Technical Issues and Approaches in Personal Data Management

We focus on a wide spectrum of technical challenges of personal data management, including adapting machine learning for personal data, data interoperability, technologies for sharing and consenting, and security & privacy.
30 Aug 2017
10:30 - 16:00 // Day 1: Tallinn

Technical Issues and Approaches in Personal Data Management

MyData is a new human-centric paradigm in data management that puts individuals in charge of their own personal data. While legal frameworks and social practices are important for furthering MyData, however, it is the technical implementations that ultimately define the limitations and possibilities for us being in control of our personal data — “code is law” as Lawrence Lessig put it. Indeed, the human-centric personal data paradigm presents several novel and important technical challenges that need to be overcome. This workshop focuses on a wide spectrum of these challenges, including adapting machine learning for personal data, data interoperability, technologies for sharing and consenting, and security & privacy.

This workshop relates closely to the topics of the following main tracks of the conference:

Topics of interest include, but are not limited to:

  • machine learning and personal data, or “Big Data” vs personal data
  • algorithmic fairness
  • consenting experience
  • technologies enabling consenting and proof-of-consents
  • interoperability in MyData
  • governance, provenance & ethics in (3rd party) data processing
  • secure use data
  • privacy preserving technologies

Information & submission guidelines

Date & venue: Wednesday, August 30, 2017 at Tallinn University
Practical details on the workshop and conference registration are available on the main conference web site.

The papers should be a maximum of 6 pages, and formatted using the two-column CEUR LaTeX style. Please send your full paper in PDF format to academic-tech@mydata.org by the submission deadline given below. The accepted papers will be made available in advance of the workshop and will be submitted to CEUR-WS.org for online publication. The copyrights of the individual papers remain with the papers’ authors.

Author(s) of each accepted paper will be expected to present their work in the workshop. The workshop will also be open to the conference audience. More details will follow.

Important dates

Paper submission: Tue May 30 June 13, 2017 (The deadline was extended by two weeks)
Notification of acceptance: Wed June 21, 2017
Camera-ready papers due: Tue August 1, 2017

Workshop organizers

Mats Sjöberg, University of Helsinki
Yki Kortesniemi, Aalto University
Harri Honko, Tampere University of Technology
Tuukka Lehtiniemi, Helsinki Institute for Information Technology

The workshop is arranged in connection with the MyData 2017 conference, Tallinn & Helsinki, 30.8. – 1.9.2017.

General information of the academic workshops of the conference can be found here.