Research and Learning Clusters
The DataLab Research and Learning Clusters (RLCs) are community driven, interdisciplinary groups of scholars that meet to learn and apply concepts and methods with an aim towards furthering their research and data capabilities.
Membership is open to the UC Davis community including undergraduate and graduate students, faculty, post docs, and staff. Each group acts autonomously with DataLab support including expertise, space, and infrastructure.
The Computational Pedagogy Research and Learning Cluster (RLC) focuses on sharing and advancing pedagogy for hands-on instruction in practical computational thinking. Events for Spring 2023 to be announced.
Davis Python Users Group (D-PUG)
Davis R Users Group (D-RUG)
Health Data Science
UC JULIA USERS GROUP
Applied Bayesian Statistics
Hack 4 California
The Network Science Research and Learning Cluster is dedicated to network data analysis and research. The cluster is headed by Raissa D’Sousa, Mark Lubell, and Tyler Scott. To learn more about the cluster, subscribe to the network_science mailing list.