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Urban Informatics - Call for papers: GeoAI for Urban Sensing

The following special issue in Urban Informatics is open for submissions. The submission deadline is Jan 31, 2024.


Call for Papers: Special Issue on GeoAI for Urban Sensing in Urban Informatics 


Guest Editors: Prof. Yuhao Kang, Prof. Arianna Salazar-Miranda, Prof. Yiyi He, Prof. Francisco Rowe, and Prof. Song Gao 


The rapid advancements in Geospatial Artificial Intelligence (GeoAI), Geographic Data Science, as well as generative AI (e.g., ChatGPT) offer unprecedented opportunities for sensing and modeling urban environments and geographic phenomena. The integration of these technologies with large-scale geospatial big data, including, but not limited to, social media data, human mobility data, remotely sensed imagery, cell phone data, street view imagery, and trajectory data, offers valuable insights. These insights hold the potential to impact our understanding of urban dynamics and the development of smart cities, leading to more sustainable and resilient urban systems.  

Furthermore, the integration of these technologies finds relevance in a variety of topics such as climate change, economics, regional science, urban planning, and environmental science. This interdisciplinary overlap promises to open new paths for research. However, while this integration holds significant promise, it also brings to the fore several challenges, such as bias, issues of geoprivacy, the necessity for explainability in AI models, and the ethical implications related to the application of geospatial technology.  

This call for papers encourages original research articles, reviews, perspective, and commentary that cover, but are not limited to, the following topics: 

  • Development of (spatially-explicit) GeoAI models for urban studies 
  • Utilizing Generative AI in urban sensing and design applications 
  • Fusion of multi-source, spatio-temporal data in urban informatics 
  • Implementing Geospatial Data Science in urban planning and policy making 
  • Analyzing human mobility data for urban development and sustainability 
  • Employing GeoAI for modeling climate change and resilience in urban systems 
  • Applications of geospatial data science in economic and regional sciences 
  • Exploring social implications of GeoAI models in urban studies 
  • Geographic data science contributions to understanding environmental and climate justice 


This special issue in Urban Informatics aims to bring together innovative research and applications that leverage Geospatial Artificial Intelligence (GeoAI), (Geo)spatial Data Science, and generative AI to address a variety of urban challenges (e.g., crime, health, climate change, social disparity, transportation, resilience) and to promote smart, resilient, and sustainable urban development. 

Submission Guidelines: 

All submissions must be original and must not be currently under review for publication elsewhere. We encourage interdisciplinary research that forges connections among GeoAI, urban sensing, human mobility, environmental science, and urban sustainability, especially in the context of the research topics highlighted above.  Interested authors should notify the guest editors of their intention to submit a paper by sending the title and a 250-word abstract to one of the guest editors by October 31, 2023. The deadline for submissions of the full papers is January 31, 2024. Please prepare your manuscript according to the Urban Informatics (https://www.springer.com/journal/44212). All papers will be peer-reviewed. https://www.springer.com/journal/44212/submission-guidelines). All papers will be double blind peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website. 


Important Dates: 

  • Abstract (no more than 250 words) submission deadline: October 31, 2023 
  • Full Paper Invitation: November 15, 2023 
  • Full paper submission to the Urban Informatics: January 31, 2024 
  • Initial decision on full papers: March 15, 2024 
  • Publication date: June 30, 2024 


We look forward to your contributions. 


Best regards, 


Dr. Yuhao Kang, University of South Carolina, yuhaokang@sc.edu  

Dr. Arianna Salazar-Miranda, Massachusetts Institute of Technology, ariana@mit.edu 

Dr. Yiyi He, Stanford University, yiyihe@stanford.edu 

Prof. Francisco Rowe, University of Liverpool, f.rowe-gonzalez@liverpool.ac.uk 

Dr. Song Gao, University of Wisconsin-Madison, song.gao@wisc.edu  


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