On-location / Digital Conference

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

16th - 17th Dec 2026,Venice, Italy

In Association With:


Important Dates


Early Bird Registration

16th Nov 2026

Paper Submission Deadline

21st November 2026

Registration Deadline

1st December 2026

Conference Date

16th - 17th Dec 2026

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Venice ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Venice conference.
  • Peer Review Process:
    The peer review process will begin soon for Venice conference.
  • Networking with Global Experts:
    Join global experts at our conference in Venice.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 13 — Climate Action
SDG 15 — Life on Land
SDG 16 — Peace, Justice and Strong Institutions
Session Tracks
Track 01
Advancements in Geospatial Analytics

This track focuses on the latest methodologies and technologies in geospatial analytics. Researchers are invited to present innovative approaches that enhance the understanding of spatial data.

Track 02
Big Data in Geographic Information Systems

This session explores the integration of big data techniques within GIS frameworks. Contributions should highlight the challenges and solutions in managing and analyzing large spatial datasets.

Track 03
Spatial Statistics and Modeling Techniques

This track emphasizes the application of spatial statistics in various domains. Papers should discuss novel modeling techniques that leverage spatial data for improved decision-making.

Track 04
Geospatial Intelligence and Decision Support

This session examines the role of geospatial intelligence in enhancing decision-making processes. Presentations should focus on case studies and applications that demonstrate the impact of geospatial insights.

Track 05
Innovations in Remote Sensing Technologies

This track highlights recent advancements in remote sensing and their applications in spatial data science. Researchers are encouraged to share findings that showcase the potential of remote sensing in various fields.

Track 06
Spatial Data Integration and Management

This session addresses the challenges of integrating diverse spatial data sources. Contributions should propose frameworks and methodologies for effective spatial data management.

Track 07
Predictive Modeling in Geospatial Contexts

This track focuses on the development and application of predictive modeling techniques in geospatial contexts. Papers should illustrate how predictive analytics can inform spatial planning and resource management.

Track 08
Geospatial Technology and Applications

This session explores the latest technological advancements in geospatial applications. Researchers are invited to present case studies that demonstrate the practical use of GIS technology in various sectors.

Track 09
Spatial Visualization Techniques

This track emphasizes the importance of spatial visualization in understanding complex datasets. Contributions should focus on innovative visualization methods that enhance data interpretation.

Track 10
Geoinformatics and Spatial Data Science

This session investigates the intersection of geoinformatics and spatial data science. Papers should discuss theoretical advancements and practical applications that push the boundaries of geospatial research.

Track 11
Geospatial Innovation and Future Trends

This track looks ahead to future trends and innovations in geospatial science. Researchers are encouraged to speculate on emerging technologies and their potential impact on the field.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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