About the Workshop
Spatio-temporal reasoning is becoming a central bottleneck for modern AI. Across language, vision, robotics, and multi-agent settings, current learning-based systems can be impressive at pattern recognition, yet they often fail when faced with distribution shifts, long-horizon dependencies, counterfactual queries, or the need to justify decisions in dynamic environments. At the same time, the community is seeing rapid progress in foundation models (including vision-language-action models), neural world models, and spatio-temporal representation learning, which creates an opportunity to couple these advances with structured representations and reasoning to improve robustness, transfer, and explainability.
STRL 2026 brings together the Knowledge Representation and Reasoning and Machine Learning communities to advance dependable spatio-temporal AI. We invite submissions that develop representations, learning methods, and evaluation resources for reasoning about space, time, motion, and events in dynamic environments (see topics below). A key goal is to identify reusable abstractions and benchmarks that improve robustness, generalization, and explainability across tasks and modalities.
August 15, 16, or 17 (TBA), 2026
Workshop Date
University of Bremen
Bremen, Germany
Full Day
In-Person Workshop
Call for Papers
Topics of Interest
We invite submissions related to the integration of spatial and temporal reasoning with machine learning, including but not limited to:
- Neuro-symbolic approaches to spatio-temporal reasoning and learning
- Spatio-temporal commonsense reasoning and learning
- Generalization in spatio-temporal reasoning and learning (compositional generalization, continual learning, transfer learning, causal reasoning)
- Large language models and vision-language(-action) models for spatio-temporal reasoning and learning
- World models for spatio-temporal reasoning and learning
- Explainability and interpretability in spatio-temporal reasoning and learning
- Spatio-temporal reasoning and learning in adjacent fields (e.g., robotics, computer vision, natural language processing, multi-agent systems, reinforcement learning, and knowledge graphs)
- Benchmarks for spatio-temporal reasoning and learning
- Real-world problems in spatio-temporal reasoning and learning
Keywords: Spatio-Temporal Reasoning, Neuro-Symbolic AI, Multimodal Learning, Commonsense Reasoning, World Models, Explainable AI, Benchmarks and Evaluation, Continual and Compositional Generalization
Submission Guidelines
We welcome submissions across the full spectrum of theoretical and practical work including research ideas, methods, applications, tools, benchmarks, surveys, and position papers.
Submision Format
Papers should be formatted according to the IJCAI-ECAI conference guidelines (The updated LaTeX styles and Word template are available at https://www.ijcai.org/authors_kit).
- Short papers (4 pages, excluding references and appendices)
- Regular papers (8 pages, excluding references and appendices)
- Extended abstracts (2 pages, excluding references and appendices)
Unlimited additional pages containing references and supplementary materials are allowed.
Submission policy
The workshop is non-archival, i.e., authors are allowed to submit work that is under review or will be submitted elsewhere. We welcome ongoing and unpublished work. We will also accept papers that are under review at the time of submission, or that have been recently accepted without published proceedings. Extended abstracts of published papers are welcome, as long as they demonstrate a close link to the topic of the workshop. Authors of selected papers may be invited to submit an extended version of their work to a journal special issue related to the workshop.
Use of LLMs in Submissions: While we encourage the use of LLMs for brainstorming and drafting, we require that all submissions reflect the authors’ original work and ideas. Therefore, any submissions that include errors due to LLM-generated content (e.g., hallucinated references, inaccurate information) will be desk-rejected without review.
Review policy
All papers will be peer-reviewed in a double-blind process and assessed based on their novelty, technical quality, potential impact, clarity, and reproducibility (when applicable). At least one author per submission must commit to reviewing for the workshop. You will need to designate the reviewing author(s) on charingtool. Submissions without a nominated reviewer may be desk-rejected.
If you would like to become a reviewer for this workshop, please let us know.
Important Dates
All deadlines are AoE (Anywhere on Earth).
Workshop Program
Keynote Speakers
Steven Schockaert
Cardiff University, UK
Steven Schockaert is Professor at Cardiff University. His research focuses on natural language processing, commonsense reasoning, representation learning, and neuro-symbolic AI. He is a fellow of the Alan Turing Institute.
To be announced
Details about the keynote speaker will be announced soon. Stay tuned for updates!
Tentative Schedule
| Time | Activity |
|---|---|
| 09:00 – 09:10 | Opening remarks, overview of goals, and logistics |
| 09:10 – 10:00 | Keynote 1 Speaker TBA 40 min talk + 10 min Q&A |
| 10:00 – 10:20 | Coffee break |
| 10:20 – 11:20 | Contributed Session I 3–4 presentations (10 min talk + 5 min Q&A each) |
| 11:20 – 12:00 | Poster lightning round + moderated discussion Up to 12 × 2 min |
| 12:00 – 13:30 | Lunch break |
| 13:30 – 14:20 | Keynote 2 Speaker TBA 40 min talk + 10 min Q&A |
| 14:20 – 15:10 | Contributed Session II 2–3 presentations (10 min talk + 5 min Q&A each) |
| 15:10 – 15:30 | Coffee break |
| 15:30 – 16:20 | Poster session and demos Interactive, with discussion prompts |
| 16:20 – 17:10 | Panel discussion and open Q&A E.g., benchmarks, evaluation, deployment challenges |
| 17:10 – 17:30 | Wrap-up, takeaways, and community roadmap |
Times may be adjusted to match the official IJCAI-ECAI 2026 workshop timetable.
Organization
Organizing Committee
Jae Hee Lee
University of Hamburg, Germany
Jakob Suchan
Constructor University Bremen, Germany
Xun Gong
Southwest Jiaotong University, China
Advisory Committee
Michael Sioutis
University of Montpellier, France
Zhiguo Long
Southwest Jiaotong University, China
Parisa Kordjamshidi
Michigan State University, US
Mehul Bhatt
Örebro University, Sweden
Program Committee
- Nassim Belmecheri, Simula Research Laboratory, Norway
- Xiaoyu Ge, Australian National University, Australia
- Yameng Guo, Ghent University, Belgium
- Shufeng Kong, Cornell University, USA
- Fangjun Li, University of Manchester, UK
- Kaustuv Mukherji, Syracuse University, USA
- Jaikrishna M. Patil, Syracuse University, USA
- Tanawan Premsri, Michigan State University, USA
- John Stell, University of Leeds, UK
- Seppe vanden Broucke, Ghent University, Belgium
- David Wong, University of Leeds, UK
- Bowen Xi, Arizona State University, USA
- Peng Zhang, Australian National University, Australia
Additional Program Committee members will be added as confirmations are received.
Venue
STRL 2026 is co-located with IJCAI-ECAI 2026. The IJCAI-ECAI 2026 workshops and tutorials will take place from August 15 to 17, 2026 at University of Bremen.
The exact STRL date, room, and final local logistics remain TBA.
Address: University of Bremen (Zentralbereich), Bibliothekstraße 1, 28359 Bremen. See the University of Bremen campus map.
Travel: tram line 6 connects Bremen Airport and Bremen Central Station with the Universität / Zentralbereich stop.