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FreeMove - Transdisciplinary exploration of privacy-aware provision of movement data for sustainable urban mobility

Principal Investigator:
Research Team:

Student researcher

Funding:

Federal Ministry of Education and Research (BMBF): MobilitätsZukunftsLabor 2050 - Gesellschaftlicher Wandel und Mobilitätsverhalten

Term:
Mar 01, 2021 — Jun 30, 2024
Contact Person:
Prof. Dr. Claudia Müller-Birn
Homepage:
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FreeMove Logo

The potential of using movement data is enormous: it is, amongst others, needed to manage critical situations such as epidemics and disasters, or to support sustainable and human-centered urban- and traffic planning. At the same time, collecting, processing and making movement data available requires the use of particularly sophisticated mathematical-technical anonymization procedures. Such anonymization procedures must ensure the legally and ethically required high level of protection of the privacy of individuals. From a human-centered perspective, the scope and effectiveness of the implemented anonymization also need to be communicated in a comprehensible way to the individual as part of a trust-oriented and value-based approach.

The transdisciplinary BMBF-funded research project "FreeMove" aims to develop recommendations for the privacy-compliant collection, processing and provision of mobility data. "FreeMove" will use representative case studies from the field of urban mobility to develop a holistic conceptual framework. This framework is set to determine and map the multifaceted requirements for the fairest, most useful, most secure, and most comprehensible provision of movement data.

As part of this transdisciplinary project, the Human-Centered Computing (HCC) Research Group is responsible for the design of novel interaction concepts for Hu­man-Cent­ered Privacy and Se­cu­ri­ty and their implementation in the form of interactive software prototypes. In close collaboration with other current research projects at the HCC Research Group, FreeMove will also contribute to the establishment of a value-oriented approach to software development and to the support of informed privacy decisions.

Project Partner

Keywords

  • Human-Centered Privacy
  • Movement Data
  • Value-Based Design