19th International Symposium on Spatial and Temporal Data, 25-27 August 2025, Osaka, Japan

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Call for Papers

Scope: The 19th International Symposium on Spatial and Temporal Data (SSTD) expands its scope beyond traditional databases to embrace the broader and rapidly evolving landscape of spatial and temporal data. While previous editions focused on foundational database systems and techniques, this year’s symposium welcomes research that addresses the full spectrum of challenges and innovations in managing, analyzing, and leveraging spatial and temporal data. We invite contributions spanning data management, analytics, mining, machine learning, visualization, and real-world applications across diverse domains, reflecting the growing significance of spatial and temporal data in today’s data-driven world. This expanded scope aims to foster interdisciplinary discussions and accommodate emerging trends where spatial and temporal data intersect with cutting-edge technologies.

-Research Track

Authors are invited to submit long and short research papers presenting original contributions. The selection criteria include quality, novelty, correctness, and relevance to SSTD.

The short research papers are expected to discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance to this category despite not having gone through extensive experimental validation or lacking a strong theoretical foundation.

-Demo Track

We invite authors to submit demo papers featuring systems that are fully developed or currently under development but reasonably complete and mature. Demonstration proposals will be evaluated based on their novelty, technical innovations, the challenges being addressed, and the overall practical appeal of the showcased system.

-Industry Track

We invite the submission of industry papers that highlight practical applications, address real-world challenges, share original insights and demonstrate the successful translation of research into impactful solutions for businesses and organizations.

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Topics of Interest

Topics of interest include, but are not limited to, the following in the context of spatial, temporal, and spatio-temporal data.

Spatial Foundations
-Spatial and temporal data models, representations, and standards
-Computational geometry algorithms
-Theoretical frameworks and complexity analysis
-Spatial approximation, sampling, and compression strategies
-Topological, geometric, and semantic relationships

Spatial Data Mining, Machine Learning, and Analytics
-Foundation models and LLMs for spatial data
-Data warehousing and decision support
-Pattern recognition, clustering, and outlier detection
-Predictive modeling and forecasting
-Integration of deep learning and Geo-AI techniques
-Recommender systems

Spatial Statistical Analysis
-Spatial autocorrelation and regression models
-Spatial point process analysis
-Geostatistical methods
-Bayesian models
-Analysis of spatial heterogeneity
-Spatio-temporal statistical methods

Data Management and Storage
-Data types and query languages
-Database design and conceptual modeling
-Storage and retrieval techniques
-Access methods and indexing
-Query processing and optimization
-Distributed and cloud-based architectures
-Stream processing and real-time indexing
-Moving objects applications
-Methods for data integration and harmonization

Spatial Networks and Graphs
-Transportation and mobility analytics
-Network modeling and route optimization
-Graph-based techniques
-Sensor networks

Geographic Information Retrieval (GIR)
-Spatially-aware search engines
-Geotagging and geographic text analysis
-Location-based information retrieval
-Integration of spatial and textual data
-Ontologies and taxonomies
-Semantic analysis of geographic entities
-Spatial-keyword search

Visualization and Interaction
-Novel visualization techniques
-Human-computer interaction
-AR/VR environments and immersive visualizations

Quality, Uncertainty, Fairness and Privacy
-Data quality assessment and cleaning
-Handling uncertainty and incomplete data
-Privacy-preserving methods
-Data bias, fairness, transparency

Applications and Emerging Domains
-Location-based services and social networks
-Experiments and performance evaluation
-Smart cities and urban planning
-Public health and emergency management
-IoT-based sensor networks
-Computer vision for spatial data
-Crowdsourcing and user-generated content
-Indoor spaces and mobility
-Spatial quantum modeling
-New hardware platforms

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Submission Instructions

Submissions for the three tracks should be done from the link https://cmt3.research.microsoft.com/SSTD2025 selecting the appropriate track.

Submissions should be formatted using the double-column ACM SIG Conference Proceedings template found at: http://www.acm.org/publications/proceedings-template.

If you use Overleaf, you can access the ACM official template found at: https://www.overleaf.com/gallery/tagged/acm-official#.WOuOk2e1taQ. This template requires switching the document class from "manuscript" to "sigconf" to ensure the required double-column format.

Submissions cannot have been or be submitted to another venue while being reviewed at SSTD and must have significant new content compared to previous publications.

Long research papers and industry papers are limited to 10 pages. Short research papers and demo papers are limited to 4 pages. These page limits exclude the references.

The review process is single-blind: the reviewers are not identified, while author names are listed in the submission.

The fair use of AI tools is permitted and must comply with the ACM policies regarding AI tools in authorship and the peer-reviewing process. For more information, please see: https://www.acm.org/publications/policies and https://www.acm.org/publications/policies/frequently-asked-questions

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Important Dates

Abstract submission (all tracks): April 27, 2025
Paper submission deadline (all tracks): May 4, 2025
Notification date: July 1, 2025
Camera-ready: July 15, 2025

All deadlines refer to 23:59 in the AoE (Anywhere on Earth) time zone.