Fall 2022 Data Science Discovery Showcase
December 6th 1 - 4:30 PM in Sibley Auditorium
Check out more than 80 Data Science Discovery Projects.
Fall 2022 Discovery Award Winners
Quantifying the Commons
Data Science Insights Award Winner
Dun-Ming Huang and Shuran Yang
Quantifying Snow Sublimation Changes Post-Wildfire
Data Science Insights Award Winner Runner Up
Eugenia Poon and Sadhika Akula
Ten Strands/ CAELI Data Project
Data Visualization Award Winner
Arjun Banerjee, Dylan Nguyen, Luke Chang, and Ricardo Yin
Applied Materials: Advanced Methods of Time Series Data Analysis
Data Visualization Award Runner Up
Jiayin Guo, Ronit Nagarapu, Yuen Chen, and Sophie Cui
IBM: Impact of Climate Change on Mangrove Forests
Team Collaboration Award Winner
Catherine Wang, Grant Wagner, Isha Arora, Lori Khashaki, Michelle Cheung, and Srihita Kariveda
Building Machine Learning Models for Arctic Climate Restoration
Team Collaboration Award Runner Up
Jerry Jia, Qingyi Fang, and Zoe Zhou
Earthquake Ground-Motion Simulations on the Calaveras-Hayward Fault System
Cloud Computing / HPC Application Award Winner
Allison Wong, Joshua Richland, and Taka’aki Taira
B612 ADAM Project
Ribbon of Excellence
Mallory Helfenbein, Ethan Yoo, and Tanay Bhadra
DS@BART: Auto Malfunction Detection Of Air Conditioner In Train Control Room
Ribbon of Excellence Runner Up
Justin Chan, Floyd Fang, Eeshan Sumanth, William Fei, and Steven Yuan
This Semester’s Partners
Program Requirements
The program offers variable units on a P/NP basis.
In order to receive a passing grade:
1. Students are only allowed to participate in 1 Discovery project per semester.
2. Students are expected to commit 6 - 12 hours per week to their research project (the exact time commitment expected should be confirmed with the project partner). 1 unit of academic credit is available for every 3 hours of work per week. Students will be enrolled in a DATA 198 course for units when they join a project.
3. All student teams are required to submit a Mid-Term Progress Report (this will be sent to you as a Google Form to fill out) and a Final Presentation during RRR week.
Have any questions?
Email us at ds-discovery@berkeley.edu.