Date: November 14, 2025
Time: Morning
Place: COEX, Seoul, Korea
Spatio-temporal data intelligence, which includes sensing, managing, and mining large scale data across space and time, plays a pivotal role in understanding complex systems in real-world applications, such as urban computing and smart cities. With the rapid evolution of foundation models and their growing potential to transform spatio-temporal analytics, we hold a comprehensive half-day workshop at CIKM 2025, catering to professionals, researchers, and practitioners who are interested in spatio-temporal data intelligence and foundation models to address real-world challenges.
The workshop will not only offer a platform for knowledge exchange but also acknowledge outstanding contributions through a distinguished Best Paper Award. A dedicated panel discussion will explore recent advances, emerging trends, and open challenges in integrating spatio-temporal data and emerging machine learning techniques, fostering dialogue between academia and industry.
The workshop encourages submissions of innovative solutions for a broad range of spatio
temporal (ST) data intelligence and foundation models. Topics of interest include but are not
limited to the following:
• Cutting-edge machine learning based algorithms for ST data modeling, and
corresponding surveys, evaluations, or benchmarking,
• Developing foundation models or utilizing LLMs for ST data processing and analytics,
• Multi-modal and cross-domain ST data fusion, integrating ST, visual, and textual
information,
• Uncertainty, fairness, or privacy aware ST data mining,
• Techniques for ST data generation, forecasting, classification, and anomaly detection,
• A hands-on demo, tutorial, benchmark for ST data intelligence,
• Real-world ST applications in transportation, environment, public safety, etc.
The continued digitization of societal processes and the accompanying deployment of sensing technologies generate increasingly massive amounts of ST data, fueling a variety of real-world applications, e.g., intelligent transportation system and weather forecasting. Mining actionable insights from such complex ST data across space and time poses unique challenges, including heterogeneous data management and modeling and ensuring scalability in real-time applications. Our objective is to provide a platform for researchers, practitioners, and stakeholders from diverse fields such as data mining/management and machine learning to explore unique challenges and opportunities provided by ST data. This workshop aims to address the growing need for innovative methods and practical tools for mining ST data, discussing the challenges and ethical considerations, and explore future real-world applications. In addition, ST foundation models have emerged as a new paradigm, offering a unified framework capable of solving various ST tasks. Driven by the success of foundation models, especially LLMs, it becomes possible to develop more generalized and universal solutions that can be adapted to different tasks. We plan to further provide a dedicated forum for in-depth discussion on this emerging research frontier.
Please submit the papers in Easychair at https://easychair.org/my/conference?conf=stintelligence2025.
Manuscripts should be submitted to ClKM 2025 Easychair site in PDF format, using the 2-column ACM sigconf template, see https://www.acm.org/publications/proceedings-template. Full papers cannot exceed 9 pages, short papers and tutorials cannot exceed 4 pages, including an appendix, plus unlimited pages for the GenAl Usage Disclosure secion and references (paper content is limited to 9 pages, that means that if you have an appendix, then it should be included within that page limit. It is also ok if you do not have an appendix and instead 9 pages of content. This workshop will follow a single-blind review process.
If there are any problem, please feel free to contact Dr. Hao Miao.
This workshop will be open to researchers and practitioners from both academia and industry who are interested in but not limited to spatio-temporal data intelligence and foundation models. Participants will be selected based on the peer-review by program committee considering the relevance and quality of their submitted papers or abstracts. We also welcome invited talks and panel discussions to encourage broader engagement. The selection process ensures diversity in perspectives and high-quality contributions aligned with the workshop’s objectives.
• Paper submission deadline: September 5, 2025
• Paper acceptance notification: September 30, 2025
• Camera-ready submission deadline: October 15, 2025
• Workshop date: November 14, 2025
More speakers are coming soon!
| Time | Event |
|---|---|
| 8:00–8:10 | Opening and Welcome |
| 8:10–8:50 | Session 1: Paper Presentations |
| 8:50–9:20 | Keynote #1 |
| 9:20–9:50 | Keynote #2 |
| 9:50–10:05 | Coffee Break |
| 10:05–10:35 | Keynote #3 |
| 10:35–11:15 | Session 2: Paper Presentations |
| 11:15–11:45 | Panel Discussion |
| 11:45–12:00 | Award Ceremony & Closing Remark |
TBD
