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  • IN21D: Open-Source Geospatial Workflows in the Cloud: Tools and Techniques for Data Access, Analysis, Visualization, Storytelling, and Sharing in the Python and Jupyter Ecosystem I Poster
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Primary Convener:
Qiusheng Wu, University of Tennessee, Knoxville

Convener:
Chelle Gentemann, NASA Headquarters
Max Jones, Development Seed
Tyler Erickson, VorGeo
Matt Fisher, University of California Berkeley

Early Career Convener:
Wilson Sauthoff, Colorado School of Mines

Chair:
Max Jones, Development Seed
Matt Fisher, University of California Berkeley

Open and fluid interoperability is increasingly crucial as geospatial data, from Earth system models to in-situ and remote observations, grow in size and complexity. This interoperability is both more challenging and impactful when workflows combine local and cloud platform resources. A growing ecosystem of science, education, and industry is emerging that shares open source tools and standards to democratize and facilitate access to data and compute. This session invites practitioners and developers exploring approaches to improve accessibility, usability, and capabilities of open source geospatial software, focusing on lowering technical barriers. By acknowledging both strengths and limitations of available tools, we aim to facilitate open conversations about what's working, what's missing, and what's next. We seek to convene tool builders and users to chart a more inclusive, community-driven path forward for open geospatial science, fostering better understanding of our world through enhanced access to data and computational resources.

Index Terms
1936 Interoperability
1976 Software tools and services
1980 Spatial analysis and representation
1994 Visualization and portrayal

Cross-Listed:
SY - Science and Society
ED - Education

Suggested Itineraries:
Inclusive and Indigenous Science
Science Communications
Community and People-Powered Science
Open Science and Open Data

Neighborhoods:
1. Science Nexus

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