Contribute your research to the SIGGIS Mini-Track at AMCIS 2025.
Leveraging GeoAI: Location Analytics and Intelligent Technologies Shaping a Better Future
In the era of intelligent technologies, researchers and practitioners are increasingly harnessing multi-dimensional geospatial data with AI to address complex challenges. With advancements in Location Analytics and GeoAI, the potential for impactful tools to shape industries and communities is growing rapidly. A suite of collaborative geospatial technologies is emerging, offering not only enhanced data sharing but also the ability to drive innovation across sectors. Understanding these technologies’ potential, particularly in the context of spatial data science and analytics, is crucial. This mini-track will explore these developments, focusing on how intelligent technologies such as Location Analytics and GeoAI are transforming data management and decision-making for a better future.
As such, papers are solicited across topics such as, but not limited to:
- Innovation and collaboration using geospatial platforms and analytics,
- Geospatial AI with Machine Learning and Deep Learning,
- Geospatial big data management and analytics,
- Geospatial data mining and knowledge discovery,
- Geospatial decision making and knowledge management, and
- Emerging areas of geospatial analytics.
Mini-Track Chairs:
Daniel Farkas, Pace University, dfarkas@pace.edu
James B. Pick, University of Redlands, James_Pick@redlands.edu
Avijit Sarkar, University of Redlands, Avijit_Sarkar@redlands.edu
Namchul Shin, Pace University, nshin@pace.edu
Asish Satpathy, Arizona State University, asish.satpathy@asu.edu
Michael Erskine, Middle Tennessee State University, michael.erskine@mtsu.edu
Anthony Corso, California Baptist University, acorso@calbaptist.edu