Amid hybrid classes, weekly COVID-19 testing and masking rules, CITP's undergrads persisted, completing their courses and final projects to earn their certificates in Technology and Society, with an Information Technology focus. Their names, home towns, concentrations at Princeton, and project topics, are below. Congratulations Class of 2022. Well done!
Jeremy Bernius, Statham, Ga., School of Public and International Affairs
Bernius studied the racial bias and unfairness of algorithmic risk assessment instruments used in sentencing.
Marina Beshai, Severn, Md, Computer Science
Beshai studied the impact of Twitter on the 2011 Egyptian Revolution.
Justin L. Curl, Santa Monica, Calif., Computer Science
Curl developed bots to study the impact of user behavior on advertisement distribution on YouTube.
Audrey Laude, Short Hills, N.J., Computer Science
Laude studied performance decay in machine learning models across the realms of policing, epidemic, and financial forecasting.
Yu Jeong Lee, Seoul, South Korea, Economics
Lee studied the impact of Airbnb's dynamic pricing algorithm on the affordable housing shortage in New York City.
Yana Mihova Singapore, School of Public and International Affairs
Mihova studied the influence that the ideology of one’s news source consumption has on their likelihood to endorse COVID-19 misinformation.
Lindsey Moore, Charlotte, N.C., Computer Science
Moore analyzed the differences between female students who chose to stay in an engineering major and those who chose to switch out to determine appropriate interventions for retaining female engineering students at Princeton University.
Sara Sacks, Los Angeles, Calif., School of Public Policy and International Affairs
Sacks studied the disparities in access to assisted reproductive technologies in the United States and analyzed the limitations and benefits of proposed policies in addressing these disparities.
Losang Tara Shawa, Princeton, N.J., Sociology
Shawa’s thesis examined the representation of gender in videos on the YouTube Kids site and its reinforcement through the platform's recommendation system.
Rachel Sylwester, Livermore, Calif., Computer Science
Sylwester investigated bias in mortgage lending with a specific focus on algorithmic fairness intervention in automated underwriting systems.
Henry Vecchione, Montclair, N.J., Computer Science
Vecchione studied the efficacy of legislation governing police use of surveillance technology by looking at police partnerships with the video doorbell manufacturer Ring.
Jacqueline Xu, New York, N.Y., Operations Research and Financial Engineering
Xu’s thesis incorporated mathematical modeling of behavioral cascades to identify how habits spread across social networks.
Melody Yi Ting Zheng, Oakland, Calif., Computer Science
Zheng studied the digital access initiatives of different cities to identify a policy that Oakland, California can potentially adopt to increase the rate of Internet and computer access for under-served populations.