About the Programme

MyData 2017 programme is divided into 12 thematic tracks and the main stage sessions. The Day-By-Day Schedule below shows that most tracks have sessions in Helsinki and Tallinn, with the Tallinn sessions applying a more hands-on workshop approach. The ferry trip from Tallinn to Helsinki will be devoted to a more relaxed networking, yet content-creating, un-conferencing session.

Three full-day academic workshops are organised during the first conference August 30th in Tallinn. Each academic workshop has a distinct focus: Our data futures, Regulating data, and Technical issues and approaches

The conference programme is curated by a team of 35 international experts and final programme is expected to have more than 100 presenters (last year we had 130 speakers) from a variety of areas ranging from business leaders, legal professionals, technology developers, digital rights advocates and other data thinkers and doers. See the speakers and programme team members -page for updates.

Topic Tracks

Common  //  Plenary sessions and un-conferences that are not tied to any specific topic track

  1. MyData Nuts and Bolts  //  Introduction to human-centric personal data
  2. GDPR – the New Black  //  From business burden to commercial opportunity
  3. Case Studies  //  From actual to future services : promises and value of the MyData model
  4. Ethical Processing of MyData  //  Practical tools and solutions for transparency, accountability and fairness in processing of MyData
  5. Insights to Consumer Behaviour  //  Interests and opportunities for consumers
  6. Global Landscape  //  Mapping existing initiatives in human-controlled personal data: lessons learned, governance and business models
  7. Making Consent Work  //  How to operationalise meaningful consent, with emphasis on practical implementation
  8. Roadmap for Personal Data Markets  //  Envisioning the evolution for the sustainable economy for personal data
  9. Technical Building Blocks  //  Explore and map out technological aspects of data, protocols, and architectures
  10. Design + Personal Data?  //  Exploring the intersection of design and personal data
  11. Our Data  //  Collective data use and the social value of data
  12. Health Data //  Personal data for predictive healthcare

Day-By-Day