The discussion explored the role of AI in scientific research and the conditions needed to make its benefits widely accessible. Mariia pointed out that advances in AI are moving faster than researchers’ ability to put them to use. Many teams still lack the data, technical expertise and reliable access to infrastructure they need. She stressed the importance of long-term support for research services and the people who maintain them, as well as reproducibility and independent verification of AI-assisted scientific results.
Mariia also discussed the role of European initiatives such as RAISE – piloted by SCIANCE in connecting existing research resources and making them more accessible across scientific disciplines and institutions.
At Constructor University, Mariia leads work on research infrastructure and cooperation within SCIANCE, a Horizon Europe project supporting the development of RAISE – the Resource for AI Science in Europe.
