HiDATA does not have a pre-defined research agenda, but the research challenges emerge bottom-up from this multi-disciplinary network. Helsinki Institute for Information Technology facilitates interaction between the AI and Data Science communities in Helsinki.
Research
HiDATA spearheads
HiDATA facilitates the creation of bottom-up multidiscplinary research spearheads addressing crucial societal and industrial challenges.
One spearhead is Planet-scale environmental monitoring MegaSense.
As part of the profiling action of University of Helsinki, eight new tenure track positions have been founded to support HiDATA.
- Data-Intensive Computing in Natural Sciences
- Parallel and Distributed Data Science (Keijo Heljanko)
- Spatiotemporal Data Analysis for Sustainability Science (Laura Ruotsalainen)
- Computer Science and Atmospheric Sciences. (Kai Puolamäki)
- Data Science - Machine Learning and AI (Dorota Glowacka, Antti Honkela)
- Data Science - Knowledge discovery in big data (Simon Puglisi)
- Privacy-aware and secure data science (Nikolaj Tatti)