon to explore challenges and opportunities in implementing computational Digital Humanities and effecting collaboration across disciplines
• 2017 Aug: Kenyon supports the first 'Programming Humanity' course co-taught with a Humanities and Comparative Literature professor.
• 2018 Aug: Kenyon adds first 'AI for the Humanities' course with a differentiated approach to GOFAI/ML through DNN, RL, and GA
• 2018 Aug: Katherine Elkins awarded a multi-year National Endowment of the Humanities Distinguished Professorship to continue developing a campus-wide Digital Humanities program to include every interested department
• 2022 Jan: Collaboration with Scientific Computing program at Kenyon mentoring several majors on interdisciplinary research
• 2022 Aug: Kenyon offers first computational 'Cultural Analytics' DH methodology course for Social Sciences and Humanities
• 2022 Aug: First collaboration with local industry via 'Industrial IoT Independent Study' targeting technical reference implementation and strategic whitepaper

Our AI research and DHColab were collaboratively developed and the curriculum is currently co-taught by a technology expert (Jon Chun) and an accomplished academic (Katherine Elkins). Both have broad experiences, publications, and interests transcending traditional domain boundaries. Support was provided with a 3-year National Endowment for the Humanities (NEH) appointment described here.

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• SentimentArcs: Github Repo
• GitHub: jon-chun
• SafeWeb: SEA Tsunami Products
• Patents: SEA Tsumani

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• AI/ML Digital Humanities Projects
• Kenyon Digital Colab
• Kenyon AI Digital Humanities

images\kenyon_dh_analytics_institutions_1958.png

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• Twitter: @jonchun2000
• LinkedIn: jonchun2000
• Instagram: jonchun2000

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Integrated Program for Humane Studies (2017-)

• IPHS200 Programming Humanity (samples below)

  • Cultural Bias/DALL-E 2: Adjectivally-Oriented: Women Through the Decades: Stylistic Shifts In Magazines As Represented By Image-Generating AI
  • Political Science/Social Media How Did Sri Lankan Protestors End Up in the President’s Pool? Understanding the evolution of an occupy-style protest: A story of economic turmoil, declining social sentiment and resulting political change
  • Gender Studies/Topic Modeling: The Second Meaning: Uncovering the Linguistic Interpretation of Simone de Beauvior’s The Second Sex
  • Literature/Multilingual Sentiment Analysis: The Trials of Translation: A Cross-Linguistic Survey of Sentiment Analysis on Franz Kafka’s Trial
  • ChatGPT/Security: Breaking ChatGPT with Dangerous Questions
  • Art Communities/DALL-E 2: Do Andriods Dream of Digital Art? Addressing the Spectrum of Perspectives on AI-Generated Artwork
  • Economics/Social Media Sentiment: How the Mighty Have Fallen: Analyzing Twitter Sentiment in the Wake of FTX Bankruptcy and Sam Bankman-Fried's Indictment
  • Literature/Spanish Sentiment Analysis: Multilingual Sentiment Analysis and Translation: Spanish and English Story Arcs in Juan Rulfo’s Pedro Páramo
  • Sociology/Social Media: Understanding Caste System in Nepal: Surfacing changes in public sentiment on Twitter over time
  • Political Science/Economics Military Expenditures and Terrorism: Assessing Correlation Between Terror Attacks and Global Military Spending
  • Literature/Sentiment Analysis Hitchhiker's Guide to Sentiment Analysis: A Comparison between Movie and Film
  • Sports Economics/Social Media: Values or Profit? An Analysis on the Impact of Legal Sports Betting on Sports Business
  • Environmental Studies/Social Media Energy Conversation on Alternative Energy World Perspective vs Bangladesh
  • Political Science/Social Media Understanding Public Opinion towards the Government of Bangladesh through Sentiment Analysis of Twitter
  • Poetry/GPT-3: The GPT3 Re-Imagining of “Howl” By Allen Ginsberg: What Are The Strengths and Weaknesses of This Representation?
  • Literature/GPT-2: 345M-GPT-2 After James Wright: Can AI Generate Convincing Contemporary Poetry?
  • Environmental Studies/Bayesian Time Series Analysis: Predicting Attitudes Toward the Environment Artificial Intelligence for the Humanities
  • Political Science/NLP Topic Modeling: Transitional Justice Terminology Analysis in United Nations General Assembly Speeches (1971-2015)
  • Literature/NLP Sentiment Analysis Doubles and Reflections: Sentiment Analysis and Vladimir Nabokov’s Pale Fire
  • Conflict Studies/Data Science Cold War Conflicts: Analyzing the Role of U.S. Arms Exports
  • Music/RNN Composition: RNN monophonic sheet music generation with LilyPond
  • Political Science/Machine LearningFreedom, Democracy, and Well-Being: A Comparative Analysis of Global Progress Indexes Using K-Means Clustering
  • Environmental Studies/Machine Learning LEED Certification Prediction with K-Means Clustering Algorithm
  • Economics/Time Series Forecasting: Computational Approaches to Predicting Cryptocurrency Prices
  • Film/NLG w/GPT-2: Digitizing Camp: Training a GPT-2 on "The Rocky Horror Picture Show"
  • Journalism/NLG 2/GPT-2: GPT-2 Journalism: Can AI produce Mike Royko’s writing?
  • Modern Language/NLP Analysis: Lost in Translation: Using Sentiment Analysis to Analyze Translations of Homer’s Odyssey
  • Music/Machine Learning Recommendation: Analyzing popular music using Spotify’s Machine Learning Audio Features
  • Political Science/Data Science: COVID-19: Global Trends in Social Protection, Unemployment, and Economic Stimuli
  • Social Sciences/NLP: Building a Universal Human Trafficking Lexicon
  • Law/NLP Topic Modeling: Topic Modeling Analysis of Supreme Court Opinions Focusing on Privacy Rights in the Context of Abortion Law
  • Philosophy/NLG w/GPT-3 Prompt Engineering: Prompt Engineering Tips for Generating Text on Cognitive Science and Philosophy of Mind
  • Political Science/Social Media NLP Sentiment Analysis: Consequences of Social Network Architecture: Analyzing Sentiment in Reddit Posts About Donald Trump
  • Film/GPT-2: https://digital.kenyon.edu/dh_iphs_prog/19/
    
    

• IPHS290 Cultural Analytics (New Fall 2022)

  • Upcoming Projects: (Intentionally vague for now)
  • Multi-Racial Identity
  • NLP Analysis of End-of-Life Medical Narratives
  • US-Latin American Geopolitical, Economic, & Military Aid and Analysis
  • Exploring Representations of Utopia in Literature over Time
  • Analysis of Economic Performance and Healthcare Quality Metrics after Private Equity Acquisitions
  • Global Supply Chain Analysis post-Covid
    
    

• IPHS300 AI for the Humanities (samples below)

  • Jewish Studies/Information Science: Taxonomy Techniques for Holocaust-Related Image Digitization and Text
  • Law: Synthetic Biology: Analyzing Trends in Intellectual Property Rights vs. Open Access to Research, 1989-2019
  • Asian-American Studies/Sentiment Analysis: The Rise of Anti-Asian American Sentiment with COVID-19
  • Gender Studies/Data Science: TikTok’s Non-Inclusive Beauty Algorithm & Why We Should Care
  • Literature/NLP Stylometrics: Analyzing the Reading Levels of Fifty Shades of Grey and The DaVinci Code: Learning More About Blockbuster Books
  • Conflict Studies/Data Science: Does U.S. Conflict Intervention Provoke Terrorism in the Middle East and North Africa?
  • Mathematics/Cryptography: Homomorphic Encryption
  • Political Science/Sentiment Analysis: Killed by Division: Sentiment Analysis Towards Juan Guaido by Venezuelan Opposition Factions Between 2019-2021
  • Social Sciences/Data Science: Reframing the ways we understand Cancel Culture: Clickbait Campaigns in The Attention Economy
  • Literature/NLP Sentiment Analysis: Five Books, Same Story: Understanding Percy Jackson through Sentiment Analysis
  • Political Science/Data Science: 2020 Election Fraud: What Can Twitter Teach Us?
  • Literature/NLP Sentiment Analysis: Jane AI-sten: What is Sentiment Analysis’s Connection to Best-Selling Literature?
    
    

• IPHS484 Senior Seminar/Research (samples below)

  • Film/ChatGPT & DALL-E2: When AI Met Screenwriting... Can AI Generate Beat Sheets and Storyboards?
  • Sociology/AI Visual Sentiment Analysis: AI reads Playboy (but not for the articles): Revealing Cover Trends with Deep Neural Networks
  • Political Science/Econometrics: An Econometric Measure of the Post-9/11 Growth of the Defense Budget: Quantifying the Military-Industrial Complex’s Growing Influence Over the Pentagon
  • Sociology/NLG with GPT-2 vs GPT-3: Black Box Karl Marx: What do large language models have to say about Das Kapital? A Comparison of GPT-2 and GPT-3 Outputs
  • Fiction Narrative/NLP Sentiment Analysis: Adapted Arcs: Sentiment Analysis and The Sorcerer’s Stone
  • Public Health/Statistical Machine Learning: Evaluating Ohio’s Opioid Overdose Epidemic with AI
  • TV Script/NLP Sentiment Analysis: Blood in the Water: Storytelling and Sentiment Analysis in ABC's Shark Tank
  • Social Media/NLG with GPT-2: GPT-2 Jomboy: Can AI produce exciting Baseball content?
  • Art/Deep Neural Networks Generative Art: An Artist's Guide to AI Art
  • Economics/Time Series Anomaly Detection: Analyzing Pump and Dump Schemes

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Integrated Program for Humane Studies (2017-)

• IPHS200 Programming Humanity
• IPHS290 Cultural Analytics
  • (New Fall 2022) Projects Upcoming
• IPHS300 AI for the Humanities (samples)
• IPHS3xx (proposed fall 2024) Interdisciplinary AI Frontiers: From Large Language Models and Autonomous Multi-Agent Networks

This upper-division course provides an in-depth exploration of advanced AI concepts, with a focus on interdisciplinary applications across large language models, AI information systems, and autonomous agents. Spanning 15 weeks, the course begins with a foundational review of Python, setting the stage for a series of four intensive, hands-on projects:
1. Programming a GPT-based chatbot using OpenAI API Function Calling
2. Exploring the internal workings of transformer models with Huggingface Transformers
3. Advanced Retrieval-Augmented Generation (RAG) techniques using LangChain
4. Multi-agent network simluations of collaborating autonomous agents using AutoGen
These four substantive subprojects will form a foundation for each student creating an original final project based upon their interests and domains of expertise, offering opportunities to apply theoretical knowledge to practical, real-world AI challenges. This course is meticulously designed to equip students with the skills and knowledge essential for innovation in the fast-paced world of artificial intelligence, placing a strong emphasis on both technical proficiency and ethical considerations. Prerequisite: Introductory Python programming experience (IPHS200, IPHS300, COMP118 or approval of instructor).

• IPHS494 Senior Seminar Research Projects
• IPHS Independent Study Research

Scientific Computing (2020-)

• SciComp Senior Seminar/Research
  • Noisy Time Series Filtering, Smoothing and Feature Detection
  • Narrative Metrics for NLG using LLM Transformers
  • Diachronic Sentiment Analysis Central Bank Speeches using SentimentArcs
• SciComp Independent Study
  • Industrial Revolution 4.0: End-to-End Industrial IoT Preventative Maintenance

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• The Helix Center, NY, NY
  • Executive Committee (2022-)
  • Round-Table: Living in Difficult Times, Nov 19, 2022
  • About: The original inspiration for interdisciplinary forums arose from the observations by our director, Dr. Edward Nersessian, of the constraints in both communication and creativity among scientists at professional meetings, fueled both by narrow specialization and the grant process, that with its demand for sharply defined investigation seemed, in fact, to be limiting curiosity and inquiry. This motivated him to form discussion groups drawing on multiple disciplines, the creative productivity of which inspired the formation of the Philoctetes Center for the Multidisciplinary Study of the Imagination.
  • Mission: The primary mission of The Helix Center is to draw together leaders from distinct spheres of knowledge in the arts, humanities, sciences, and technology for interdisciplinary roundtables, the unique format of which potentiates new ideas, new questions, and facilitates emergent creative qualities of mind less possible in conventional collaborations. Such a drawing together of leaders of various disciplines irrespective of their academic affiliation allows the Helix Center to function as a kind of university without walls. In addition, through audience attendance and its Q&A engagement with the roundtable participants, and live streamed and archived events, we aim to expand public understanding and appreciation of the sciences and technology, the arts and humanities.

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