AI & Space

AI & Space

Scheduled: 26. 09. 2025

Artificial intelligence and space exploration represent two of humanity's most ambitious technological frontiers. As we venture deeper into space and develop increasingly sophisticated AI systems, the convergence of these domains creates unprecedented opportunities for scientific discovery, technological innovation, and addressing the complex challenges of space missions. Recent advancements in machine learning, computer vision, natural language processing, autonomous systems, and data analytics have already begun transforming how we conceptualize, plan, and execute space exploration initiatives. The event will take place from September 26, 2025.

The AI & Space tracks of the International Conference AI for SCIENCE 2025 aims to bring together researchers, engineers, industry professionals, and policymakers to explore the current state, emerging trends, and future possibilities at the intersection of AI and space technologies. This multidisciplinary forum will facilitate knowledge exchange, foster new collaborations, and inspire innovative approaches to some of the most pressing challenges in space exploration through the application of artificial intelligence.


Submission Guidelines

We welcome description of case studies, review articles, and position papers that address theoretical foundations, practical applications, or policy implications of AI in space contexts. All submissions will undergo peer-review process evaluating scientific merit and relevance to the symposium themes. The symposium particularly encourages interdisciplinary approaches and collaborations between AI researchers and space domain experts.


Contributions are expected under the shape of extended abstract with a length from 1 to 4 pages in LNCS format (the same format of the main conference) including figures, tables, and references. The submissions is also opened to recent scientific advances that have already been published in related conferences and journals. For this latter case, acceptance criteria will also take into account the publication date (cutoff date—up to 18 months old) and the quality of the conference venue or journal.


Join us as we explore the exciting frontier where artificial intelligence meets space exploration, shaping the future of humanity's journey beyond Earth and our understanding of the cosmos.


Topics of Interest:

  • Autonomous Space Systems: Spacecraft autonomy, robotic exploration, autonomous navigation and decision-making in space environments
  • Earth Observation and Remote Sensing: AI methods for satellite imagery analysis, climate monitoring, planetary science, foundational models, and EO AI applications
  • Space Mission Planning and Operations: AI for mission design, resource optimization, and risk assessment
  • Human-AI Collaboration in Space: Astronaut assistance systems, human-robot interaction, and cognitive support tools
  • Space Data Analytics: Big data processing, anomaly detection, and predictive analytics for space missions
  • Deep Space Communication: AI-enhanced communication systems, delay-tolerant networking, and intelligent data transfer
  • Satellite Constellation Management: Distributed AI systems, swarm intelligence, and coordination algorithms
  • Space Resource Utilization: AI for prospecting, extraction, and utilization of extraterrestrial resources
  • Space Situational Awareness: Object detection and tracking, collision avoidance, and space traffic management
  • AI Ethics and Governance in Space: Policy frameworks, international cooperation, and responsible AI deployment in Space
  • AI@Edge: Processing EO data in Space

  • Important Dates

  • 15. 7. 2025 - Paper/abstract submission deadline
  • 21. 7. 2025 - Notification of acceptance
  • 25. 7. 2025 - Camera-ready version and Author registration deadline
  • Keynote Speakers

    Program Chairs

  • Dino Ienco, National Institute of Agricultural Research
  • Krištof Oštir, University of Ljubljana
  • Program Commitee

  • Jocelyn Chanussot — INRIA, France
  • Claudia Paris — University of Twente, Netherlands
  • Sylvain Lobry — University of Paris Cité, France
  • Roberto Interdonato — CIRAD, France
  • Diego Marcos Gonzalez — INRIA, France
  • Žiga Kokalj — ZRC SAZU, Slovenia
  • Dragi Kocev — Bias Variance Labs, Slovenia
  • Luka Čehovin Zajc — UL FRI, Slovenia
  • Francesca Bovolo — Fondazione Bruno Kessler, Italy
  • Marieke Wesselkamp —University of Freiburg, Germany
  • Manuela Hirschmugl - University in Graz, Austria
  • Roland Perko - Joanneum Research, Austria
  • Submission Link