Dear colleagues,
You are cordially invited to submit research papers to the GeoArtificial Intelligence (GeoAI), Location Analytics, and GIS in the System Sciences Minitrack at the Hawaii International Conference on System Sciences (HICSS-59, Maui HI, Jan 6-9, 2026). This new minitrack continues the work of the Location Intelligence Special Track at HICSS in previous years (2021-25).
The GeoAI, Location Analytics, and GIS in the System Sciences Minitrack seeks scholarly research papers that apply a variety of theories, methods (qualitative and quantitative), and empirical techniques from various disciplines including Geography, Geographic Information Science, Information Systems, Decision Sciences, Statistics, etc., to highlight the importance of incorporating location, geography, and related data into the system sciences.
There is a need to develop new theories and amend existing ones for the systems sciences that incorporate spatial data, locational intelligence, and geographical concepts. Current concepts of data science, big data, trust, and privacy need to draw attention in addressing locational intelligence research questions.
Research papers focusing on theory development, methodological innovations, empirical contributions, qualitative studies, and case studies are solicited across a broad range of topics, including but not limited to:
Theoretical Advancement and Methodological Innovations
- FAIR principles in GeoAI: Interpretations of Findability, Accessibility, Interoperability, and Reusability (FAIR) principles in GeoAI Research.
- Methodological Innovations: Theories and methods that enhance space-time modeling, spatial optimization, geospatial generative AI, spatial data science (spatial statistics, spatial data mining, spatial machine learning, spatial deep learning), and social media analytics.
- Novel Theories and Applications of Geo-Blockchain technology, Indoor Positioning Systems, Location Tracking, Wayfinding, and Geospatial Digital Twins
- Location Data Privacy and Security: Research on concepts and problems of locational data privacy, security, reliability, transparency, and trustworthiness of GeoAI.
- Innovative Governance and policymaking for GeoAI, Location Analytics, and GIS.
Applications of GeoAI, Location Analytics, and GIS
- Spatial Business: Analyses that address a range of business functions, including marketing, customer relations, operations, logistics, supply chain, asset and risk management, corporate social responsibility.
- Geospatial Big Data and Commercial Services: Analyses that explore the advancements in geospatial big data for business functions, including analysis of customer mobility, consumer preferences, change detection, in store behavior analysis, variety and price optimization, product placement design, improve performance, labor inputs optimization, and distribution and logistics optimization.
- Geospatial Big Data and the Public Sector: Analyses that explore the use of geospatial big data for improving transportation, accessibility, social services, service delivery, and policy decision-making.
- Geospatial Big Data and Personal Location Data: Research related to indoor and outdoor individual location tracking including massive mobile data (MMD).
- Imagery Analysis: Analysis of imagery using GeoAI for pattern recognition, change detection, and decision-making in a variety of scenarios.
Societal Impact of GeoAI, Location Analytics, and GIS
- Public Health and Healthcare: Analyses that address locational dimensions of health, healthcare delivery, healthcare accessibility and equity issues, patient profiling, personalized medicine, and disease pattern identification.
- Climate Action: Analyses that address climate change, resilience, adaptation, environmental sustainability (climate, water, energy, and agriculture, as described by the United Nations SDGs), and environmental justice issues.
- Smart Cities: Urban issues including patterns of urban mobility, change detection, and integrating GIS into smart cities for sustainable and resilient infrastructure development
- Bridging Digital Divides: Study and analysis of geographic patterns and disparities in adoption, diffusion, use, and impacts of information and communication technologies (ICTs), including the internet.
- Industry Clusters and Economic Development: Analyses that address spatial aspects of economic development and community impacts, including infrastructure, workforce, automation, environmental impacts, and social inequalities.
- Gig Economy: Location patterns of the Gig Economy, including geospatial analysis of collaborative consumption-based platforms, markets, and models.
- Public Safety and Disaster Management: Studies of systems using GIS, GeoAI, and locational analytics for disaster mitigation, crisis management, crime analysis, and community risk and resilience.
Important Dates for Paper Submission
June 15, 2025 | 11:59 pm HST: Paper submission deadline
August 17, 2025 | 11:59 pm HST: Notification of acceptance/rejection
September 22, 2025 |11:59 pm HST: Deadline for authors to submit final manuscript for publication
October 1, 2025 | 11:59 pm HST: Deadline for at least one author of each paper to register
** Author Instructions**
HICSS accepts full papers only; abstract submissions are not accepted. Find instructions for authors at https://hicss.hawaii.edu/authors/.
You can find papers published in the Location Intelligence track (2021-25) here.
We encourage you to submit your paper to the GeoAI, Location Analytics, and GIS in the System Sciences Minitrack at HICSS-59 (2026).
Do not hesitate to reach out to the minitrack co-chairs if you have any questions.
Sincerely,
Avijit Sarkar (Primary Contact)
University of Redlands
avijit_sarkar@redlands.edu
James Pick
University of Redlands
james_pick@redlands.edu
Joseph Aversa
Toronto Metropolitan University
javersa@torontomu.ca
Namchul Shin
Pace University
nshin@pace.edu
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Avijit Sarkar
Professor
University of Redlands
Redlands CA
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