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BIG DATA AND HEALTH – French-Nordic Network Event in Stockholm
25.09.2017 @ 9:00 am - 4:00 pm
The concept of “Big Data” has currently no consensual definition but refers to the vast amount of data created by exponential computing activities and challenges opened by data storage and uses. The impacts of this fast-growing technology are currently not well perceived but Big data opens new perspectives both on technical (communication, storage, analysis) and societal (uses and users’ acceptance) points of view.
This project aims to discuss the rise of Big data technologies and their uses from French and Nordic viewpoints, putting into perspective the specificity of Nordic countries characterized by the highest Human Development indexes.
This project is based on a series of events shared out in Nordic countries as followed:
– Denmark: Big Data and Food
– Finland: Big Data and Smart Cities
– Norway: Big Data and Energy
– Sweden: Big Data and Health
REGISTRATION ARE FREE BUT SEATS ARE LIMITED PLEASE REGISTER AS SOON AS POSSIBLE
contact Sweden :
Sandrine Testaz and Clément Brousse
Monday 25th of Septembre, 2017
Morning at Europahuset (Regeringsgatan 65, 111 56 Stockholm)
8.30-10.30 The new general data protection regulation : how to conduct innovative medical research and care ? (Nathalie Devillier, Grenoble School of Management, and Lena Jönsson, Inera and Landstinget Dalarna)
10.45-11.15 Overview of H2020 calls (Vinnova)
Lunch and afternoon at KTH (Dome of Visions and OpenLab, Valhallavägen 79, 114 27 Stockholm)
11.15 – 13.00 Transfer to KTH and lunch in the Dome of Visions (for workshop participants)
13.00-16.00 4 parallels workshop sessions at OpenLab :
1 – Data collection, analysis and fusion for predictive, preventive and personalized medicine
2 – Technologies for privacy preserving analytics and sharing (encryption, secure multi-party computation, …) of sensitive data from multiple sources (electronic health records, biobanks, PACS, devices)
3 – Enable usage of advanced data analytics in clinical practice
4 – Technologies for allowing patients to appropriate their own data and health