An SSI Based System for Incentivized and Self-determined Customer-to-Business Data Sharing - Prof. Dr. Norbert Pohlmann

D. Bothe, L. Lazzati, N. Pohlmann, A.-J. Sinnaeve, K. Wittek:
“An SSI Based System for Incentivized and Self-determined Customer-to-Business Data Sharing in a Local Economy Context”,
IEEE E-TEMS 2020,
Dortmund 2020

With ongoing developments in the field of smart cities and digitalization in general, data is becoming a driving factor and value stream for new and existing economies alike. However, there exists an increasing centralization and monopolization of data holders and service providers, especially in the form of the big US-based technology companies in the western world and central technology providers with close ties to the government in the Asian regions. Self Sovereign Identity (SSI) provides the technical building blocks to create decentralized data-driven systems, which bring data autonomy back to the users. In this paper we propose a system in which the combination of SSI and token economy based incentivisation strategies makes it possible to unlock the potential value of data-pools without compromising the data autonomy of the users.

Personal data is an increasingly important asset class fororganizations in our current society . In this way, col-lecting personal data on a system of participants results invaluable insights of the overall behavior of the system and canhelp to accomplish personal goals of an organization. Withincentivised tokens, it is possible to transcend the behaviorof a community to a collective goal by providing tokens inexchange of specific actions . Normally, when presentingincentives for data sharing in the context of a market economy, the customer is not able to choose which parts of their datais shared with which authority. They have to accept the termsand conditions because otherwise they cannot use the system.This is seen in the state of the art, demonstrating that thereare systems in existence worldwide in which consumers are re-warded by their consuming behavior.

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