Regular Paper
Full-length papers, work-in-progress, extended abstracts, and position papers; accepted in short (up to 4 pages) or long (up to 8 pages) formats, following AAAI 2026 guidelines.
AI/CORE Unranked
AI4UP 2026
The Second Workshop on AI for Urban Planning
Jan 26 2027Official workshop site Site reachable
The 2nd Workshop on AI for Urban Planning (AI4UP 2026) brings together researchers, practitioners, and policymakers to explore AI-driven solutions for urban planning challenges, leveraging multimodal urban data and fostering a co-learning paradigm known as the 'New Urban Science.' Held in conjunction with AAAI-2026 in Singapore, the workshop focuses on advancing equitable, sustainable, and intelligent cities through interdisciplinary collaboration between AI and urban science.
Key deadlines
Verified September 9, 2026Full paper
March 7, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
March 7, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Task & Problem Definition Proposal
Proposals (up to 2 pages) outlining standardized tasks, evaluation frameworks, shared datasets, or comparison methodologies for the AI for urban planning community.
Tutorial Proposal
Proposals (up to 2 pages) for hands-on demonstrations of software tools, libraries, or methodological frameworks aimed at the AI and urban planning community.
Research areas in scope
01
Regular Paper
Representation learning for spatio-temporal dataMultimodal data fusionGraph neural networks in representing urban formsMulti-view learningDomain shift & generalizationUrban time series forecastingSpatio-temporal forecasting (e.g., energy, traffic, crowd flow)Demographic predictionCity climate modelingUrban form designLand use configurationArchitecture designLandscape designTransportation system design (e.g., road network)Reinforcement learning powered simulationLLM agent for evaluation and simulation (i.e., stakeholder role-play)Human-in-the-loop simulationLLM-in-the-loop simulationFairness and biasCommunity engagementTransparency and accountabilityData privacyInterpretabilityUrban digital twinsAR, VR, and metaverse for urban planningCarbon neutralityUrban utility/resources allocationPlanning support systems for policy makers
02
Task & Problem Definition
Propose new standardized tasks for AI in urban planningDefine comprehensive evaluation frameworksPresent ideas for creating shared datasets to accelerate innovationSuggest methodologies for fair comparison of different approaches
03
Tutorials
Demonstrate practical software tools and librariesProvide hands-on tutorials for AI urban planning applicationsShare systematic methodological frameworksHelp disseminate practical knowledge and useful tools to the community
Policies worth checking twice
- All submissions undergo double-blind peer review.
- Papers previously submitted to other venues are welcome.
- Papers must be submitted in AAAI 2026 format.
- Short papers are limited to 4 pages; long papers are limited to 8 pages.
- Task & Problem Definition and Tutorial proposals are limited to 2 pages.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026