The objective of this symposium was to share experiences on the use of big data, high performance counting and modelling, and self-learning systems in radiation research and to consider their applications for improved radiation safety.

The programme and the presentations

Big data and informatics
National programme and Consortium for radiation safety research Sisko Salomaa, STUK and University of Eastern Finland
Artificial intelligence and machine learning for modelling physical systems Antti Honkela, University of Helsinki
Citizen science - Open environmental data for everyone Azby Brown, SAFECAST, Japan
Application of robotics in radiation measurements Juha Röning, University of Oulu

 

Medical radiation. Infrastructures and research platforms.
National architecture for imaging Tarja Herttuainen, The Social insurance Institution (KELA)
Finnish biobanks – the most advanced testbed in the world Jaana Hartikainen, Biobank of Eastern Finland and University of Eastern Finland
Radiomics - research challenges identified by EURAMED Christoph Hoeschen, University of Magdeburg, Germany

 

Medical radiation. Applications and practices.
Towards measuring outcome in radiological optimisation Mika Kortesniemi, HUS
Reducing variability in radiotherapy treatment planning using machine learning and knowledge-based methods Joakim Pyyry, Varian Medical Systems Finland Oy

 

Radiological and nuclear emergency preparedness and response - information needs and excisting tools
Surveillance of external radiation in Finland – past and future Janne Koivukoski, Ministry of the Interior
Data and information needs in nuclear emergencies Aleksi Mattila, STUK
TIUKU - Collaborative Emergency Management Tool Juhani Lahtinen, STUK
Predicting dispersion of radioactive materials in the atmosphere with Silam Rostislav Kouznetsov, Finnish Institute of Meteorology
EURADOS - European Radiation Dosimetry Group, activities in environmental monitoring Tero Karhunen, STUK

 

Radiological and nuclear emergency preparedness and response - novel developments
NERIS - European Platform on preparedness for nuclear and radiological emergency response and recovery Maarit Muikku, STUK
The IEC 63047 list-mode data format and the EMPIR Preparedness project Jan Paepen, Joint Reserch Center, Geel
Imaging and localizing gamma and neutron sources Vladyslav Litichevskyi, Helsinki Institute of Physics
NFacet 3D, Direction-sensitive neutron spektrometer Sakari Ihantola, Helsinki Institute of Physics
Optical imaging and locating of radioactive materials Juha Toivonen, Tampere University of Technology
Deep learning and its applications in radiation safety studies Tarmo Lipping, Tampere University of Technology