The Opin.fi service brings open studies from Finnish universities and universities of applied sciences into one searchable national platform for learners.
Improved weather forecasts for wind and solar energy are being developed using AI and supercomputing, with support from Denmark’s NREN DeiC.
DigiFarm used CSC’s LUMI supercomputer to run AI and data models for agriculture, helping optimise resource use and improve crop yield and efficiency.
Finland’s nationally developed EXAM system lets students choose when and where to take university exams, reducing stress and expanding access across institutions.
Finland’s NaQCl.fi project tested quantum key distribution over live networks, with the Finnish NREN CSC exploring future-ready secure communications.
A Nordic collaboration developing the NOCOS Digital Twin model uses sea ice forecast tools to give shipping companies better risk indicators for safer Arctic navigation.
Finnish researchers used CSC’s supercomputing resources to model HPV vaccine effects on infection dynamics, suggesting cervical cancer risk could be greatly reduced.
Fire simulations are highly complex. Using the supercomputer LUMI, operated by the Finnish research and education network CSC, Ramboll Finland managed to speed up the process significantly.
Thousands of citizens in Finland have responded to a call to report their observations of migrating birds. So far, approximately 3.7 million recordings were submitted.
In a joint project, University of Eastern Finland and Finland’s R&E network CSC have cut down a key procedure in drug discovery from four months to 10 days.
“Simple pen and paper are not enough; numerical modelling is needed. This kind of modelling is also challenging because of many different time and other scales, and it requires supercomputer resources,” says Professor Maarit Korpi-Lagg.
A European project will enable the prediction of flooding from glaciers that threaten settled areas and infrastructure.
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