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Full-Text Articles in Entire DC Network
Multi-Agent Framework For Digital Marketing Optimization, Samyak Shrestha, Jon Chun
Multi-Agent Framework For Digital Marketing Optimization, Samyak Shrestha, Jon Chun
IPHS 391: Interdisciplinary AI Frontiers
This project presents a multi-agent framework designed to help marketers quickly create, test, and understand digital marketing campaigns. By combining state-of-the-art language models, automated content generation, simulated audience feedback through personas, and organized data analysis, this framework aims to save time, reduce guesswork, and offer clear insights. The result is a more efficient way for marketers to improve their campaigns and reach the right audience.
Ai Virtual Assistant For Student Disability Services: Implementing Rag-Enhanced Chatbots In Higher Education Support, Hannah Sussman, Jon Chun
Ai Virtual Assistant For Student Disability Services: Implementing Rag-Enhanced Chatbots In Higher Education Support, Hannah Sussman, Jon Chun
IPHS 391: Interdisciplinary AI Frontiers
When students with disabilities enter the college arena they lose many of the resources that supported them throughout high school, and suddenly are responsible for advocating for their needs and rights themselves. For some, this is an easy transition, but for most the sudden shift in setting, expectations, and responsibilities leaves them unprepared to transition smoothly into college life. A chatbot with sufficient institutional data and information about disabilities and accommodations could help college students with disabilities by providing immediate and personalized guidance throughout their college experience. The proposed accessibility support system implements a hybrid architecture combining a Retrieval-Augmented Generation …
Ai-Powered Appointment Prioritization System For Resource-Poor Settings, Ayman Wadud
Ai-Powered Appointment Prioritization System For Resource-Poor Settings, Ayman Wadud
IPHS 391: Interdisciplinary AI Frontiers
This project presents an AI-driven multi-agent system for managing and prioritizing patient appointments in a physician's chamber in a resource-poor setting. By employing a multi-agent architecture and a vector database, the system dynamically adapts to real-time events like patient check-ins, and supports the manual reordering of appointments. Built using Python, LangChain, and the ChromaDB vector database, the system can be accessed via a simple UI on Streamlit. The objective is to enhance patient flow, reduce wait times, and provide an adaptive and efficient appointment system in a Bangladeshi clinical setting.
Ancient Greek Parsing With Ai: Unpacking Complex Word Composition With Agentic Systems, Braeden Singleton, Jon Chun, Katherine Elkins
Ancient Greek Parsing With Ai: Unpacking Complex Word Composition With Agentic Systems, Braeden Singleton, Jon Chun, Katherine Elkins
IPHS 391: Interdisciplinary AI Frontiers
This proof of concept shows that an agentic AI system, with the aid of grammatical rules and dictionaries, can effectively identify the form and definition of an Ancient Greek word, a task which current unassisted systems like ChatGPT tend to struggle with.
The Evolution Of The Translations Of Virgil’S “The Aeneid”: An Analytical Comparison Of Robert Faglesand John Dryden's Translations Using Sentiment Analysis And Topic Modeling, Eric Zhang, Katherine Elkins
The Evolution Of The Translations Of Virgil’S “The Aeneid”: An Analytical Comparison Of Robert Faglesand John Dryden's Translations Using Sentiment Analysis And Topic Modeling, Eric Zhang, Katherine Elkins
IPHS 200: Programming Humanity
This research poster aims to explore two English translations of the ancient Roman epic “The Aeneid” written by the poet Virgil. The two versions that were chosen for analysis are John Dryden’s translation from 1697 compared with Robert Fagles’ translation from 2006. This poster seeks to use sentiment analysis and word frequency analysis tools to analytically compare the two versions of the epic. From the results, the older translation appeared to use more formal wording and “dramatic” storytelling structures compared to a more “accurate” rendition of the epic translated using modern language. The sentiment analysis result also demonstrates greater sentiment …
Ai On The Air: Analyzing Ai Sentiment In Us News Reporting, Gwen Eisenbeis, Katherine Elkins
Ai On The Air: Analyzing Ai Sentiment In Us News Reporting, Gwen Eisenbeis, Katherine Elkins
IPHS 200: Programming Humanity
This project examines sentiment surrounding mentions of artificial intelligence within news broadcasts of the three most prominent American news channels: FOX, CNN, and CNBC. Sentiment analysis was conducted on closed captioning data from news clips that mentioned “artificial intelligence” for each of the news channels from 2012 to 2024. This project seeks to evaluate sentiment as mentions of artificial intelligence increase and compare the respective sentiment for each news channel. While clear sentiment differences from the beginning of the time period to the end could not be determined, there was a difference in the overall sentiment trends for each news …
What Makes An Emotionally Compelling Novel? A Sentiment Analysis Of Science Fiction Novels 1984 And We, Annalia Fiore, Katherine Elkins
What Makes An Emotionally Compelling Novel? A Sentiment Analysis Of Science Fiction Novels 1984 And We, Annalia Fiore, Katherine Elkins
IPHS 200: Programming Humanity
The purpose of this project is to compare the Soviet novel We by Yevgeny Zamyatin (1924) to the English novel 1984 by George Orwell (1949). Many have previously drawn comparisons between the two works, but the focus of this research is to find dissimilarities in their respective emotional arcs using sentiment analysis, a computational tool used for processing large bodies of text. The findings of this research were twofold. Firstly, the novel We suffers from an undeveloped emotional arc due to a weak narrative voice and a lack of emotionally varied events. This is especially notable when compared to 1984, …
Optimizing Mlb Roster Selection With Moneyball Ai Scouting Agents: Using High Fidelity Synthetic Data To Optimize Team Performance, Parker Gibbons, Jon Chun
Optimizing Mlb Roster Selection With Moneyball Ai Scouting Agents: Using High Fidelity Synthetic Data To Optimize Team Performance, Parker Gibbons, Jon Chun
IPHS 391: Interdisciplinary AI Frontiers
This project utilizes artificial intelligence Agents to generate high-fidelity synthetic data for Major League Baseball hitters and their statistics over a single 162 game season. The AI evaluates each player based on a five-tool scale, comparing their abilities to one another. Finally, optimization techniques are applied to select an optimal set of thirteen hitters (half of a full MLB roster of twenty-six players), maximizing overall performance while adhering to a specified salary cap. The operating hypothesis is that artificial intelligence can effectively generate high-fidelity synthetic data for baseball hitters and evaluate player performance based on a five-tool scale, given a …
Pitchai: Streamlining Investment Banking Pitches Using Llms, Dillon Cleary
Pitchai: Streamlining Investment Banking Pitches Using Llms, Dillon Cleary
IPHS 391: Interdisciplinary AI Frontiers
Investment banking professionals spend significant time and effort creating client-facing pitch materials, synthesizing large volumes of financial data, and crafting compelling narratives. This project proposes a novel pipeline that leverages large language models (LLMs) and synthetic data generation to streamline and automate the creation of investment banking pitch documents. By drawing on publicly available filings and investor materials of comparable companies, the system generates high-quality, anonymized financial datasets and seamlessly transforms them into investor-ready deliverables—such as valuation ranges and pitch deck materials The result is a more efficient, consistent, and secure approach to preparing client presentations, freeing bankers to focus …
Can Ai Bridge The Aisle? Decoding The 118th Congress Through Artificial Intelligence Legislation, Fiona Hendryx, Katherine Elkins
Can Ai Bridge The Aisle? Decoding The 118th Congress Through Artificial Intelligence Legislation, Fiona Hendryx, Katherine Elkins
IPHS 200: Programming Humanity
The rise of AI’s influence in American life has concerned both the public and the United States Congress. Focusing on the 118th Congress, I identified 365 proposed AI-related bills, only four of which (1.09%) were ultimately passed. Using a combination of natural language processing, topic modeling, and data analysis tools, I investigated why, despite broad bipartisan public and Congressional support, Congress did not pass more AI-related legislation. Amidst shrinking party majority margins and rising polarization among the electorate and elites, the success of AI-related legislative action relies less on popularity and more on party affiliation and control.
Do Autism Diagnostic Narratives Have A Shape? Using Sentiment Analysis To Evaluate Autism Late Diagnosis Narratives And Ai’S Attitude Towards Disability-Related Keywords, Nava Bahrampour, Katherine Elkins, Jon Chun
Do Autism Diagnostic Narratives Have A Shape? Using Sentiment Analysis To Evaluate Autism Late Diagnosis Narratives And Ai’S Attitude Towards Disability-Related Keywords, Nava Bahrampour, Katherine Elkins, Jon Chun
IPHS 200: Programming Humanity
Do autism diagnostic self-narratives have something in common? The meaning of diagnostic labels is a culturally relevant topic in 2024, and I am curious to know if there are similarities in self-narratives about autism diagnosis. We are at an interesting moment in regards to our attitudes about autism and disability, where diagnostic labels like autism are usually viewed as either a tragedy or a relief. I wanted to look at three recent autism diagnostic self-narratives from late-diagnosed women to confirm or refute the existence of a specific type of “narrative” around diagnosis. I was additionally interested in how artificial intelligence …
Sentiment Analysis Of Harry Potter: Exploring Ai Versus Human Interpretation, Xander Newman, Katherine Elkins
Sentiment Analysis Of Harry Potter: Exploring Ai Versus Human Interpretation, Xander Newman, Katherine Elkins
IPHS 200: Programming Humanity
The project starts by examining whether a smaller window size of 5% allows the algorithm to determine cruxes and their sentiment more accurately than the standard 10% window size, using the passages identified by the crux report to assist me. I find that the smaller window size seems to be more accurate for the most part, but this is not always the case. Moreover, regardless of window size, the algorithm struggled with definitively assessing ambivalent sentiment, much like how a reader has their own interpretation of emotionally charged moments. Moreover, using the results of the 5% and 10% window size …
Journey To The West: A Sentiment Analysis Exploration, Ava Yu, Katherine Elkins
Journey To The West: A Sentiment Analysis Exploration, Ava Yu, Katherine Elkins
IPHS 200: Programming Humanity
Journey to the Westis one of the most influential literary works to come out of the East. Set in Tang-era China, the book is a religious allegory following a Buddhist monk and his supernatural disciples who make a pilgrimage from China to India. The chaptered format of the story lends itself to a very episodic approach to conflict & resolution in the story. The text also has a myriad of different influences; it heavily draws inspiration from Buddhist folklore, Confucianist tradition, and Daoist ideology, which were the reigning schools of thought in 16th-century imperial China(the time period in which this …
Human-Chatbot Interaction Patterns: A Topic Modeling Analysis Of 3,275 Conversations With Chatgpt, Hannah Sussman
Human-Chatbot Interaction Patterns: A Topic Modeling Analysis Of 3,275 Conversations With Chatgpt, Hannah Sussman
IPHS 200: Programming Humanity
This research presents a topic modeling analysis of the WILDCHAT-FULL dataset, examining user interactions with ChatGPT across over one million conversations. The study focused specifically on extended conversations (five or more exchanges) between U.S.-based users and ChatGPT in English. Using Latent Dirichlet Allocation (LDA), I identified 50 distinct conversational topics with coherence scores ranging from -1.5 to -14.92 (mean: -4.47). The analysis revealed diverse interaction patterns spanning creative writing, jailbreaking (attempting to get ChatGPT to do something against its guidelines), technical discussions, business applications, and educational queries. A particularly striking finding was that creative writing and role-play scenarios dominated the …
Park Inequality In Miami: How Income And Population Density Shape Access To Green Spaces, Andre Mccloud, Katherine Elkins
Park Inequality In Miami: How Income And Population Density Shape Access To Green Spaces, Andre Mccloud, Katherine Elkins
IPHS 200: Programming Humanity
This data analytics project explores the relationships between park distribution, income levels, and population in Miami, Florida. Data were collected from multiple sources, including the U.S. Census Bureau, Miami-Dade GIS, and other public databases. The data were then visualized using Tableau to identify trends and patterns related to parks. The visualizations revealed that low-income areas have fewer overall parks, a significant number of “mini parks,” and are underserved relative to their population density. The findings of this project highlight inequalities in park allocation and call for policymakers to leverage this information to create equity-driven investments in low-income, high-density communities, ensuring …
Intertextual Sentiments In Ulysses And The Odyssey, Aidan Jordan, Katherine Elkins
Intertextual Sentiments In Ulysses And The Odyssey, Aidan Jordan, Katherine Elkins
IPHS 200: Programming Humanity
James Joyce’s masterpiece novel Ulysses is a text built upon its relationship to other texts. The very title is a reference to the Greek hero Odysseus and the epic poem that contains his story. The form of Ulyssesrelies heavily on the structure of the Odyssey for its movement. With chapters taking key events from the Odyssey as inspiration for their themes, characters, and events. One chapter for example is based on the episode where Odysseus travels into the underworld and Joyce’s stand-in character Bloom goes to a funeral. These structural and tonal suggestions have lead me to ask if this …
Instagram's 2025 Terms Of Service: The Evolution Of Surveillance Capitalism And Ai Training Data, Marisol Hernandez Brito, Katherine Elkins
Instagram's 2025 Terms Of Service: The Evolution Of Surveillance Capitalism And Ai Training Data, Marisol Hernandez Brito, Katherine Elkins
IPHS 200: Programming Humanity
This research examines how social media platforms like Instagram’s 2025 Terms of Services (TOS) updates reflect the increasing demand for AI training data, illustrating the critical concerns about user privacy and data rights. Technology companies like Meta progressively require vast amounts of user-generated content to develop competitive AI systems to generate financial gain. Forming their data collection practices has led to their updated terms and services. In particular, their expanded AI training rights and modified dispute resolution procedures reveal the complex tension between technological advancement and user privacy. AI training data raises urgent questions about consent, ownership, and the commodification …
The Ethics Of Pitch Correction: How Technology Is Changing Musical Expression, Rachel Ferrara, Katherine Elkins
The Ethics Of Pitch Correction: How Technology Is Changing Musical Expression, Rachel Ferrara, Katherine Elkins
IPHS 200: Programming Humanity
The music industry has undoubtedly undergone fundamental changes since the invention of pitch correction technology, and audiences' many long-established views of "authenticity" are now being questioned. In this study, I quantitatively assess pitch correction technology's ethical and cultural implications for artist performance, public perception, industry popularity standards, and authenticity using open-source data from Spotify and Chart Masters.
Unraveling The March Sisters: A Digital Network Analysis Of Little Women's Evolving Bonds, Jessica Daugherty, Katherine Elkins
Unraveling The March Sisters: A Digital Network Analysis Of Little Women's Evolving Bonds, Jessica Daugherty, Katherine Elkins
IPHS 200: Programming Humanity
Little Women is one of the most female-focused novels of the 19th century. The book, being so popular, inspired numerous film and television adaptations. The three most recognized film adaptations are: 1933 directed by George Cukor, 1994 directed by Gillian Armstrong, and 2019 directed by Greta Gerwig. This project aims to analyze and compare the social networks in these three adaptations to assess how genuinely female-centric the films are. I am curious to see if there have been any changes in the social networks and if they have evolved in response to cultural context. Using AI for coding assistance and …
Leveraging Ai To Manage Your Money Better: How Financial Advisors Can Use Ai To Provide Better Service, Lewis Cropper, Katherine Elkins
Leveraging Ai To Manage Your Money Better: How Financial Advisors Can Use Ai To Provide Better Service, Lewis Cropper, Katherine Elkins
IPHS 200: Programming Humanity
A financial advisor is someone who works with clients to build a comprehensive plan for what they should do with their money. The best financial advisors are the ones that clients can trust when they’re going through major life changes, because money is very personal and emotional. With this being said, the wealth management industry is currently going through a major disruption with the rise in generative artificial intelligence. More and more financial institutions are integrating artificial intelligence into their business, whether it be through new planning software, enhanced fraud detection, marketing automation, or even robo advisors. The focus of …
Narrative Structures In American History: Using Sentiment Analysis To Identify Trends In Historiography, Maisie Jane Brigham, Katherine Elkins
Narrative Structures In American History: Using Sentiment Analysis To Identify Trends In Historiography, Maisie Jane Brigham, Katherine Elkins
IPHS 200: Programming Humanity
This study uses sentiment analysis technology to examine six seminal comprehensive texts on American history. The texts range in publication dates from 1835 to 2018 and include notable authors such as the notorious Howard Zinn and former U.S. President Woodrow Wilson. Sentiment analysis creates quantitative data based on literature that rates each sentence on a sentiment scale that identifies the level of emotional intensity or neutrality, as well as if it is positive or negative emotional intensity. By using this technology, the study aims to identify and compare the story arcs and crux points of the six books, as well …
Kenyon Collegian - September 26, 2024
Kenyon Collegian - September 19, 2024
Kenyon Collegian - September 12, 2024
Exhibition Catalog: Wu Shaoxiang In Europe (1988-1993), Shao-Xiang Wu 吴少湘
Exhibition Catalog: Wu Shaoxiang In Europe (1988-1993), Shao-Xiang Wu 吴少湘
Zhou Documents
This exhibition catalog, titled "WU SHAOXIANG in Europe 1988-1993", was published by the Austrian Art Association in Austria in April 1993. It consisted of a foreword, a preface, critiques about the artist's works, an artist's biography, and photos of sculptures and paintings created by the artist while he was in Europe from 1988 to 1993. (Yifan Shang '25)
Kenyon Collegian - September 5, 2024
Publication Document: "Chen Danqing: Painting After Tiananmen", Dan-Qing Chen 陈丹青
Publication Document: "Chen Danqing: Painting After Tiananmen", Dan-Qing Chen 陈丹青
Zhou Documents
This is an English announcement by the Department of Comparative Literature, the University of Hong Kong on the publication of the gallery catalog "Chen Danqing: Painting after Tiananmen", edited by Ackbar Abbas. It provides a brief introduction of this catalog and several works by the artist are printed in back-and-white. (Yifan Shang '25)
German Magazine Report On The "12 Square Meters", Huan Zhang 張洹
German Magazine Report On The "12 Square Meters", Huan Zhang 張洹
Zhou Documents
This report introduces the situation of contemporary Chinese art in China in the early 1990s. Works like Zhang Huan's "12 Square Meters" are used as examples of Chinese performance art. (Yifan Shang '25)
Essay: German Report On 65kg, Huan Zhang 張洹
Essay: German Report On 65kg, Huan Zhang 張洹
Zhou Documents
This German essay reviews Zhang Huan's actions "25mm Diameter Rebar", "65 kg" and "12 Square Meters" and discusses the status quo of Action Art in China. A photo of the artist with the photo of his work "65 kg" its attached. (Yifan Shang '25)
Essay: Is Action Art An Action Or Art? 论文：行为艺术是行为还是艺术？, Huan Zhang 張洹
Essay: Is Action Art An Action Or Art? 论文：行为艺术是行为还是艺术？, Huan Zhang 張洹
Zhou Documents
This essay, titled "Is Action Art an Action or Art?", discusses how action art should be a form of art first, rather than being a form of pure action. Zhang Huan's work "65 kg" is used as an example to reflect the social impact of action arts. The writer emphasizes the importance of having cultural or artistic implication in a work, rather being a pure series of action. (Yifan Shang '25)