Call for Papers

Call for Papers

We invite researchers, engineers, industry professionals and policymakers to submit original work on artificial intelligence for space and aerospace systems.

Scope

IAA SpaceAI 2027 aims to build a bridge between the AI and space communities. We welcome contributions from space researchers applying AI methods to space applications, and from AI researchers presenting new methods with high potential impact for the space domain — spanning algorithms, data, hardware platforms, mission applications, policy and the space economy.

Submission process

  1. Abstract submissionSubmit an abstract through Microsoft CMT by 1 February 2027.
  2. ReviewAbstracts are reviewed by the international programme committee. Authors are notified by 1 April 2027.
  3. RegistrationAt least one author of each accepted paper registers by the early-bird deadline, 1 May 2027.
  4. Final paperSubmit the final paper by 1 June 2027 for inclusion in the conference programme.
Author guidelines, paper templates and details of the proceedings and journal special issues will be published here before submission opens on 1 November 2026.

Important dates

  1. Open abstract submission
  2. Registration open
  3. Abstract submission deadline
  4. Notification of acceptance
  5. Early-bird registration deadline
  6. Final paper submission

All deadlines are 23:59 Anywhere on Earth (AoE).

Conference topics

Topics include, but are not limited to:

Autonomous Spacecraft Operations

AI-based autonomous navigation, guidance, maneuvering, and onboard decision-making. Onboard AI for anomaly detection, fault diagnosis, health monitoring, and recovery. Automation and coordination of satellite constellations.

Space Mission Planning and Scheduling

AI-enabled mission design, planning, scheduling, and optimization of onboard and ground resources. Real-time adaptation of mission plans to changing conditions and unforeseen events.

Data Analysis and Interpretation

AI for processing large-scale space datasets: satellite imagery, sensor measurements, and astronomical observations. Pattern recognition, anomaly detection, classification, and predictive analytics.

Space Exploration and Robotic Missions

Intelligent systems for autonomous exploration of planetary surfaces, asteroids, and celestial bodies. Machine learning, computer vision, and robotics in rovers, landers, and exploration platforms.

Satellite Communication and Networking

AI-enhanced communication architectures and protocols for spacecraft-to-ground data transmission. Dynamic optimization of satellite networks for throughput, resilience, and reduced latency.

Resource Utilization in Space

AI-driven prospecting, extraction, and management of extraterrestrial resources — lunar water ice, asteroid materials — supporting sustainable exploration and long-duration missions.

Space Education and Space Economy

AI-enabled platforms for space education, workforce training, and interdisciplinary talent development. AI-driven opportunities in the space economy: commercialization, business models, and satellite data services.

Space Data Centres & In-Orbit Computing

Space-based data centres and edge computing for onboard processing, storage, and real-time analytics. AI optimization of distributed computing across space and ground segments under bandwidth and latency constraints.

Space Policy and Law

AI governance, legal frameworks, orbital safety, and ethical AI deployment in space applications.

Space Life Science

AI applications in space biology, crew health monitoring, life support systems, and space medicine.