Urban Informatics - Call for papers: Replicability and Reproducibility of Geospatial Artificial Intelligence (GeoAI) Models and Their Application in Social Science
Urban Informatics invites submissions for a special issue entitled "Replicability and Reproducibility of GeoAI Models and Their Application in Social Science." The deadline for submissions is December 30, 2024.
Guest Editors:
Dr. Lingbo Liu, Center for Geographic Analysis, Harvard University, lingboliu@fas.harvard.edu
Dr. Xiao Huang, Department of Environmental Sciences, Emory University, xiao.huang2@emory.edu
Dr. Siqin Wang, Spatial Sciences Institute, University of Southern California, siqinwan@usc.edu (this opens in a new tab)
Aim & Scope:
This special issue aims to delve into the burgeoning field of GeoAI, focusing on its applications in social sciences. We are particularly interested in contributions that examine the replicability and reproducibility of GeoAI models, shedding light on their effectiveness and dependability in social science research. Our goal is to foster interdisciplinary dialogue, bridging theoretical and empirical approaches in the realm of GeoAI. We welcome submissions that demonstrate how GeoAI models can be used to tackle complex issues in social science research.
The potential submissions should critically analyze the application of GeoAI in various social science disciplines, including sociology, economics, political science, human geography, and more. Papers that utilize innovative methodologies, offer novel theoretical insights, or present case studies demonstrating the application of GeoAI in real-world social science research with replicable data and code are particularly encouraged.
In addition to regular research papers, we welcome a variety of scholarly contributions related to GeoAI in social science. These include talk summaries, discussion collections, and opinions, submitted in the formats of review papers, perspective papers, or commentary articles. We are particularly interested in submissions from participants of the following conferences:
Symposium on Spatiotemporal Data Science: GeoAI for Social Sciences, Arlington, VA, USA (July)Evaluating the Science of Geospatial AI, Cambridge, MA, USA (May)
Possible Topics:
- GeoAI Model applications in social science research
- Theoretical discussions on GeoAI's role in understanding social phenomena
- Methodological advancements in GeoAI for social science
- Reviews of trends and future directions in GeoAI and social science
- Cross-disciplinary approaches involving GeoAI and fields like sociology, economics, or political science
- Ethical considerations in using GeoAI in social science
- GeoAI used in the education of social science
- GeoAI integrating with ChatGPT, Generative AI and other large language models (LLM) in social science
Special Requirements for GeoAI Model Papers
For submissions focusing on GeoAI models, authors are required to provide:
Data: Original or sample data from the study;
Workflow: Executable workflows based on code of Python, R, or KNIME workflows that can be re-applied in future studies.
These materials are crucial for ensuring the replicability and reproducibility of the research.
Submission Process:
Manuscripts should be submitted through the journal’s online system (www.editorialmanager.com/uinf/default.aspx (this opens in a new tab)), ensuring adherence to the high standards of Urban Informatics. Please select this special issue in the "Additional Information" section during submission.
Deadline for Submissions: December 30, 2024
We are looking forward to your valuable contributions and joint efforts to foster a rich academic discourse at the intersection of GeoAI and social science.