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SPACE::LAB Summer School

An annual three-day summer school where students work on real space data with the researchers who produce it. Every edition since 2019 has paired a space-science question with the computing and machine learning needed to answer it — from machine learning on space data to artificial intelligence running on board the satellite itself.

For the Public·Public events·Summer School

8 editions

Newest first. Each entry lists the programme and the participants it drew.

2026Towards Satellite IntelligenceDeploying artificial intelligence directly on board satellites (edge computing). Topics: satellite architecture, orbital environment, data from space observatories (JWST, Gaia, Euclid, Roman), Python package development, AI-assisted coding, neural network deployment on FPGA hardware, solar corona segmentation. Lecturers from IEP SAS, FMFI UK, FEI TUKE, and the private sector.8th edition · 22 participants24–26 Aug 2026

2025Synergy of Human and Artificial IntelligenceAI as a tool, not a threat — synergy of human and artificial intelligence in space research. Topics: AI coding assistants for space data processing, AI agents, MCP servers, ESA missions (Euclid, Vigil), critical thinking about AI outputs, evidence-based science.7th edition · 20 participants25–27 Aug 2025

2024From Space Data to PredictionsMachine learning for space weather forecasting. Topics: physics of geomagnetic storms, deep neural networks, AI agents for space weather index prediction, student project presentations. Lecturers including Roman Nagy (FMFI UK).6th edition · 20 participants26–28 Aug 2024

2023Exploring Space Science with GPTGPT API as a tool for space research. Topics: principles of large language models (LLMs), information extraction from scientific papers, GPT combined with image processing, the James Webb Space Telescope, ethics of AI in research. Concluded with an excursion to Roztoky Observatory.5th edition · 20 participants21–25 Aug 2023

2022Merging Space & ITConnecting people, know-how, and ideas from space research and the IT sector. Topics: optimisation of computer simulations in galactic astrophysics, machine learning for automatic detection of TLE events (sprites, elves) in AMOS all-sky camera data, hands-on projects. Lecturers: V. Maslej Krešňáková (TUKE), R. Nagy (UK BA), S. Hrivňák (GlobalLogic), O. Palkoci, Š. Mackovjak (IEP SAS).4th edition · 20 participants22–24 Aug 2022

2021Space Data, Cloud and Deep LearningProcessing large volumes of space mission data using cloud computing and deep learning. Topics: cloud solutions for space data, deep learning, ionospheric scintillation prediction (project ASPIS / ESA PECS). Lecturers from IEP SAS, Technical University of Košice, and GlobalLogic Slovakia.3rd edition · 20 participants23–25 Aug 2021

2020Develop your own Virtual ObservatoryBuilding a virtual observatory from scratch. Topics: Python microservices for data collection and storage, automated processing with machine learning, presenting results via a web application.2nd edition · 20 participants24–26 Aug 2020

2019Machine Learning and Space DataThe inaugural edition focused on connecting space research with modern IT technologies. Topics: machine learning and its applications to space data. Organised in partnership with GlobalLogic and supported by ESA.1st edition · 20 participants26–28 Aug 2019

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