Highlights
Selected Upcoming Events
From the DataLab
DataLab is Hiring a Research Data Scientist
DataLab is seeking a full-time Research Data Scientist to join our team! As a Research Data Scientist at DataLab, you …Read More »
WOMEN IN DATA SCIENCE 2023 DATATHON AND CONFERENCE
The annual Women in Data Science (WiDS) Conference returns in March! See below for how to get involved in this …Read More »
UC Love Data Week 2023
The UC Davis DataLab, along with data organizations from across the UC system, is hosting UC Love Data Week 2023! Join …Read More »
CA 2022 Election Data Challenge Public Symposium
Register now and join us for our Challenge Finale Symposium on November 7th from 5-7pm! Registration is free and open to …Read More »
DataLab Launches New Micro-Credential with GradPathways
To help our research community discover and grow their data science skills and gain a competitive edge in today’s data-driven …Read More »
Winter 2023 Course Announcement: Adventures in Data Science (Quarter 1)
Adventures in Data Science is back in Winter 2023! DataLab directors Carl Stahmer and Pamela Reynolds will teach the first …Read More »
Around Campus
UC Davis Undergrads – Apply for the Lang Prize!
Students working on Data-Intensive and Data Science projects are encouraged to apply for the 2023 Lang Prize The UC Davis …Read More »
Seminar: Drone Network Design for Time-Sensitive Medical Events
Miguel Lejeune, a professor of decision sciences and of electrical and computer engineering at the George Washington University, will be …Read More »
Call for Proposals: Pilot Translation and Clinical Studies Program
The UC Davis Clinical and Translational Science Center (CTSC) requests applications in response to this call for Health Data Analytics …Read More »
Data Points
Upcoming Winter 2022 Data Science Community Events
The DataLab's favorite data science events happening early 2022.Read More »
US Census Open Data for Good Grand Challenge
The US Census Bureau, through Challenge.gov, is hosting an open challenge to create new products or data analyses which address: …Read More »
UC Berkeley Digital Humanities Fair
UC Berkeley is hosting their annual Digital Humanities Fair.Read More »
Featured Project
Unlocking Insights from Public Data
A Case Study with COVID-19 Exposure Data
Throughout the pandemic we have seen a proliferation of public data reporting and sharing, which for many may have been their first exposure to dashboards and real-time data visualization. To help our community engage with public data and to illustrate how data science workflows and tools can be combined to create similar impactful visualizations, the DataLab team focused on a dataset that had not yet been visualized – campus COVID-19 exposure data. The UC Davis DataLab hopes the community finds this visualization useful as an exploration tool and example of the power of good data viz.
Affiliate Spotlights
Chen-Nee Chuah, Professor of Electrical and Computer Engineering and Computer Science and DataLab Faculty Advisory Group Member
Chen-Nee Chuah’s research interests have evolved during her twenty-year career at UC Davis, but one thing remains the same: she’s interested in data-driven, living systems and the people that use them. "Over the years, I have applied…data-driven analysis from end to end, from collecting data to analyzing it, to actually transferring it to data-driven control, or designing some kind of optimal control of the whole pipeline," she says. During her PhD and the early convergence of internet voice, video, and data services, Chen-Nee trained in computer networks and distributed systems, and this work now informs which inform her collaborations with UC Davis Health on smart health technologies that assistant clinicians in making life-saving diagnoses.
Andrea Yang, English PhD Student and DataLab Digital Humanities Intern
Andrea Yang is an English PhD student at Davis and DataLab’s Digital Humanities Intern. As an undergraduate, she studied both English and Computer Science: “two majors that had nothing to do with each other,” according to most people she talked to who were confused by her future career path. Fully prepared to leave behind her literary background, she pursued a Master’s in Computer Science: but the experience exposed her to text mining and digital humanities and instead set her on a path to unite her two passions via her work as a digital humanities and early modern literary scholar here at Davis.
Research & Learning Clusters
Users Group
