Flex Conference (Physical / Digital)

International Conference on Spatial Data Science and Analytics - (ICSDSA-26)

17th - 18th November 2026 , Barcelona - Spain

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Call For Papers

The (ICSDSA-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as GIS (Geographic Information Systems) are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Spatial data science methodologies and techniques
  • Applications of machine learning in spatial analytics
  • Challenges in spatial data integration
  • Geospatial data visualization best practices
  • Impact of big data on spatial analytics
  • Case studies in spatial data applications
  • Ethical considerations in spatial data usage
  • Future trends in spatial data science
  • Interdisciplinary approaches to spatial analytics
  • Quality assurance in spatial data collection
  • Training programs for spatial data professionals
  • Role of spatial data in decision-making
  • Public engagement in spatial data initiatives
  • Collaboration between data scientists and geographers
  • Innovations in spatial data processing tools
  • Sustainability and spatial data applications
  • Legal implications of spatial data privacy
  • Community-based spatial data projects
  • Impact of technology on spatial data science
  • Spatial data science in urban planning

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.