AAG 2023 Symposium on Harnessing the Geospatial Data Revolution for Sustainability Solutions: Reproducibility and Replicability in the Human-Environment and Geographical Sciences II
The session recording will be archived on the site until June 25th, 2023
This session was streamed but not recorded
Date: 3/23/2023
Time: 10:20 AM - 11:40 AM
Room: Centennial Ballroom H, Hyatt Regency, Third Floor
Type: Paper,
Theme:
Curated Track: AAG's GeoEthics Initiative and Related Effort
Sponsor Group(s):
Cyberinfrastructure Specialty Group, Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Joseph Holler Middlebury College
Peter Kedron Arizona State University
Sarah Bardin Arizona State University
Alexander Michels University of Illinois Urbana-Champaign
Jinwoo Park University of Illinois Urbana-Champaign
Chair(s):
Joseph Holler Middlebury College
Peter Kedron
Description:
Reproducibility and replicability (R&R) are increasingly recognized as essential characteristics of open science and of scientific research publications (NASEM 2019 doi:10.17226/25303, NSF Dear Colleague Letter 23-018). Attention to R&R has been slower to develop in geography than in other disciplines, and there is reason to believe that data-intensive and computationally-intensive geographical sciences present unique challenges and barriers to achieving R&R (see the forum in the Annals of the American Association of Geographers 2021 111(5), www.tandfonline.com/toc/raag21/111/5). Reproducibility is the ability to repeat a prior study with the same data and produce the same results, offering opportunities to check the internal validity of the study and to enhance the transparency and efficiency of scientific communication and open science.
Replicability is the ability to repeat a prior study's design and procedures with new data and confirm the same findings, offering opportunities to verify the external validity and generalizability of the prior findings. Together, reproductions and replications are a means by which the scientific community can verify, correct, and improve the claims that science makes about phenomena. Furthermore, reproducibility and replicability can enhance the credibility and reliability of research for informing public policy and enhancing public trust. Conversely, the lack of reproducibility is increasingly becoming a barrier between scientific research and public action to enact sustainability solutions.
Symposium Description:
The Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE, https://iguide.illinois.edu) is supported by the National Science Foundation (NSF) as part of its Harnessing the Data Revolution Big Idea initiative (https://www.nsf.gov/news/special_reports/big_ideas/harnessing.jsp). Sponsored by I-GUIDE, this symposium will explore theories, concepts, methods, and tools focused on data-intensive geospatial understanding for driving innovative artificial intelligence (AI) and cyberGIS (cyber-based geographic information science and systems) approaches to address sustainability challenges such as aging infrastructure, biodiversity loss, and food and water insecurity.
At the AAG 2023 annual meeting, the Symposium on Harnessing the Geospatial Data Revolution for Sustainability Solutions will be held by building on the successes of previous Symposia focused on cyberGIS and geospatial data science at AAG annual meetings since 2011. A suite of paper and panel sessions will address cutting-edge advances of cyberGIS, geospatial AI and data science, and fundamental geospatial understanding derived from spatial and spatiotemporal data synthesis. The topical themes of the symposium will include, but are not limited to, frontiers of cyberGIS, geospatial AI and data science, high-performance computing approaches to geographic problem solving, geographic approaches to resilience and sustainability challenges enabled by AI and cyberGIS, and challenges and opportunities of education and workforce development in harnessing the geospatial data revolution.
Presentations (if applicable) and Session Agenda:
Wendy Guan, Harvard University |
Workflow Based Tools for Integrated Spatiotemporal Research |
Joseph Holler, Middlebury College |
Framework and Infrastructure for Reproducible Research and Pedagogy in HEGS |
Sarah Bardin, Arizona State University |
Moving Beyond Computation: Reproducing Geographical Analyses of COVID-19 to Assess and Improve the Validity of Research |
Junyi Zhou |
Middlebury College Undergraduate Students Reproduce Three Spatial Analysis Studies in Health and Hazards |
Non-Presenting Participants
Role | Participant |
Discussant | Eric Delmelle |
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AAG 2023 Symposium on Harnessing the Geospatial Data Revolution for Sustainability Solutions: Reproducibility and Replicability in the Human-Environment and Geographical Sciences II
Description
Type: Paper,
Date: 3/23/2023
Time: 10:20 AM - 11:40 AM
Room: Centennial Ballroom H, Hyatt Regency, Third Floor
Contact the Primary Organizer
Joseph Holler Middlebury College
josephh@middlebury.edu