I-GUIDE Forum 2026 & Harnessing the Data Revolution (HDR) Ecosystem Conference
AI & Science: From Geospatial to Convergence
Student Center West, University of Illinois Chicago
Chicago, Illinois, USA
August 3-7, 2026
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Call for Participation
The 2026 I-GUIDE Forum will focus on AI & Science: From Geospatial to Convergence. The three-day Forum, consisting of workshops and tutorials, presentations, posters, and panels will take place immediately prior to the Harnessing the Data Revolution (HDR) Ecosystem Conference (August 5-7, 2026). This coordination will allow participants in the I-GUIDE Forum to take advantage of the momentum, energy, and synergy of several hundred attendees of both events gathering to explore solutions to the most significant scientific challenges! The sessions during the I-GUIDE Forum 2026 will focus on the following key themes.
Key Themes
- Frontiers in Convergence Science – Addressing challenges and opportunities of convergence science using geospatial knowledge and integrative approaches
- Spatial AI & Data Science – Advancing frontiers of spatial AI and data science for real-world solutions
- CyberGIS & Cyberinfrastructure Innovation – Enabling high-performance, scalable spatial analysis
- Education & Workforce Development – Preparing the next generation of spatial AI and data science professionals
- Frontiers in Convergence Science: Papers in this track focus on advances in convergence science that address complex challenges across various spatial and temporal scales. Topics of interest include, but are not limited to:
- Aging infrastructure
- Disaster prediction and resilience
- Food, energy, and water nexus
- Global to local analysis of sustainability
- Telecoupling in social and environmental systems
- Spatial AI and Data Science: Papers in this track focus on new algorithms, methods, models, and theories for harnessing heterogeneous spatial data to solve real-world problems. Topics of interest include, but are not limited to:
- Data-intensive spatial analytics
- Explainable spatial AI for convergence science
- Spatial data ethics
- Spatial data fusion for AI models
- Spatial foundation models
- Intelligent spatial decision support
- Uncertainty quantification in spatial AI
- Agentic AI for spatial workflows
- Reasoning models for spatial tasks
- CyberGIS and Cyberinfrastructure Innovation: Papers in this track focus on innovative cyberGIS and cyberinfrastructure software, systems, and tools for enabling scalable solutions to convergence science problems. Topics of interest include, but are not limited to:
- Geospatial cloud and edge computing
- Geospatial decision support systems
- Geospatial middleware
- Geospatial problem solving environments
- High-performance geospatial computing
- New frontiers in cyberGIS
- Reproducibility and replicability of data-intensive geospatial analytics
- Education and Workforce Development: Papers in this track explore how recent advances in convergence science, cyberinfrastructure, spatial AI, and geospatial data science can be integrated into new learning modalities and resources. Innovative ideas for supporting the development of a proficient and future-ready workforce are sought. Topics of interest include, but are not limited to:
- Convergence curricula focused on spatial AI and data science
- Education advances in spatial data-intensive sciences
- Spatial AI and data science curriculum
- Open educational resources
All submissions of short papers or abstracts for presentations, posters, workshops, or tutorials should be made through the easychair https://easychair.org/conferences/?conf=iguideforumhdr2026. The submission deadline is Apr 16, 2026.