The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models

  • Hao Miao
  • , Yan Zhao
  • , Yuxuan Liang
  • , Bin Yang
  • , Kai Zheng
  • , Christian S. Jensen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationCIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management
PublisherAssociation for Computing Machinery, Inc
Pages6920-6922
Number of pages3
ISBN (Electronic)9798400720406
DOIs
StatePublished - 10 Nov 2025
Event34th ACM International Conference on Information and Knowledge Management, CIKM 2025 - Seoul, Korea, Republic of
Duration: 10 Nov 202514 Nov 2025

Publication series

NameCIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management

Conference

Conference34th ACM International Conference on Information and Knowledge Management, CIKM 2025
Country/TerritoryKorea, Republic of
CitySeoul
Period10/11/2514/11/25

Keywords

  • foundation model
  • spatio-temporal data intelligence

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