Workshops
ACM SIGSPATIAL 2026 Workshops
The following workshops have been accepted for ACM SIGSPATIAL 2026. All workshops will be held on November 3rd, 2026, at the venue of the main conference. Each workshop's program, as posted on its website, is listed under its entry below; click a workshop in the table for a quick view.
| Tuesday, November 3 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| From | To | MR1 | MR2 | MR7 | MR8 | MR9 | MR10 | RC A | RC B | RC C | RC D | RC E | RC F |
| PhD/SRC | Workshops | ||||||||||||
| 07:00 | 08:00 | Light Breakfast & Registration (at concourse 201) | |||||||||||
| 08:00 | 08:30 | Geo | |||||||||||
| 08:30 | 09:00 | Pol | Q-Spatial | OASIS | GeoAI | Geo | |||||||
| 09:00 | 09:30 | UMFM | UrbanAI | HuMob | Geo | ||||||||
| 09:30 | 10:00 | PhD/SRC | PhD/SRC | ||||||||||
| 10:00 | 10:30 | Coffee Break (at concourse 201) | |||||||||||
| 10:30 | 11:00 | PhD/SRC | PhD/SRC | Geo | Pol | Q-Spatial | OASIS | UMFM | GeoAI | UrbanAI | HuMob | Geo | Geo |
| 11:00 | 11:30 | ||||||||||||
| 11:30 | 12:00 | ||||||||||||
| 12:00 | 12:30 | Geo | |||||||||||
| 12:30 | 13:00 | Lunch Break | |||||||||||
| 13:00 | 13:30 | ||||||||||||
| 13:30 | 14:00 | Geo | UrbanAI | Geo | |||||||||
| 14:00 | 14:30 | PhD/SRC | PhD/SRC | Q-Spatial | OASIS | UMFM | GeoAI | Spatial | Geo | ||||
| 14:30 | 15:00 | ||||||||||||
| 15:00 | 15:30 | ||||||||||||
| 15:30 | 16:00 | Coffee Break (at concourse 201) | Geo | Coffee Break (at concourse 201) | |||||||||
| 16:00 | 16:30 | PhD/SRC | PhD/SRC | Coffee Break (at concourse 201) | Q-Spatial | OASIS | UMFM | GeoAI | UrbanAI | Spatial | Geo | ||
| 16:30 | 17:00 | Geo | |||||||||||
| 17:00 | 17:30 | ||||||||||||
| 17:30 | 18:00 | ||||||||||||
Full-Day Workshops · Half-Day Workshops
Full-Day Workshops
The 9th International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2026)
Organizers: Sam Arundel (U.S. Geological Survey), Song Gao (University of Wisconsin, Madison), Dalton Lunga (Oak Ridge National Laboratory), Gengchen Mai (The University of Texas at Austin), Bruno Martins (University of Lisbon, Portugal), Shawn Newsam (University of California, Merced), Lexie Yang (Oak Ridge National Laboratory), Di Zhu (University of Minnesota, Twin Cities)
Program
| 08:30–08:40 | Opening Remarks |
| 08:40–08:55 | Do Large Language Models Support Geospatial Reasoning? |
| 08:55–09:10 | Evaluating the Trustworthiness of LLM-Based Geocoding: Accuracy, Reliability, Robustness, and Reproducibility |
| 09:10–09:25 | Semantic descriptors from LLMs improve spatial generalization in property price prediction |
| 09:25–09:40 | StreetRAG: Comparing Image- and Caption-Based Indexing for Urban Street-Level Retrieval |
| 09:40–09:50 | LLM-Based Next Locality and Activity Prediction Using Privacy-Enhanced Trajectories |
| 09:50–10:00 | GeoAmbiguity-200: A Benchmark for Geospatial Ambiguity Resolution |
| 10:00–10:30 | Coffee Break |
| 10:30–10:45 | GeoLEON-CLIP: Graph-Anchored Multimodal Contrastive Learning for Geographic Region Representation |
| 10:45–11:00 | How Geographic Information Influences Vision-Language Model Judgments of Urban Scenes |
| 11:00–11:15 | Parameter-Efficient Fine-Tuning and ViT-Adapter Necks for Fallow Field Detection with Prithvi-EO-2.0 |
| 11:15–11:30 | SACL: Spatially-Aware Contrastive Learning for Novel Class Detection in Remote Sensing Imagery |
| 11:30–11:45 | Sample-Stability-Guided Environmental Regime Discovery from Multivariate Satellite–Meteorological Time Series |
| 11:45–12:00 | CONFLUENCE: Does Cross-Scale Graph Attention Help Watershed Vegetation Forecasting? |
| 12:00–12:10 | EviDiff-ST: Reconstruction-Free Spatiotemporal Forecasting over Unobserved Regions |
| 12:10–12:20 | Where Does GeoAI Add Value in Crosswalk Mapping from Open Geospatial Data |
| 12:20–12:30 | Session 2 Q&A and open discussion |
| 12:30–14:00 | Lunch Break |
| 14:00–14:15 | GeoFM2Flow: Generating Human Mobility Flows from Geospatial Foundation Model Embeddings |
| 14:15–14:30 | GeoAI-Act: GeoAI-based Activity Inference from GPS Trajectories |
| 14:30–14:45 | Geospatial Optimization for Food and Beverage Facilities Considering Cross-Industry Integration: A Coffee Shop Case Study |
| 14:45–15:00 | Learning to Edit Geospatial Vectors: A Graph-Based Approach to Building Aggregation |
| 15:00–15:10 | No Safe Words: Building Shortcut-Resistant Safety Guardrails for Geographically Grounded Environmental Advice |
| 15:10–15:20 | Caminhante: A Location-Aware Contextual Chatbot for Interactive Hiking |
| 15:20–15:30 | Operationalising Shared Spatial Intelligence through TangibleGeoAI: An Experience–Encoding Mediation Loop for Participatory Planning Workshops |
| 15:30–16:00 | Coffee Break |
| 16:00–16:30 | Session 3 Q&A and closing remarks, attendee social |
From the workshop website; check there for last-minute changes.
The 5th ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications (GeoIndustry 2026)
Organizers: Emre Eftelioglu (Amazon), Yiqun Xie (University of Maryland), Jinmeng Rao (Google DeepMind), Song Gao (University of Wisconsin–Madison), Heba Aly (Amazon), Yan Li (Amazon)
Program
| 08:30–08:35 | Opening Remarks |
| 08:35–09:20 | Keynote: The Foundations of Urban Mobility Foundation Models |
| Session 1: Mobility & Spatio-Temporal Representation Learning | |
| 09:20–09:35 | Bringing GeoAI to the Planning Table: Engineering and Deploying TangibleGeoAI |
| 09:35–09:50 | Trustworthy Geospatial AI Workflows: Reproducible Maritime Analytics and Forecasting on Open-Source AIS Data |
| 09:50–10:00 | Trip-Purpose Inference with Location Trajectories and Short User Memos: Evaluating Multimodal Complementarity |
| 10:00–10:30 | Coffee Break |
| Session 2: Location Intelligence & Site Planning | |
| 10:30–10:45 | A Geospatial Network Planning Framework for Grocery Stores |
| 10:45–11:00 | Logistics-Oriented Dual-Radius Incremental Siting Model: A Case Study of Rougamo Outlets in Xi’an |
| 11:00–11:15 | Spatial Information as Proxy for Synthesizing Customer Brand Perception |
| 11:15–11:30 | What Survives a Matched Backtest? Auditing Spatiotemporal Evaluation Leakage in UK House Price Prediction |
| Session 3: Agentic & Explainable GeoAI | |
| 11:30–11:45 | Agentic AI Orchestration Framework for Spatial Intelligence: Supply Chain Deployment |
| 11:45–12:00 | GeoNatureAgent (GNA): A Framework and Benchmark for Pre-Production Evaluation of Tool-Using Agents on Geospatial and Environmental Tasks |
| 12:00–12:15 | A Multi-Agent Text-to-SQL Chatbot over Spatio-Temporal Transit Data |
| 12:15–12:30 | EXPERT-FR: Explainable AI for Emergency Response Time Prediction in Urban Fire Rescue Operations |
| 12:30–14:00 | Lunch Break |
| 14:00–14:45 | Keynote: City Intelligence: When Cars Write the Rules of the Road |
| Session 4: Routing & On-Demand Mobility | |
| 14:45–15:00 | Scalable Route and Shared-Stop Optimization for On-Demand Single-Destination Shuttles |
| 15:00–15:15 | Prompt-Configurable Vehicle Routing for Industrial Logistics |
| 15:15–15:30 | RHPS: A Production-Validated Marketplace Simulator for Spatial Decision-Making at Scale |
| 15:30–16:00 | Coffee Break |
| Session 5: Geospatial Data, Infrastructure & Spatio-Temporal Modeling | |
| 16:00–16:15 | The Circuity of North American Rideshare Trips |
| 16:15–16:30 | Intersection Is Not Enough: Bridging the Research–Practice Gap in Building Footprint Conflation |
| 16:30–16:45 | Reconstructing Missing Dwelling Area from Census Room Counts and Overhead Imagery for Residential Occupancy Modeling |
| 16:45–17:00 | ROS2 to GIS: An Interoperability Layer for Robotic Spatial Big Data Pipelines |
| 17:00–17:15 | Spatio-Temporal Dual Link Prediction from Hydrogen Bond Formation in Molecular Dynamics |
| 17:15–17:25 | Heat Exposure as a Routing Attribute: Integrating Satellite Thermal Layers into Trip-Planning Data Pipelines |
| 17:25–17:35 | The Rise of Personal Trackers as the Next Infrastructure for Ubiquitous Positioning |
| 17:35–17:55 | Panel Discussion |
| 17:55–18:00 | Closing Remarks |
From the workshop website; check there for last-minute changes.
The 2nd ACM SIGSPATIAL International Workshop on Quantum Computing and Quantum-Inspired Technologies for Spatial Data Systems and Applications (Q-Spatial 2026)
Organizers: Moustafa Youssef (American University in Cairo), Ibrahim Sabek (University of Southern California), Amr Magdy (University of California, Riverside)
Program
| 08:00–08:25 | Registration |
| 08:25–08:30 | Opening Remarks |
| 08:30–09:30 | Keynote: Fundamental Physics and Precision Measurements in Space |
| 09:30–10:00 | Quantum Awareness: Introduction to Q-World; Introduction to IEEE Quantum Week |
| 10:00–10:30 | Coffee Break |
| 10:30–12:30 | Paper Session Quantum Machine Learning for Satellite Trajectory Prediction: A 3-Axis Specialized Quantum Regressor — The Quantum Geometry® Grand Challenge: A Multiyear Prize and Benchmark Program for Quantum Computing in Geometry, CAD, GIS, and Meshing — The Hidden Cost of Quantum Spatial Computing: From Oracle Complexity to Circuit Complexity — Entanglement-Aware Adaptive Routing for Optimizing Distributed Quantum Computing over Quantum Interconnect Networks — Towards Quantum Range Query for Spatial-Temporal-Semantic Trajectory Data — |
| 12:30–13:30 | Lunch Break (on your own) |
| 14:00–15:00 | Keynote: Bridging Quantum Machine Learning and Spatial Systems: Harnessing Quantum Computing for Geographic and Spatial Applications |
| 15:00–15:30 | Invited Talks (Main Conference Guests) Quantum Optimization in Spatial Computing: A Vision — Quantum Spatial Regionalization — |
| 15:30–16:00 | Coffee Break |
| 16:00–16:15 | Invited Talk (Main Conference Guests) Geospatial Intelligence for Quantum Communication Networks — |
| 16:15–17:45 | Panel: Quantum Technologies in Spatial Computing: The Next Five-Year Horizon |
| 17:45–18:00 | Closing Remarks |
From the workshop website; check there for last-minute changes.
The 2nd ACM SIGSPATIAL International Workshop on Urban Mobility Foundation Models (UMFM 2026)
Organizers: Gengchen Mai (University of Texas at Austin & Google Research), Maria Despoina Siampou (Google Research & University of Southern California), Jinmeng Rao (Google DeepMind)
Program
| 08:50–09:00 | Opening Remarks |
| 09:00–09:50 | Keynote: From Population Dynamics Embeddings to Autonomous Planetary Prediction: Foundation Models and Agentic Reasoning in Google Earth AI |
| 09:50–10:00 | Break |
| Full Papers – Session A | |
| 10:00–10:15 | The Impact of Demographic and Home-Location Conditioning on Urban Mobility Generation |
| 10:15–10:30 | GAUGE: How Large Language Models Recover Mobility Descriptors from Individual Records |
| 10:30–10:45 | Street-Level Imagery as a Transferable Basis for Urban Mobility Prediction |
| 10:45–11:15 | Coffee Break |
| 11:15–11:45 | Industry Talk: Agentic Map Data Maintenance |
| Full Papers – Session B | |
| 11:45–12:00 | A Graph Neural Network Surrogate Model for Incident-Based Travel Time Prediction Under Limited Sensor Data |
| 12:00–12:15 | RectifiedTraj Revisited: An Expanded Evaluation of Map-Free Causal GPS Trajectory Denoising |
| 12:15–12:30 | Diagnosing Foundation-Model Transfer in Sparse Spatio-Temporal Allocation |
| 12:30–14:00 | Lunch Break |
| 14:00–14:30 | Research Talk: Beyond Prediction: Generate, Imagine, and Act with World Models for Mobility Networks |
| 14:30–15:00 | Industry Talk: Trajectory-Free Crowd Mobility Models in Practice |
| 15:00–15:30 | Coffee Break |
| Short Papers | |
| 15:30–15:40 | Long Trajectories, Fewer Points, Same Embeddings? |
| 15:40–15:50 | Road Generalization Using Stroke-Based Deep Reinforcement Learning |
| 15:50–16:00 | Activity-Space States: Towards State Representations for Mobility World Models |
| 16:00–16:10 | Seekr: Configurable Cognitive Scaffolding for Vision-Language Foundation Models in Embodied Navigation |
| Vision Papers | |
| 16:10–16:15 | Towards Routing Foundation Models for Commercial Vehicles |
| 16:15–16:20 | Simulation as Pretraining: Toward System-Level Foundation Models for Urban Mobility and Energy |
| 16:20–16:25 | Closing Remarks |
From the workshop website; check there for last-minute changes.
The 5th ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data (GeoSearch)
Organizers: Hao Li (National University of Singapore), Abhishek Potnis (Oak Ridge National Laboratory), Nicole Schneider (University of Maryland), Lukas Arzoumanidis (HafenCity University Hamburg), Martin Werner (Technical University of Munich), Wenwen Li (Arizona State University)
Program
| 09:00–09:10 | Opening Remarks |
| 09:10–09:30 | Co-Location Similarity Search with Semantic Constraints |
| 09:30–09:50 | Geolocalizing Videos from Place Name Mentions |
| 10:00–10:30 | Coffee Break |
| 10:30–11:00 | Keynote: Geo-knowledge Guided LLM Agent Frameworks for Complex Geospatial Question Answering |
| 11:00–11:20 | HadathSQL: Bringing Event Detection to SQL Databases |
| 11:20–11:40 | Rank-Range Region Query over Geo-Textual Data |
| 11:40–12:00 | Multilingual Spatial Keyword Search: The Scalability Opportunities and Challenges |
| 12:00–12:20 | Time Duration-constrained Spatial Range Search |
| 12:20–12:40 | Cache-Efficient Candidate Filtering for Geospatial Search with Spatial-Blocked Bloom Filters |
| 12:40–13:30 | Lunch Break |
| 13:30–13:45 | Multimodal Geospatial Retrieval for Knowledge Discovery: Component-Level Evidence from a Deployed Search System |
| 13:45–14:00 | Hierarchical In-Context Learning with LLM for Text Linking on Historical Maps |
| 14:00–14:15 | Graph-ENC Search: GNN-Based Retrieval of Safety-Relevant Nautical Chart Changes |
| 14:15–14:30 | When Satellite and Street Views Disagree: Cross-View Complementarity in Disaster Damage Assessment |
| 14:30–14:45 | AGQA: Administrative Geometry Question Answering (Demo) |
| 14:45–15:00 | Designing Systems for Spatial Information Search through Intent-Based Outcome Specification: Open Challenges and Opportunities |
| 15:00–15:15 | GeoLoss: A Spatial-Explicit Contrastive Loss Function for Visual Geolocalization |
| 15:15–15:30 | Best Paper Award and Group Photos |
| 15:30–16:00 | Coffee Break and Informal Networking |
From the workshop website; check there for last-minute changes.
The 1st ACM SIGSPATIAL Student Challenge on Open Agents with Spatial Intelligence for Social Good (OASIS 2026)
Organizers: Jinmeng Rao (Google DeepMind), Hongxu Ma (Google DeepMind), Neha Arora (Google Research), Lauren Bennett (Esri), Song Gao (University of Wisconsin-Madison), Wenwen Li (Arizona State University), Zhenlong Li (Pennsylvania State University), Krzysztof Janowicz (University of Vienna)
The workshop site lists the challenge as 08:30–16:50 but has not posted a detailed program.
The 4th ACM SIGSPATIAL International Workshop on Advances in Urban-AI (UrbanAI 2026)
Organizers: Haoran Niu (Oak Ridge National Laboratory), Hao Xue (The University of New South Wales), Femi Omitaomu (Oak Ridge National Laboratory), Liang Zhao (Emory University), Yanjie Fu (Arizona State University), Yao-Yi Chiang (University of Minnesota), Hiba Baroud (Vanderbilt University), Min Namgung (University of Minnesota), Yijun Lin (University of Minnesota)
Program
| 09:00–09:10 | Opening Remarks |
| Session I — Urban Traffic and Transport Analytics | |
| 09:10–09:25 | Adapting a Large Language Model Crash-Severity Pipeline to Tennessee: Performance Across Sampling Strategies |
| 09:25–09:40 | Scalable Origin-Destination Travel Time Estimation via Landmark Approximation and Neural Residual Correction |
| 09:40–09:55 | High-Resolution Citywide Traffic Speed Estimation from Bus Probes Observations with a Gated Dual-Branch GCNN |
| 09:55–10:10 | Causal Machine Learning Analysis of How Ride-Hailing Uses Electric vs. Gasoline Vehicles |
| 10:10–10:25 | Illegal Parking Prediction with Street-View Visual Semantics and Spatio-Temporal Graph Learning |
| 10:25–10:40 | Coffee Break |
| Session II — Urban Mobility, Navigation and Digital Twins | |
| 10:40–10:55 | Constraint-Guaranteed Discrete Diffusion for the Completion of Urban Itineraries |
| 10:55–11:10 | Learning Direction-Aware Metro Demand Graphs from Floor-Level Building Semantics |
| 11:10–11:25 | Barometric-Assisted Real-Time Map Matching at Multilevel Venues |
| 11:25–11:40 | Simulation-Driven Vehicular Traffic Data Augmentation Through Virtual Sensing |
| 11:40–11:50 | Living Urban Digital Twins: Agentic and Neuro-Symbolic AI for Semantic 3D City Modeling |
| 11:50–13:30 | Lunch Break |
| Session III — Urban Governance, Planning and Spatial Data | |
| 13:30–13:45 | From Regional Mobility Demand to Downtown Traffic: Data-Grounding and Conversational Analytics for Urban Simulation |
| 13:45–14:00 | UrbanAdmit: An Evidence-to-Action Governance Framework for Urban AI |
| 14:00–14:15 | Beyond the City-Wide Score: Disaggregating GeoAI Building Footprint Accuracy by Urban Form |
| 14:15–14:30 | Freeze, Validate, Report: Auditing Urban Station Plans with Common Evidence |
| 14:30–14:45 | AI for Urban Buildability: An Atlanta Zoning Case Study on Where Citation-Bound Verification Fails |
| 14:45–15:00 | Coffee Break |
| Session IV — Urban Resilience, Infrastructure and Emerging AI | |
| 15:00–15:15 | Spatial Suitability and Agentic AI Framework for Floating Nuclear Power Plants in the Northeastern U.S. |
| 15:15–15:30 | A Scalable AI Platform for Hyperlocal Urban Heat Mapping |
| 15:30–15:45 | Spatially transferable reinforcement learning for on-demand drone delivery dispatching and repositioning |
| 15:45–16:00 | Toward Emotion Deepfake Detection for Urban Emergency Communications: A Multi-Representation Study on EmoFake |
| 16:00–16:15 | Municipal Housing Condition Assessment Automation Using Deep Learning |
| 16:15–16:25 | Coupling AI and Physics-based Models for Climate Risk: An Urban Flood Perspective |
| 16:25–16:30 | Closing Remarks |
From the workshop website; check there for last-minute changes.
Half-Day Workshops
The 3rd ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection (GeoAnomalies 2026)
Organizers: Peer Kroger (University of Kiel), Joon-Seok Kim (Emory University), Khurram Shafique (Novateur), Carola Wenk (Tulane University), Andreas Zufle (Emory University)
Program
| 15:30–15:35 | Opening Remarks |
| 15:35–16:25 | Keynote: What Mobility Anomaly Detectors See Depends on Context |
| 16:25–16:45 | Coffee Break |
| 16:45–17:03 | SF-ANOMALIES: A Mobility Dataset for Behavioral and Contextual Anomaly Detection |
| 17:03–17:21 | DeTraj: A Trajectory Degradation Module for Robust Geospatial Anomaly Detection |
| 17:21–17:39 | LIAD: Lightweight Interpretable Mobility Anomaly Detection via Agent-Adaptive Behavioral Deviations |
| 17:39–17:51 | Agentic-LIAD: Multi-Agent Reasoning over Behavioral Evidence for Mobility Anomaly Detection |
| 17:51–18:09 | Compactness-Based Shape Profiles for Anomaly Detection in Spatial Features |
| 18:09–18:15 | Closing Remarks |
From the workshop website; check there for last-minute changes.
The 2nd ACM SIGSPATIAL International Workshop on Geospatial Computing for Public Health (GeoHealth 2026)
Organizers: Taylor Anderson (George Mason University), Su Yeon Han (Texas State University), Joon-Seok Kim (Emory University), Hao Xu (Hong Kong University of Science and Technology), Andreas Zufle (Emory University)
Program
| 12:00–12:06 | Opening Remarks |
| 12:06–12:18 | Spatial Accessibility and Heat Vulnerability for Cooling-Center Planning in New York City |
| 12:18–12:30 | Beyond Distance and Time: Health-Aware Urban Mobility for Vulnerable Populations |
| 12:30–13:30 | Lunch (on your own) |
| 13:30–13:48 | Fleet Capacity and Operational Coverage in Autonomous Transportation for Rural Healthcare Access |
| 13:48–14:06 | Human Mobility Networks and COVID-19 Prediction: a Feature-aware Weighted Preferential Attachment approach and a Case Study for New York State |
| 14:06–14:56 | Keynote: Spatial Optimization to Maximize Child Survival Through Redistribution of Care and Prioritized Upgrades to Emergency Department Pediatric Readiness |
| 14:56–15:14 | Towards Developing a Geospatially-Aware Explainable Non-Communicable Disease Prevention Chatbot |
| 15:14–15:26 | A Mobility-Aware Synthetic Dataset for Wastewater Epidemiology: Simulating Where and When People Poop |
| 15:26–15:30 | Closing Remarks |
From the workshop website; check there for last-minute changes.
The 9th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation (GeoSim 2026)
Organizers: Joon-Seok Kim (Emory University), Licia Amichi (Oak Ridge National Laboratory), Taylor Anderson (George Mason University), Andreas Zufle (Emory University)
Program
| 08:00–08:05 | Opening Remarks |
| 08:05–08:15 | When Mobility Data Gets Noisy: The Need for Simulating Realistic Noise Models |
| 08:15–08:35 | Editable Map-Conditioned Trajectory Generation for Human Mobility Simulation |
| 08:35–08:50 | GeoRecSim: A Multi-Agent Testbed for Recommender System Design |
| 08:50–09:10 | GeoTrack: Projective Trajectory Mapping in Ego-Centric Geosimulation |
| 09:10–09:25 | Geosimulation by Illusion: an Anchorpoint Hypothesis for Redirected Walking Through Expansive Virtual Geographies |
| 09:25–09:45 | Simulating Public Transit Fare Policies in NYC: An Efficient, Socioeconomic-Aware Framework |
| 09:45–10:00 | GeoScout: A Conversational Agentic GeoAI Framework for Spatial Decision Support in Methane Leak Detection and Repair |
| 10:00–10:30 | Coffee Break |
| 10:30–11:20 | Keynote: Toward Global-Scale AI-Driven Digital Twins of Earth's Land Ecosystems |
| 11:20–11:35 | Persistent Geospatial Outage Scenario Construction for Interdependent Infrastructure Simulation |
| 11:35–11:55 | Configuration in Finite-Sample Redistricting Ensemble Inference: A Texas Case Study |
| 11:55–12:00 | Closing Remarks |
From the workshop website; check there for last-minute changes.
The 4th ACM SIGSPATIAL International Workshop on Human Mobility Prediction (HuMob 2026)
Organizers: Takahiro Yabe (New York University), Kota Tsubouchi (LY Corporation), Toru Shimizu (LY Corporation)
Program
| 09:00–09:10 | Welcome & Opening |
| 09:10–09:20 | About the HuMob 2026 Dataset |
| 09:20–09:35 | Post-Disaster OD Flow Reconstruction via Calendar-Aware Bridging and Flow-Difference Completion |
| 09:35–09:50 | Multiple Calibration for Post-Disaster Origin–Destination Reconstruction |
| 09:50–10:05 | ReBOUND: Reconstructing Post-Disaster Dynamic OD Flows with a Boundary-Guided Mixture of Experts |
| 10:05–10:30 | Coffee Break |
| 10:30–10:45 | Reconstructing Post-Disaster Mobility with Local Activity Levels and Temporal Patterns |
| 10:45–11:00 | Combining Statistical and Machine Learning Approaches for Post-Disaster Human Mobility Prediction |
| 11:00–11:15 | Look Both Ways: Reconstructing Two Hidden Months of Post-Earthquake Mobility |
| 11:15–11:30 | Break |
| 11:30–11:45 | Long-Gap OD Flow Reconstruction using a Heterogeneous Model Ensemble |
| 11:45–12:00 | Reconstructing Post-Earthquake Mobility with Temporal Gaussian Processes and OD Flow Structure |
| 12:00–12:15 | Metric-Aware Imputation of Post-Disaster OD Flows |
| 12:15–12:20 | Closing |
From the workshop website; check there for last-minute changes.
The 2nd ACM International Workshop on Polar Data Science (PolDS 2026)
Organizers: Josephine Namayanja (University of Maryland, Baltimore County), Sahara Ali (University of North Texas), Chhaya Kulkarni (Towson University), Ratnaksha Lele (University of Maryland, Baltimore County), Devon Dunmire (University at Buffalo)
Program
| 08:30–08:35 | Opening Remarks |
| 08:35–09:20 | Keynote: POLARIS: An Interactive and Scalable Data Infrastructure for Polar Science |
| 09:25–10:20 | Accepted Paper Presentations (session chair: Emam Hossain) Uncertainty-Aware Sea-Ice Type Mapping with Multiple Ice Charts — How Temporal Coverage and Reconstruction Shape Greenland Glacier Retreat Forecasting — |
| 10:25–10:40 | Break and Group Photo |
| 10:45–11:30 | Talk: A Planet Covered in Pixels: What Scalable Raster Analysis Can Uncover |
| 11:35–12:20 | Accepted Paper Presentations (session chair: Samira Alkaee Taleghan) Supraglacial Lake Fate Is Knowable Long Before the Season Ends — LLM-based Causal Discovery from Scientific Literature — |
| 12:25–12:30 | Closing Remarks |
From the workshop website; check there for last-minute changes.
The 2nd ACM SIGSPATIAL International Workshop on Spatial Intelligence for Smart and Connected Communities (SpatialConnect 2026)
Organizers: Guang Wang (Florida State University), Xinyue Ye (University of Alabama), Yu Yang (Lehigh University), Yi Ding (University of Texas at Dallas)
The workshop site has not posted a detailed program.