Abstract
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 propose a comprehensive half-day workshop (with at least 5 accepted papers, 3 keynote talks, 1 panel discussion, and over 50 attendees) 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. Note that this will be the eleventh time that our core members have organized a similar workshop. The previous 10 workshops were hosted in top-tier data mining and management venues, e.g., SIGKDD, WWW, and IJCAI, each of which attracted over 60 participants and 25 submissions on average.
| Original language | English |
|---|---|
| Title of host publication | CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 6920-6922 |
| Number of pages | 3 |
| ISBN (Electronic) | 9798400720406 |
| DOIs | |
| State | Published - 10 Nov 2025 |
| Event | 34th ACM International Conference on Information and Knowledge Management, CIKM 2025 - Seoul, Korea, Republic of Duration: 10 Nov 2025 → 14 Nov 2025 |
Publication series
| Name | CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management |
|---|
Conference
| Conference | 34th ACM International Conference on Information and Knowledge Management, CIKM 2025 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 10/11/25 → 14/11/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 11 Sustainable Cities and Communities
Keywords
- foundation model
- spatio-temporal data intelligence
Fingerprint
Dive into the research topics of 'The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver