Independent Work Seminars

Juniors and Seniors in the Department of Computer Science have the opportunity to take an Independent Work Seminar in Tech Policy. In this seminar students get to work on crafting concrete policy responses to challenges posed by emerging computer and network technologies.

Please click here for more information about the fall 2021 COS IW 05: Technology Policy.


Independent Work

  • Justin Curl, Please Pay Attention: Reverse-Engineering YouTube’s Ad Algorithm to Analyze the Presentation of Unwanted Information
  • Melody Zheng, Analyzing the Digital Divide: A Quantitative and Qualitative Study of Six United States Cities
  • Michael Man, BotSpot, A Deep Learning Approach to Reddit Bot Identification
  • Ryan Yao, Safeguarding Consumer Privacy: Analysis of Data Obfuscation Mechanisms to Prevent Ubiquitous Network Tracking
  • Scott Aravena, A Jury of One’s Peers: Ensuring the Fair Cross-Section Guarantee in Criminal Trials
  • Zaynab Masood, The Effects of Digital Accessibility on Healthcare Sites
  • Greg Weaving, Regulating Algorithmic Unfairness in Medical Machine Learning
  • Yael Stochel, Corroding Communities:Quantifying the Loss of Local News and the Rise of Disinformation
  • Pang Nganthavee, Using Clustering to Analyze the Correlation between Product Naming and Buyers’ Decision-Making
  • Henry Vecchione, Pan-app-ticon: What to Do About Ring’s Partnerships with Police Departments
  • Daniel Wey, Verifying Harms in Machine Learning Hiring Tools: Recommendations for NYC Council’s Int. 1894
  • Sara Dardik, COVID-19 Vaccine Distribution Plans

Senior Thesis

  • Jordan, Heinzel-Nelson, Using Computer Vision and Machine Learning to Analyze Satellite Imagery to Understand Food Insecurity in Sub-Saharan Africa, 2021
  • Vedika Patwari,  Evaluating the Impact of Data Localization on Technological Innovation in India, 2021


Independent Work

  • Bevin Benson, Google’s Health, Consumer Health, or Both? Evaluating the Antitrust Implications of Google’s Acquisition of Fitbit
  • Emre Cakir, The Threat of Racial Biases in Facial Recognition Technology Use by Law Enforcement
  • Justin Chang, The Role of International Consensus in Cyberattack Attribution
  • Zyanne Clay-Hubbard, A Review of the Rise in Innovative Technologies in the U.S. Foster Care System
  • Michael Hallee, Protecting the Retail Investor: Evaluating the SEC’s Proposed Rule on “Market Data Infrastructure”
  • Edward Garnter, Protecting Against Cyberattacks on the Electric Grid
  • Andrew Griffin, Analysis of Potential Regulatory Frameworks for Artificial Intelligence in the Healthcare Industry
  • Jordan Heinzel-Nelson, Regulating Facial Recognition Technology to Mitigate Racial Bias
  • Joseph Kim, An Evaluation of Facial Recognition Usage in Public Transportation
  • Rachel Lee, Data Collection and Fairness in Insurance Apps
  • Austin Mejia, Lucky Break: Regulating Loot Boxes in the Games Industry
  • Jamison Mercurio, Facial Recognition in Public Safety Applications
  • Jamison Mercurio, Comments to the FDA on Patient Decision Support Software
  • Morlan Osgood, Measuring the Impact of Social Media Features on Mental Health
  • Jacob Schachner, Libra, a Solution to a Policy Nightmare?
  • Sten Sjoberg, Nailing Down Pseudonymization
  • Tyler Skow, Lessons Learned from New York and Vermont and the Role of Future Task Forces in Regulation Automated Decision Systems
  • Noah Weiss, Encryption Policy with the Advent of Quantum Cryptography

Senior Theses