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| Title: | The International Workshop on spatio-temporal data intelligence and foundation models | Authors: | Miao, H Zhao, Y Liang, Y Yang, B Zheng, K Jensen, CS |
Issue Date: | 2025 | Source: | In CIKM '25: Proceedings of the 34th ACM International Conference on Information and Knowledge Management, p. 6920-6922. New York, NY, USA: Association for Computing Machinery, 2022 | 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. | Keywords: | Spatio-temporal data intelligence, Foundation model |
Publisher: | Association for Computing Machinery | ISBN: | 979-8-4007-2040-6 | DOI: | 10.1145/3746252.3761601 | Description: | CIKM '25: The 34th ACM International Conference on Information and Knowledge Management, Seoul Republic of Korea, November 10 - 14, 2025 | Rights: | © 2025 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). The following publication Miao, H., Zhao, Y., Liang, Y., Yang, B., Zheng, K., & Jensen, C. S. (2025, November). The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 6920-6922) is available at https://doi.org/10.1145/3746252.3761601. |
| Appears in Collections: | Conference Paper |
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| 3746252.3761601.pdf | 509.45 kB | Adobe PDF | View/Open |
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