It's that time of the semester when we get a chance to show off our students' amazing work helping to design courses, explore the human and social contexts and ethics of data, and advance data science research projects.
Watch the Showcase
Spring 2020 Showcase Events
Welcome
2:00 PM - 2:05 PM
Jennifer Chayes, Associate Provost, Division of Computing, Data Science, and Society, and Dean, School of Information, will kick off the afternoon.
Human Contexts and Ethics
2:15 PM - 2:30 PM
Our Human Contexts and Ethics (HCE) student team will present a Jupyter notebook exercise they developed that integrates HCE perspectives into homework for Data 100 by exploring issues of bias, discrimination, and transparency in a public housing dataset.
Students presenting: Mateo Montoya, Alyssa Sugarman, Ollie Downs
Modules
2:30 PM - 2:50 PM
Get the latest on Modules, an innovative approach to integrating data science in research and teaching across campus, with topics ranging from neurobiology to ethnic studies to macroeconomics.
Students presenting: Elias Saravia, Alec Kan, Alma Pineda, Alleanna Clark
Discovery
2:50 PM - 3:10 PM
Learn about some of the 30+ hands-on student Discovery research projects leveraging data science for everything from making cyberspace inclusive to promoting environmental justice.
Featured Discovery Projects
Environmental Justice Mapping Project
The team is creating a hub for environmental justice data across the country. With guidance from environmental justice organizations, they're aggregating this data into a single indicator of vulnerability for every state, similar to CalEnviroScreen(link is external) and the Washington Environmental Health Disparities Map(link is external) This will fill an existing gap in data accessibility and provide a valuable tool for advocates and policymakers. The final product will be an online map and datasets combining census, environmental pollutants, and health data for every state.
Student Team: Neha Hudait, Siddharth Gangrade, Tiffany Huynh, Zain Khan, Chandana Bhimarao
Understanding Flight Performance Data (NASA Ames)
The team is investigating the flight behavior of airline pilots and the factors affecting that behavior in a series of challenging simulated flights. Working with a large, heterogeneous data set including a variety of types of written records, a large corpus of simulator log files, and associated eye-tracking data, the team is comparing pilot activity on different flights, on a variety of measures, such as the time between two events (e.g. an initiating challenge and following response) and the frequency of particular patterns of behavior.
Student Team: Abhishek Kumar, Danyal Shahroz, Mengzhu Sun, Saad Jamal, Sajal Sharma
Making Cyberspace Inclusive
Many studies have focused on building a detection algorithm for hate speech, but no one has developed a similar algorithm for inclusion and belonging. The gap matters because inclusive cyberspace is not equal to the absence of online hate speech. It means people exchange ideas online in an inclusive manner. This project aims to fill this gap by developing a replicable and scalable research methodology that helps identify and examine incidents of inclusive online speech.
Student Team: Carlos Ortiz, Sarah Nam, Sarah Santiago, Vivek Datta
BEACO2N
BEACO2N is a new approach to observing atmospheric gases over an urban area. Instead of using a small number of extremely sensitive instruments to measure a large area, we blanket interesting locations with a high density network of instruments, with each instrument representing a network “node.” Individually, measurements from these nodes are of moderate quality, but when taken together as a network produce an accurate, highly resolved picture of real-time pollutant concentrations. Each node measures carbon dioxide, a major anthropogenic (human-influenced) contributor to climate change, and reports back to this site where the collected data is publicly available for viewing and download.
Student Presenting: Jennifer Grant