Our mission is to enable data-intensive research and computing for agricultural, environmental, and life sciences. We support the University of Arizona’s College of Agriculture and Life Science, the Arizona Experiment Station, and the Cooperative Extension Service and collaborators by helping scientists with analysis, software, data, and computing. Our vision is that digital collaboration will enable more effective and sustainable management of systems that produce food, energy, and ecosystem services.
Enabling data-driven research and education
We can support your research in a variety of ways if you are in or collaborating with someone in the Division of Agriculture, Life and Veterinary Sciences and Cooperative Extension (ALVSCE) at UArizona. Our areas of expertise include data management and curation, reproducible and open research workflows, crop and ecosystem modeling, Bayesian statistics, and computing best practices. Our interactions with researchers can be short term, such as answering a single programming question, to much longer collaborations. See below for ways to interact with our group!
Sign up for our mailing list or follow us on Mastodon to keep up to date.
Drop-in Hours
We host open drop-in hours once per week, feel free to join even just to chat!
You can also schedule individual meetings with a member of our group using the relevant link below:
- Kristina Riemer
- Jessica Guo
- Christophe Schnaufer
- Eric Scott
- Renata Diaz
Workshops
Monthly workshops
We host hands-on workshops approximately once per month on a variety of topics ranging from data management to computing and advanced statistical methods for researchers in ALVSCE and beyond. Feel free to request a workshop here!
Other Workshops
We also run a variety of other workshops for diverse groups and conferences at UA and beyond.
Data Science Incubator
Could your research take off with some data science or software support? We offer a Data Science Incubator that is open to all faculty, staff, and students in ALVSCE. If your proposal is selected, a staff member will provide collaborative support on methods, technologies, and best practices for up to 80 hours (2 weeks FTE).
Past incubators include Shiny apps for data visualization and discovery, custom Bayesian analyses, R packages, and database design.
See the Request for Proposals for more information.
Proposal Writing
Are you looking for help crafting the data management, statistical analysis, visualization, modeling, or computing infrastructure parts of your grant proposals? We would love to help!
Past and current projects include crop and ecosystem simulation modeling, high-throughput plant phenotyping, and open-source drone workflows.
Contact us: cct-datascience@arizona.edu
Long-term Collaboration
We are always looking to establish longer-term collaboration with researchers at UA. For extended projects beyond the scope of the Data Science Incubator, you have the opportunity to hire a data scientist or software engineer from our group.
Contact us: cct-datascience@arizona.edu
