Published November 20, 2025 | Version v1
Conference proceeding Open

Abstract Book of the Baltic Applied Astroinformatics and Space Data Processing (BAASP 2025) Conference

  • 1. ROR icon Ventspils University of Applied Sciences

Description

The BAASP Conference Series serves as a platform for establishing and strengthening cross-border partnerships and knowledge exchange internationally in the Baltic region and globally. These conferences unite astronomers, space researchers and engineers, as well as experts in related disciplines including informatics, electronics, satellite technologies, geodesy, remote sensing, and environmental sciences.

Conference Theme

Space science is increasingly driven by the Big Data requiring robust data acquisition, management, processing, and interpretation capabilities. The interdisciplinary nature of astroinformatics combines space science with high-performance computing, AI, and machine learning, leading to breakthroughs in observational astronomy, satellite technologies, and Earth-space interactions.

 In recent years, Europe has continued to play an important role in next-generation astronomy. The continued expansion of the Low Frequency Array (LOFAR), antenna array telescope network across the continent, including the Baltic region, has enabled high-resolution studies of cosmic magnetism, solar activity, and transient radio phenomena.  The European VLBI Network (EVN) has further enhanced its real-time e-VLBI capabilities and broadband sensitivity, with support from UK-based facilities such as Jodrell Bank and e-MERLIN. These advancements have contributed significantly to the precise localization of fast radio bursts and compact extragalactic sources.

 Technical developments also facilitate automated, rapid-response observation modes, which are essential to advancing multimessenger astronomy. This emerging field integrates radio, optical, gravitational wave, and neutrino data to probe energetic cosmic events such as neutron star mergers and magnetar outbursts.

 Concurrently, breakthroughs in AI-driven data mining, edge computing for satellite payloads, and quantum-enhanced algorithms are opening new frontiers in real-time analysis and autonomous decision-making for both Earth observation and deep-space missions. Meanwhile, the growing use of CubeSats and modular satellite platforms is reshaping the landscape of low-cost, high-impact space research, demanding new models for data integration, security, and interoperability across domains.

 BAASP 2025 will continue the dialogue on how emerging technologies transform astronomy, space science, geoscience, and remote observation.

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BAASP_2025.Abstracts_final_2025.11.20.pdf

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Additional details

Funding

Latvian Council of Science
Ventspils University of Applied Sciences` International Cooperation and Innovation for the Development of Latvia’s Smart Specialisation 1.1.1.5/3/25/I/012