Supporting innovation, accelerating research

The UC Davis DataLab facilitates the application of Data Science and Informatics methods and best practices to enhance research and learning in all domains across the University.  Working across the entirety of the research data pipeline, DataLab provides support and training from method and algorithm development to analysis and visualization of translational, high-impact data-driven research.

DataLab emerged from the Provost’s Data Science Initiative (DSI)  as a response to help meet the University’s research and training needs in this area.  DataLab is administered in the UC Davis Library.

Research Clusters

Applied Bayesian Statistics

During 2019-2020 academic year, the DataLab is convening an Applied Bayesian Statistics cluster to work through an finalized copy...

Data Feminism

Computers and code are part of sociotechnical systems that embody the biases of our society and data, and reflect...

Davis R Users Group

In-person meetups are cancelled at this time. Community members are encouraged to engage with both submitting and answering questions...

Digital Humanities

Fall 2019 Meetings: biweeky Thursdays 12:15 pm – 1:45 pmLocation: DataLab Conference Room (Shields 362) The DHRC is an interdisciplinary research...

Hack for California

  Fall 2020, Tuesdays 6-8pm in the DataLab Conference Room via Zoom How can open government data be leveraged...

Health Data Science & Systems

A UC DavisDataLab Research and Learning Cluster The Health Data Science and Systems Research and Learning Cluster (HDSSRC)’s focus...

Network Science

New DataLab research cluster coming Winter 2020! This cluster is led by Professors Mark Lubell, Tyler Scott, and Raissa...

NLP for Healthcare

Join a group of peers working on applying Natural Language Processing (NLP) techniques to healthcare research questions. This Research...

Spatial Sciences

#maptimeDavis Workshops & #maptimeDavis Studio The Spatial Sciences Research & Learning Cluster is a community for people (undergraduate and...