BigInsight seminar on Practical Privacy-Preserving Distributed Statistical Computation
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The document outlines a seminar hosted by biginsight and Statistics Norway on privacy-preserving distributed statistical computation scheduled for March 5, 2018. It emphasizes the importance of processing data while maintaining privacy to facilitate significant societal discoveries, featuring various speakers from the Norwegian Centre for E-Health Research and the Cancer Registry of Norway. The agenda includes presentations on health data analytics, confidentiality protection, and privacy concerns in distributed data analysis.
BigInsight seminar on Practical Privacy-Preserving Distributed Statistical Computation
- 1. BigInsight seminar on Practical Privacy-Preserving Distributed Statistical Computation BigInsight and Statistics Norway organise a half-day workshop on Privacy-Preserving Distributed Statistics. Place: Statistics Norway, Akersveien 26, Oslo Monday March 5th 2018 from 12:30 until 16:00 1
- 2. BigInsight seminar on Practical Privacy-Preserving Distributed Statistical Computation Valuable knowledge can be obtained by combining data from two or more sources, but exchanging and linking data are often unacceptable due to confidentiality and privacy concerns. Consequently, important discoveries that are important to society could be hampered. Therefore, data and results need to be processed in a way that preserves privacy. New approaches and computing methods for analyzing data distributed across multiple data sources while protecting privacy are being developed. This seminar addresses these issues with several speakers connected to Norwegian Centre for E- health Research in Tromsø. The director of the Cancer Registry of Norway is also among the speakers. 2
- 3. Time Presentations 12:30 – 12:40 Jørn Leonhardsen: Welcome 12:40 – 12:55 Stein Olav Skrøvseth: The national role of the Norwegian Center for E-health Research and its focus on Health data analytics 12:55 – 13:15 Øyvind Langsrud and Johan Heldal: Modernization, big data and confidentiality protection at Statistics Norway 13:15 – 13:45 Giske Ursin: Health data and the re-identification threat – a real world example 13:45 – 14:00 Pause 14:00 – 14:25 Kassaye Yitbarek Yigzaw: Distributed data analysis in the face of privacy concerns 14:25 – 14:55 Johan Gustav Bellika: The Norwegian Primary Care Research Network IT infrastructure: The Snow system 14:55 – 15:10 Pause 15:10 – 15:35 Kassaye Yitbarek Yigzaw: Privacy-preserving collection and analyses of citizen-generated data 15:35 – 16:00 Discussion