Dissertations/Theses/Capstones from 2024
Trends and Predictors of Internet Use for Health-Related Purposes Among Adults in the United States of America, Paul Ayamah
Assessing Job Vulnerability and Employment Growth in the Era of Large Language Models (LLMs), Prudence P. Brou
The Charge Forward: An Assessment of Electric Vehicle Charging Infrastructure in New York City, Christopher S. Cali
Clustering of Patients with Heart Disease, Mukadder Cinar
Modeling of COVID-19 Clinical Outcomes in Mexico: An Analysis of Demographic, Clinical, and Chronic Disease Factors, Livia Clarete
Who Are You Rooting For? T20 Cricket World Cup 2024, USA & WI, Purvesh Desai
The Complete Sight and Sound Greatest Films of All Time Database, Katie Donia
K-12 School Shootings: A Visualization Throughout History, Elizabeth T. Garrison
Wrapped Insights: A Data-Driven Approach to Personalizing User Experiences in a Digital Tipping Platform, Hamza Habeeb
The Efficacy of Using Machine Learning Techniques for Identifying and Classifying “Fake News”, Muhammad Islam
Invisible Hand of Socioeconomic Factors in Rising Trend of Maternal Mortality Rates in the U.S., Disha Kanada
Advanced Predictive Analytics on Financial Donations to Nonprofit Organizations, Fhamida Keya
What Does One Billion Dollars Look Like?: Visualizing Extreme Wealth, William Mahoney Luckman
Making Sense of Making Parole in New York, Alexandra McGlinchy
Employment Outcomes in Higher Education, Yunxia Wei
Dissertations/Theses/Capstones from 2023
Phantom Shootings, Allan Ambris
Naming Venus: An Exploration of Goddesses, Heroines, and Famous Women, Kavya Beheraj
Social Impacts of Robotics on the Labor and Employment Market, Kelvin Espinal
Fighting the Invisibility of Domestic Violence, Yesenny Fernandez
Navigating Through World’s Military Spending Data with Scroll-Event Driven Visualization, Hong Beom Hur
Evocative Visualization of Void and Fluidity, Tomiko Karino
Analyzing Relationships with Machine Learning, Oscar Ko
Analyzing ‘Fight the Power’ Part 1: Music and Longevity Across Evolving Marketing Eras, Shokolatte Tachikawa
Stand-up Comedy Visualized, Berna Yenidogan
Dissertations/Theses/Capstones from 2022
El Ritmo del Westside: Exploring the Musical Landscape of San Antonio’s Historic Westside, Valeria Alderete
A Comparison of Machine Learning Techniques for Validating Students’ Proficiency in Mathematics, Alexander Avdeev
A Machine Learning Approach to Predicting the Onset of Type II Diabetes in a Sample of Pima Indian Women, Meriem Benarbia
Disrepair, Displacement and Distress: Finding Housing Stories Through Data Visualizations, Jennifer Cheng
Blockchain: Key Principles, Nadezda Chikurova
Data for Power: A Visual Tool for Organizing Unions, Shay Culpepper
Happiness From a Different Perspective, Suparna Das
Happiness and Policy Implications: A Sociological View, Sarah M. Kahl
Heating Fire Incidents in New York City, Merissa K. Lissade
NYC vs. Covid-19: The Human and Financial Resources Deployed to Fight the Most Expensive Health Emergency in History in NYC during the Year 2020, Elmer A. Maldonado Ramirez
Slices of the Big Apple: A Visual Explanation and Analysis of the New York City Budget, Joanne Ramadani
The Value of NFTs, Angelina Tham
Air Pollution, Climate Change, and Our Health, Kathia Vargas Feliz
Peru's Fishmeal Industry: Its Societal and Environmental Impact, Angel Vizurraga
Why, New York City? Gauging the Quality of Life Through the Thoughts of Tweeters, Sheryl Williams
Dissertations/Theses/Capstones from 2021
Data Analysis and Visualization to Dismantle Gender Discrimination in the Field of Technology, Quinn Bolewicki
Remaking Cinema: Black Hollywood Films, Filmmakers, and Finances, Kiana A. Carrington
Detecting Stance on Covid-19 Vaccine in a Polarized Media, Rodica Ceslov
Dota 2 Hero Selection Analysis, Zhan Gong
An Analysis of Machine Learning Techniques for Economic Recession Prediction, Sheridan Kamal
Black Women in Romance, Vianny C. Lugo Aracena
Making Space for Unquantifiable Data: Hand-drawn Data Visualization, Eva Sibinga
Who Pays? New York State Political Donor Matching with Machine Learning, Annalisa Wilde