Enterprise AI Analysis
The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models
The 'International Workshop on Spatio-Temporal Data Intelligence and Foundation Models' at CIKM 2025 aims to be a pivotal half-day event. It will bring together professionals, researchers, and practitioners interested in the convergence of spatio-temporal data intelligence and foundation models. The workshop will feature 3 keynote talks, 5 accepted papers, a panel discussion, and an expected attendance of over 50. It builds on a successful track record of 10 previous workshops, fostering knowledge exchange, addressing real-world challenges, and acknowledging outstanding contributions.
Workshop at a Glance
Highlighting the key figures and contributions that make this workshop a leading event in spatio-temporal data intelligence.
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Successful Previous Editions
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Expected Attendees
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Keynote Speakers
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Accepted Papers
Deep Analysis & Enterprise Applications
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Methodology
Applications
Ethical Considerations
Future Trends
Methodology Focus
Innovative algorithms and models for spatio-temporal data intelligence, including integration of foundation models and LLMs.
Applications Focus
Real-world use cases and practical implementations in domains like urban computing, smart cities, transportation, and environment.
Ethical Considerations Focus
Discussions on uncertainty, fairness, and privacy-aware aspects within spatio-temporal data mining.
Future Trends Focus
Emerging research frontiers, benchmarks, surveys, and hands-on demonstrations related to spatio-temporal data and foundation models.
Workshop Contribution Flow
Spatio-Temporal Data Challenges
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Foundation Model Integration
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Innovative Solutions & Papers
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Knowledge Exchange & Dialogue
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Real-World Impact & Applications
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Previous Workshops (Average submissions: 25+, Participants: 60+)
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Bridging Academia and Industry
The workshop's panel discussion and invited talks specifically aim to foster dialogue between academia and industry. By bringing together leading experts and practitioners, the event facilitates the exchange of ideas, promotes collaborative research, and ensures that theoretical advancements address practical real-world challenges. This interaction is crucial for translating cutting-edge research in spatio-temporal data intelligence and foundation models into tangible solutions for societal processes and urban development.
Highlight: Collaboration is key to innovation in ST data intelligence.
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Annual Savings Potential
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Hours Reclaimed Annually
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Workshop Roadmap & Impact Phases
A structured overview of how the workshop is organized to maximize knowledge transfer and practical impact.
Phase 1: Knowledge Exchange
Submission and peer review of innovative papers, keynote talks from distinguished experts, and a dedicated panel discussion to explore advances and challenges.
Phase 2: Dialogue & Collaboration
Fostering interaction between academia and industry, identifying key research gaps, and promoting interdisciplinary studies.
Phase 3: Impact & Dissemination
Best Paper Award for outstanding contributions, expansion of accepted papers for special journal issues, and enhancing workshop visibility.
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