Ján Rapan
He is a data scientist, architect and co-creator of a Slovak autonomous AI stack designed for high-risk environments, with compliance with the EU AI Act embedded into its architecture by design. At iCARI, he serves as Vice-President for Science and Research. He collaborates with international research centres and publishes in-depth analyses and solutions focused on minimising the anthropogenic impacts of climate change and on developing AI systems for responsible use. He also builds research consortia for Horizon Europe projects centred on three interconnected pillars: Climate, Health and AI.
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Secure Autonomous AI Stacks You Cannot Build in 14 Days or Explain in 7 Minutes (7 min)
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Climate adaptation as a viable tool cannot be explained in 10 minutes
Climate adaptation is one of the key tools for addressing global challenges related to climate change. This lecture, delivered by a data scientist specializing in climate change, critically focuses on using complex data instead of intuition in developing strategic approaches to planning energy mixes that reflect climate trends and the specific needs of individual countries. It emphasizes the necessity of eliminating inefficient primary energy consumption, optimizing its use, and only then addressing the replacement of sources – not the other way around. Allocating just ten minutes to a topic as broad as energy adaptation clearly shows that we are only marginally addressing essential issues.