GeoAI Camp Prague 2025 soon!

The GeoAI Camp Prague 2025 is scheduled to take place on 27–28 January 2025 at the Czech Institute of Informatics, Robotics and Cybernetics (CIIRC CTU) in Prague. This event is a collaborative effort between Plan4all, the European Digital Innovation Hub at the Czech Technical University in Prague (EDIH CTU), the Faculty of Information Technology at CTU (FIT CTU), and RICAIP.

It aims to unite geospatial experts, AI practitioners, and interdisciplinary research teams to foster innovation in Geospatial Artificial Intelligence (GeoAI).

The camp’s primary objective is to encourage the exchange of experiences, ideas, and the initiation of joint development of GeoAI solutions with broad applicability and European relevance. Participants will have the opportunity to collaborate on projects that integrate AI with spatial data, enhancing the accuracy, efficiency, and applicability of geospatial solutions across various domains, including environmental monitoring, disaster response, infrastructure management, and urban planning.

The event will commence with a 45-minute keynote focusing on the integration of GeoAI with Generic AI and Large Language Models (LLMs), outlining a vision for the future of GeoAI and its synergy with emerging AI technologies.

Following the keynote, there will be a series of five-minute pitch presentations where attendees can introduce potential solutions, ongoing projects, or areas of interest. Subsequently, participants will have dedicated time to form ad-hoc teams for coding and networking, culminating in final presentations to showcase their results.

Several ongoing projects and technologies will be highlighted during the camp, including JackDaw, an AI-driven geospatial tool aimed at enhancing spatial data analysis and decision-making, and ALIANCE Project Solutions, which focuses on precise weather forecasting and cloud removal technology to improve satellite imagery.

Experts specializing in Large Language Models (LLMs) are also invited to contribute, as their expertise can enhance GeoAI applications, particularly in data interpretation, automated analysis, and decision-support systems.