At The University Of California, Santa Cruz
CSE 146 Virtual Poster Day Winter 2020
CSE 146, Ethics & Algorithms, is a course in which students learn about automated systems through an ethical framework, focusing on topics such as bias, interpretability, causality and privacy. Throughout the quarter, in groups of three students have worked on a project related to course topics. Below is a list of all the projets, along with videos describing them, and their virtual poster.
Projects
| Apparently the World is Mostly White Men (Poster and Video) by Cyrus Karsan, Clarence Ng and Nicholas Shekelle (Funniest Video) |
| Affirmative Action (Poster and Video) by Nathaniel Chang, Joshua Cheung and Theresa Tan |
| Analyzing Recidivism Prediction (Poster and Video) by Clifton Dixon-Ferrell, Elijah Pandolfo and Alexandra Varelijan (1st Place Best Project, Best Report) |
| Automation and Employment (Poster and Video) by Kevin Nelson, Dominik Shmidt and Joseph Zanini |
| Tesla Autonomous Vehicle Safety (Poster and Video) by Kaleen Shrestha, Andrew Thach and Alexander Weiner (2nd Place Best Project) |
| Recidivism and Fairness (Poster and Video) by Ryan Sun, Huanlei Wu and Andi Zhao |
| Recognizing Race (Poster and Video) by Varun Balusu, Jonathan Lam and Daniel Luft-Martinez |
| Gaydar (Poster and Video) by Sean Gibson, Ashley Lavizadeh and Samuel Walcoff |
| Machine Learning with ESports (Poster and Video) by Marlon Gregorio, Kyohei Ikeda and Mingrui Zhao |
| Making Recidivism Predictions More Fair (Poster and Video) by Dexin Jin and Matthew Klein |
| Metastatic Tissue Classification (Poster and Video) by Darren Eam, Pavithra Nagarajan and Evan Suther (3rd Place Best Project) |
| Predicting World Happiness (Poster and Video) by Maximilian Grieser, Bryan Lopez and Matthew Oey (Best Video) |
| Wage Inequality (Poster and Video) by Hyun Min Lee and Raymond Lee |
| Fair SAT Prediction (Poster and Video) by Kyle Oda, Tianyi Tang and Bryan Tor |
| Ethical Concerns About the Implementation of Self-Driving Cars (Poster and Video) by Calvin Hong and Conor Howell |
| Facial Recognition in AI (Poster and Video) by Sanjana Natraj, Soumya Poolla and Nikitha Sreekant |
| The Patriot Score (Poster and Video) by Alexandra Luther, Abirami Patchaiyappan and James Taliaferro (Most Creative Analysis) |
| Societal Concerns in Student Success (Poster and Video) by Yugyung Juny, Jesse Lee and Jeffrey Wu |
| Student Alcoholism and their Academic Success (Poster and Video) by Kayla Bower, Joseph Csosti and Zainub Sheikh |
| How much student data should a school have access to? (Poster and Video) by Sriya Lingampalli, Katarina Springer and Prescott White |
| Predicting Student Performance (Poster and Video) by Woo Hyuk Chang, Timothy Le and Justin Leung |
| Suicidal AI (Poster and Video) by Alex Bistange, Spencer Gurley and Dustin Seltz (Most Creative Analysis) |
| Suicide Rates Across the World (Poster and Video) by Brian Andrus, Michael Ma and Joshua Ethan Perez |
| Income Prediction Bias (Poster and Video) by Radhika Gathwala, Rohan Krishnaswamy and Kartik Panchal (Best Video) |
| An Analysis of Stop-and-Frisk Policies and Their Effects (Poster and Video) by Corey Chan, Shant Narkizian and Dagmawi Demess |
| Linear Regression: Calculating Income Inequality in New York (Poster and Video) by Ashkay Kaseebhotla, Andrew Lyle and Strother Woog |
| An Analysis of Twitter's Trending Topics in Comparison to Top News Headlines (Poster and Video) by Zion Isaiah Calvo, Surya Keswani and Donald Stewart |
| FEFM: Federal Education Funding Model (Poster and Video) by Muhammad Abdurrohman, Fahed Abudayyeh and Suleyman Saib |