groups
Bioinformatics Community of Practice (POOH)
https://events.library.ucdavis.edu/group/bioinformatics
This graduate student led working group is a resource for computational biology research, facilitating bioinformatic learning and discussions.
groups
Causal Inference Community of Practice
https://events.library.ucdavis.edu/group/causal-inference-community-of-practice
The Causal Inference Learning Cluster (CILC) is a study and support group for learning about causal inference, with emphasis on quasi-experimental methods for analyzing non-randomized experiments and observational data.
groups
Computational Pedagogy Community of Practice
https://events.library.ucdavis.edu/group/computational-pedagogy
The Computational Pedagogy Community of Practice focuses on sharing and advancing pedagogy for hands-on instruction in practical, applied computational thinking.
groups
Cultural Analytics Community of Practice
https://events.library.ucdavis.edu/group/cultural-analytics
This group uses computational methods in concert with cultural data to undertake research in the humanities and social sciences.
groups
Data Feminism Community of Practice
https://events.library.ucdavis.edu/group/data-feminism
This group explores the interaction between systems of power and oppression within the development and application of the data sciences.
groups
Davis Python Users Group (DPUG)
https://events.library.ucdavis.edu/group/python-users-group
This group meets to work through learning and applying Python for research.
groups
Davis R Users Group
https://events.library.ucdavis.edu/group/r-users-group
This group is a UC Davis community that supports each other in using R for science and research.
groups
Network Science Community of Practice
https://events.library.ucdavis.edu/group/network-science
The Network Science Community of Practice connects researchers across domains who are using network data and conducting network analyses.
groups
Spatial Sciences Community of Practice (#maptimeDavis)
https://events.library.ucdavis.edu/group/spatial-sciences
This group's goal is to help people engage in new and creative ways with spatial data and to connect with other students and researchers who also work with spatial data.
