Demos

ACM SIGSPATIAL 2026 Call for Papers - Demonstration Track

Submission link: https://easychair.org/conferences/?conf=sigspatial2026demo

Overview

The thirty-fourth ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2026 (ACM SIGSPATIAL 2026) will be held in Riverside, California, USA, in November 2026. The conference invites submissions for the Demo Track. This track provides an opportunity for researchers, practitioners, and developers to showcase working prototypes, novel systems, and real-world applications related to geospatial information systems and technologies. Demos allow attendees to experience interactive and innovative spatial computing solutions firsthand.

Demonstrations should highlight research contributions through practical implementation and should be engaging, interactive, and appealing to a broad audience. We especially encourage demonstrations that showcase novel applications of Spatial AI, Geospatial Analytics, Spatial Computing, Real-Time Data Processing, Visualization, and Innovative Geospatial Solutions.

Important Dates

• Paper Submission: June 28th, 2026, 11:59 PM Pacific Time
• Notification of Accept/Reject: July 29th, 2026, 11:59 PM Pacific Time
• Camera-ready Submission: August 12th, 2026, 11:59 PM Pacific Time

Why Submit a Demo?

• Gain valuable feedback from experts in geospatial AI, GIS, and spatial computing.
• Network with researchers, industry leaders, and potential collaborators.
• Increase visibility for your work through interactive exposure.
• Compete for Best Demo Awards, recognizing the most innovative and impactful contributions!

Categories of Demo Papers

We encourage submissions in a diverse range of categories, including but not limited to:

• Research Prototypes: Early-stage systems demonstrating novel geospatial computing techniques.
• Industry Applications: Practical solutions developed for commercial or governmental use.
• Educational Tools: Interactive platforms for geospatial education and training.
• Benchmarking and Performance Analysis: Systems that evaluate and compare spatial computing techniques.
• Citizen Science and Crowdsourcing: Applications leveraging public participation for geospatial data collection.
• Visualization and User Experience: Demonstrations focused on geospatial UI/UX innovations.

Topics of Interest

We welcome demo submissions from all areas of geospatial computing and applications, including but not limited to:

Spatial AI

• Generative AI for spatial reasoning and simulation
• Spatial and spatio-temporal foundation models
• Causal reasoning in space and time
• Spatial machine learning and explainability
• Privacy and ethics in spatial computing
• Spatial and spatio-temporal reasoning in robotics
• Agentic GeoAI
• Trustworthy and responsible GeoAI
• Spatial and spatio-temporal Retrieval Augmented Generation (RAG) Techniques
• Spatial representation learning, encoding, and grounding methods for multi-modal data
• Evaluation benchmarks for foundation models
• Safety, hallucination control, and uncertainty quantification in spatially grounded foundation models

Spatial Computing Systems and Big Spatial Data Infrastructure

• Spatial and spatio-temporal analysis
• Query processing and optimization
• Spatial data mining, pattern analysis and knowledge discovery
• Spatio-temporal data management
• Spatial decision support
• Spatial data quality and uncertainty
• Geo-entity linkage, geo-enrichment
• Distributed and parallel algorithms
• Geospatial architectures and middleware
• GPU and novel hardware solutions
• Cloud and edge spatial data platforms
• Spatial vector databases
• Spatial graph data management and analysis
• Unified relational/graph/vector architectures for spatial retrieval-augmented generation

Pervasive Spatial Computing and Internet of Spatial Things

• Localization and tracking indoors/outdoors
• Contact tracing
• Location-based services
• Spatio-temporal sensor networks
• Traffic telematics
• Mobile systems and vehicular ad hoc networks
• Edge spatial computing systems and on-device intelligence
• Virtual/Augmented/Mixed reality for spatial computing
• Spatial computing in autonomous vehicles
• Cyber-physical systems and their applications in spatial computing

Spatial Data Acquisition, Integration, and Processing

• Standardization and semantic interoperability
• Earth observation and satellite data processing
• Computational geometry and computer graphics
• Spatial scene understanding and spatial awareness in images and videos
• Spatial, geo-social and trajectory simulation
• Spatio-temporal stream processing
• Governance and cross-organization spatial data sharing
• Spatial knowledge graphs
• Multi-modal spatial computing and data fusion
• Space and planetary mapping

Spatial Search

• Geographic information retrieval
• Human-computer interaction and visualization for spatial systems
• Similarity searching
• Spatial data structures and algorithms
• Spatial modeling and reasoning
• Spatio-textual searching
• Natural language interfaces and conversational search over spatial data

Spatial Intelligence for Society

• Intelligent transportation and sustainable mobility
• Epidemiology and health
• Cyber and physical security
• Smart cities and spaces
• Urban data and planning
• Geospatial computer vision applications
• Location business intelligence
• Personalized geospatial recommendation systems
• Environmental, climate, and natural systems
• Agricultural, food, and water systems
• Defense, intelligence, and public safety
• Utilities and urban infrastructure
• Geo health and epidemiology
• Industrial applications

Quantum Spatial Computing and Technologies

• Quantum computing for spatial data and applications
• Hybrid quantum-classical pipelines for spatial computing applications
• Quantum simulations for spatial systems and phenomena
• Quantum machine learning for spatial applications
• Quantum-inspired spatial indexing and search
• Quantum spatial databases
• Quantum sensing for spatial data and applications
• GPS-free quantum navigation technologies
• Benchmarks and empirical studies for quantum technologies on spatial workloads

Digital Twins in Spatial Computing Systems

• Urban, regional, and planetary digital twins
• Earth systems digital twins for climate, hazards, hydrology, and Earth ecosystem dynamics
• Facility digital twins for buildings, campuses, utilities, and industrial assets
• Mobility digital twins for flows of people, vehicles, goods, and services
• Human-centric and socio-economic digital twins for human services, social systems, health systems, transportation systems, and livability.
• Digital twin platforms

Submission Guidelines

Page limits: Up to 4 pages (including references).

Paper titles: Demo track papers should contain their type as a suffix in the title: [Demo]. For example: 'Spatial navigation systems on Mars [Demo]'. If the paper is accepted, the suffix will not be part of the camera-ready copy.

Authors: ACM SIGSPATIAL 2026 is a single-blind conference; therefore, the names and affiliations of the authors should be listed in the submitted version. The author list is considered final after the submission deadline, and no changes, including the author order, are allowed to accepted papers.

Formatting Templates. Manuscripts should be submitted in PDF format and formatted using the ACM camera-ready templates available at http://www.acm.org/publications/proceedings-template. ACM SIGSPATIAL uses the Conference Proceedings Primary Article template with a two-column format. Alterations to the template, especially to gain more space, will be grounds for desk rejection without further technical review.

All papers should be submitted through EasyChair using the following link: https://easychair.org/conferences/?conf=sigspatial2026demo

Conflict, Authorship, and Content

ACM Policy on Authorship: Authors should review and follow the ACM Policy on Authorship, which includes guidelines on the use of generative AI software tools for manuscript writing. In particular, the authors are responsible for all submitted manuscripts and should disclose the use of AI software tools in the paper. Generative AI tools and technologies, such as ChatGPT, may not be listed as authors of an ACM-published work. The use of generative AI tools and technologies to create content is permitted but must be fully disclosed in the Work. For example, the authors could include the following statement in the Acknowledgements section of the Work: ChatGPT was utilized to generate sections of this Work, including text, tables, graphs, code, data, citations, etc. PC Chairs reserve the right to desk-reject a paper without review if the use of AI software tools is not marked appropriately.

ACM Policy on Conflict of Interest: As part of the submission, you will be asked to mark your conflict of interest with the Program Committee members. Authors should review the Conflict of Interest Policy for ACM Publications to decide if there is a conflict of interest. In summary, the following is a non-comprehensive list of examples of COI:

• All PhD advisors/advisees regardless of the graduation date.
• All current co-workers or a co-worker in the past 24 months. A co-worker is a person working at the same institution as one of the authors, whether or not they actively collaborate. Short-term affiliations, such as a summer internship or short visits, do not result in an institutional COI with all co-workers. However, the mentor and other collaborators are still marked.
• Any co-author of a research paper in the last 24 months, regardless of whether the paper was peer-reviewed or not, e.g., white papers or arXiv papers also count. Community papers that have a large number of authors and do not stem from a specific research project do not constitute a COI, e.g. the reports titled "Towards Mobility Data Science" and "Diversity and Inclusion Activities in Database Conferences: A 2021 Report" do not by themselves result in a COI.
• A research collaborator in the past 24 months, whether or not this collaboration resulted in a publication.
• Close friends or relatives.

When in doubt, please contact the Program Committee Chairs or mark any potential conflicts on the submission website and include a note explaining why you believe they should be flagged. The Program Committee Chairs will review them and decide how to use that information. PC Chairs reserve the right to desk-reject a paper without review if COIs are not marked appropriately.

Note on EasyChair: EasyChair does not have a mechanism to indicate that a paper has no COIs. If you confirm that there are no conflicts, then you do not need to submit the COI form.

ACM Policy on Inappropriate Content: ACM Publications cannot be used to propagate political or religious views or denigrate individuals or groups of people. See https://www.acm.org/publications/policies/inappropriate-content-policy

Accepted Papers, Registration and Presentation. Papers accepted for ACM SIGSPATIAL 2026 will be published in the ACM Digital Library under the Proceedings of the 34th ACM International Conference on Advances in Geographic Information Systems. Upon the paper acceptance, the contact author(s) will receive detailed instructions on how to prepare and submit the camera-ready copy of the accepted paper. Each accepted paper must have a separate paid author registration (i.e., an author cannot pay a single registration for more than one paper), and one author must attend the conference in person to present the accepted submission in the form of a short lightning talk for demo presentation. Otherwise, the accepted submission will not appear in the conference proceedings. In particular, a demo presentation must be an interactive demonstration of an actually running system and cannot be replaced with a poster or slides.

Important Note on ACM OPEN

Starting January 1, 2026, ACM will fully transition to Open Access. All ACM publications, including those from ACM-sponsored conferences, will be 100% Open Access. To sustain this approach, ACM will charge Article Processing Charges (APCs) for certain types of manuscripts, listed on https://libraries.acm.org/acmopen/article-types.

For the Demonstration Track: According to ACM policy, demonstration papers are not eligible for APCs. Authors of accepted demo papers DO NOT need to pay APCs to have their papers published in the Open Access proceedings.

Contact Information

For any questions regarding demo submissions, please contact the Demo Track Chairs:

• Yanjie Fu, Arizona State University, USA
• Jinmeng Rao, Google DeepMind, USA

We look forward to seeing your innovative geospatial demonstrations at ACM SIGSPATIAL 2026!