Spatial Data Science for Impact 1
Type: Virtual Paper
Day: 2/28/2022
Start Time: 8:00 AM
End Time: 9:20 AM
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Sponsor Group(s):
Digital Geographies Specialty Group
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Organizer(s):
Marynia Kolak
, Qinyun Lin
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Chairs(s):
Susan Paykin, University of Chicago
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Description:
Spatial Data Science for Impact: Advances in open source, open science frameworks, methods, applications, and infrastructures for the public good
Open source and open science are characterized by transparency and reproducibility, which together foster cross-university and international as well as interdisciplinary collaboration. This collaboration becomes even more essential during a global pandemic, when the need for reliable, verified, publicly accessible COVID-19 data has never been greater, and given the many social, environmental, and health challenges our world faces. Spatial data science provides a “spatial” perspective to these challenges. How we seek a better model for the development, dissemination and application of spatial data analysis in an open science world is an essential question. In this emerging paradigm, development and research are explicitly linked to open data, modeling, software, collaboration, and publication.
For the AAG 2022 Conference, we invite virtual or in-person contributions from all aspects integrating spatial data within an open source & open science world that push spatial thinking to the mainstream as well as frontiers of GIScience. This session will showcase innovative approaches to cutting-edge open source spatial data infrastructures and applications that are designed to facilitate open science research for a public good. This may include, but not limited to data warehouses, dashboards, platforms, or other repositories that are free and completely open to access and/or collaboration.
Presentation(s), if applicable
Ate Poorthuis, ; From computational to explorable notebooks: next steps in spatial data science communication and education. |
Stuart Lynn, ; Matico : A new federated, FOSS platfrom for sharing, cleaning, analyising and visualising geospatial data |
Ofir Klein, University of Kentucky; Where’d the time go? Bringing time back into routing: an open-source approach. |
Dylan Halpern, Center for Spatial Data Science; Forking Awesome: Adventures in Highly Reproducible Geospatial Analytics and Shareable Findings |
Non-Presenting Participants Agenda
Role | Participant |
Discussant | Julia Koschinsky |
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Spatial Data Science for Impact 1
Description
Virtual Paper
Contact the Primary Organizer
Marynia Kolak - mkolak@illinois.edu