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One of the aims of technology assessment is to inform policy makers about possible future developments of technology, about their likelihood, and about the most probable impacts on individuals as well as on the fabric of society. Such information could be used to plan and create adequate regulations to minimize negative and maximize positive effects of the corresponding technology. However, certain innovations, which we call bottom up-innovations in this paper, make it quite difficult if not almost impossible to provide information of the kind technology assessment shall produce. After introducing the dichotomy of top down-and bottom up-innovations and bringing these types of innovation in the context of more established notions of innovation on a theoretical level we will use the examples of the quantified self-movement and the idea of participatory sensing to describe bottom up-innovations as they take place in real life. By depicting these examples we will try to identify some of the social consequences of the technology that is used in each of the contexts mentioned above. Finally, we will try to draw some more general conclusions concerning bottom up-innovations and technology assessment and its ability to provide reliable information with regard to possible futures. We shall argue that regulation of technology resulting from bottom up-innovations must go " beyond markets and state ".
If citizens actively participate in the process of collecting empirical data, as a key element of empirically oriented scientific projects, this can be seen as a contribution to an open and citizen-oriented science. Such participation can be supported by providing technical tools. The paper therefore presents examples of participatory sensing as the provision of affordable sensors for measuring environmental parameters as well as wearable technologies for recording quantified vital data and physiological states. Conceptually, the provision of data collected with these tools can be understood as a commons – with all opportunities and risks associated with such goods. After describing examples of participatory sensing and wearable technologies, the authors identify potential challenges and outline technical and organizational approaches to solve them.
Adieu Einwilligung?
(2017)
Bei Nutzung neuer Informations- und Kommunikationstechnologien ergeben sich Herausforderungen bezüglich informationeller Selbstbestimmung, da etablierte Prinzipien neu bewertet werden müssen. Anhand eines konkreten Szenarios werden rechtliche und technische Problemfelder bei der Nutzung von Big Data-Technologien aufgezeigt, um ein Konzept zur technisch unterstützten Verwaltung von Einwilligungen und damit zur Stärkung der informationellen Selbstbestimmung im Big Data-Kontext herzuleiten.