AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: Reproducibility and Replicability in Geography
Type: Virtual Panel
Day: 2/25/2022
Start Time: 9:40 AM
End Time: 11:00 AM
Theme:
Sponsor Group(s):
Spatial Analysis and Modeling Specialty Group
, Geographic Information Science and Systems Specialty Group
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Organizer(s):
Peter Kedron
, Michael Goodchild
, Amy Frazier
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Chairs(s):
Peter Kedron, Arizona State University
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Description:
During the past three years, the reproducibility and replicability of geographic research has moved forward on the research agenda of our discipline. Recent publications on the topic have tied the issue to enduring debates about the influence of place and space, laid the technical foundations needed to facilitate reproducibility, and linked the issue to pedagogical approaches in geographic education. At the same time, a small but growing number of formal, published reproduction and replication studies have been completed laying the practical foundation for similar future studies.
Please join us as a panel of distinguished scholars discuss the recent advances in this field and debate which issues future efforts to should on to accelerate our progress on these issues. Key topics of discussion will include
• What is the present state of reproduction and replication in geography?
• Will replication in the social and environmental sciences always be weak?
• What has we learned by conducting reproduction and replication studies during the last three years?
• What educational priorities have we set for reproduction and replication, do we need to revise these priorities in light of recent advances?
• Where should we focus our future future research efforts?
• How can we integrate reproducibility and replicability with existing long term research agendas and projects to broaden the impact of work in this area?
We invite scholars interested in this session to engage with recent publications on this topic in a special issue of the Annals of the American Association of Geographers (https://www.tandfonline.com/toc/raag21/111/5?nav=tocList&), materials from a workshop on the topic held at ASU (https://sgsup.asu.edu/sparc/RRWorkshop), and the publications listed below:
• Kedron, P., Frazier, A. E., Trgovac, A. B., Nelson, T., & Fotheringham, A. S. (2021). Reproducibility and replicability in geographical analysis. Geographical Analysis, 53(1), 135-147.
• Goodchild, M. F., & Li, W. (2021). Replication across space and time must be weak in the social and environmental sciences. Proceedings of the National Academy of Sciences, 118(35).
• Brunsdon, C., & Comber, A. (2020). Opening practice: supporting reproducibility and critical spatial data science. Journal of Geographical Systems, 1-20.
• Nüst, D., Granell, C., Hofer, B., Konkol, M., Ostermann, F. O., Sileryte, R., & Cerutti, V. (2018). Reproducible research and GIScience: an evaluation using AGILE conference papers. PeerJ, 6, e5072.
• Yin, D., Liu, Y., Hu, H., Terstriep, J., Hong, X., Padmanabhan, A., & Wang, S. (2019). CyberGIS‐Jupyter for reproducible and scalable geospatial analytics. Concurrency and Computation: Practice and Experience, 31(11), e5040.
• Kedron, P., Li, W., Fotheringham, S., & Goodchild, M. (2021). Reproducibility and replicability: opportunities and challenges for geospatial research. International Journal of Geographical Information Science, 35(3), 427-445.
Please send inquiries to Peter.Kedron@asu.edu. We hope you can join us, and we are looking forward to seeing you soon.
Presentation(s), if applicable
Non-Presenting Participants Agenda
Role | Participant |
Panelist | michael Goodchild |
Panelist | Peter Kedron Arizona State University |
Panelist | Shaowen Wang University of Illinois - Urbana-Champaign |
Panelist | Dawn Wright |
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AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: Reproducibility and Replicability in Geography
Description
Virtual Panel
Contact the Primary Organizer
Peter Kedron - peterkedron@ucsb.edu