Data science methods appear as silver bullet for all kinds of empirical, data-centric research questions. As with the introduction of all new technologies, ethical and social implications should be studied. A closer examination of data science shows unpleasant risks and side
effects which reach far beyond mere privacy considerations.
The talk provides examples why some people are skeptical of the data science approach.
But as fear and doubt never are good answers to social and technological innovation, a path must be found where the important scientific and technological developments of data science can be used in a non-damaging way. This attempt leads, on the one hand, to philosophical and value centered questions and calls for an ethic of data science. However, it also requires additional research on the technological and product side. A successful application of data science must combine both aspects.
Biography: Clemens H. Cap was born in Innsbruck, Austria. He studied mathematics, computer science and physics at the University of Innsbruck. He spent his postdoc years at the University of Zurich, Switzerland, where he acquired his habilitation (lecturer status) in the area of computer science. He served for one term as associate professor at the University of Mannheim, Germany. Since 1997 he is full professor for information and communication services at the University of Rostock, Germany and continues to be an adjunct professor at the University of Zurich. His research interests are applications of networked systems, security and social impacts of computing technology.