Presenters-0681

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CSDMS 2025: Exploring Earth's Surface with Models, Data & AI


From Exploration to Publication: Geospatial Research in the Jupyter Ecosystem



Fernando Perez

Department of Statistics, DSE, Berkeley Institute for Data Science (BIDS) at UC Berkeley. Lawrence Berkeley National Laboratory., United States
Fernando.perez@berkeley.edu
Matt Fisher Schmidt Center for Data Science and Environment at UC, Berkeley United States


Abstract
This workshop aims to explore the capabilities of the Jupyter ecosystem in supporting the entire lifecycle of geospatial research. Participants will gain hands-on experience with core Jupyter tools and workflows for interactive computing, enabling collaborative engagement with geospatial data while prioritizing reproducibility and seamless sharing. A hosted JupyterHub environment will provide the foundation for practical exercises, highlighting modern workflows and demonstrating how research outcomes can be published as websites, books, or academic papers from Jupyter Notebooks and MyST Markdown. A key component of this workshop is sharing and soliciting feedback on developments from GeoJupyter, an early-stage open community initiative designed to enhance research and education workflows for geospatial data users. As much of GeoJupyter’s work is in the prototype phase, this workshop offers a unique opportunity to collaborate with our target audience to shape the ongoing evolution of geospatial interactive computing.

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Of interest for:
  • Terrestrial Working Group
  • Coastal Working Group
  • Marine Working Group
  • Education and Knowledge Transfer (EKT) Working Group
  • Cyberinformatics and Numerics Working Group
  • Hydrology Focus Research Group
  • Chesapeake Focus Research Group
  • Critical Zone Focus Research Group
  • Human Dimensions Focus Research Group
  • Geodynamics Focus Research Group
  • Ecosystem Dynamics Focus Research Group
  • Coastal Vulnerability Initiative
  • Continental Margin Initiative
  • Artificial Intelligence & Machine Learning Initiative
  • Modeling Platform Interoperability Initiative
  • River Network Modeling Initiative