The rapid democratization of data has placed its access and analysis in the hands of the entire population. While the advances in rapid and large-scale data processing continue to reduce runtimes and costs, the interfaces and tools for end-users to interact with, and work with, data is still lacking. It is still too difficult to translate a user’s data needs into the appropriate interfaces, too difficult to develop data intensive interfaces that are responsive and scalable, and too difficult for users to understand and interpret the data they see. In this talk, I will provide an overview of our lab’s recent work on systems for human data interaction that go towards addressing these challenges.

This talk is part of the Vaccination Database Tech Talk Seminar Series.

Bio:
Eugene Wu is broadly interested in technologies that help users play with their data. His goal is for users at all technical levels to effectively and quickly make sense of their information. He is interested in solutions that ultimately improve the interface between users and data, and uses techniques borrowed from fields such as data management, systems, crowd sourcing, visualization, and HCI. Eugene Wu received his Ph.D. from MIT, B.S. from Cal, and was a postdoc in the AMPLab. He wears pants.

More Info: https://db.cs.cmu.edu/seminar2021/#db18