SPMED 2016 - Real-World Security and Privacy for Collaborative Medical Analytics

Call for Participation:
Medical progress increasingly depends on analyzing large data sets. This is often prevented by data silos and stringent privacy requirements. New technologies are emerging that allow privacypreserving collaborative analytics of medical data, even if the amounts of data are large, the security and privacy requirements remain stringent, and the data origins from multiple silos. In particular fields with highly sensitive data such as genomics or other health domains, the wide range of privacy-preserving analytics technologies promise to enable new and exciting applications and scientific breakthroughs.
Keynote Speakers:
Jim Davies (Genomics England Limited and Oxford University): “Security and Privacy in the UK: The 100,000 Genomes Project”
Roland Eils (German Center for Cancer Research (DKFZ) and University of Heidelberg): “Curse or Cure: Big Data in Health”
Paul Francis (MPI-SWS and Aircloak): “A Breakthrough in Anonymity X Utility for Anonymized Analytics”
Kate Black (23andMe): Title tba
Workshop Goals:
- To bring stakeholders from Medicine, Law, and Technology together to get a better understanding of the full range of requirements, capabilities, and constraints.
- To compare and contrast recent advances from a user perspective and to identify promising directions for further research and real-world validation.
- Discuss the current state of technology and to identify remaining technical and nontechnical hurdles for public adaption.
Logistics and Registration:
www.spw2016.de (Register for SPMED; regular 90EUR, Student 60EUR). The workshop will not publish proceedings: The goal is to openly share and summarize progress and insights.