Petra Ahrweiler is the Director of the European Academy of Technology and Innovation Assessment, a public research organisation in Germany. Ahrweiler also holds a professorship for Technology and Innovation Assessment at the Johannes Gutenberg University Mainz. Previously, Ahrweiler was Professor of Innovation and Technology Management at the Michael Smurfit School of Business of University College Dublin and Director of UCD’s Innovation Research Unit IRU. Ahrweiler studied law, sociology, journalism and political science at the University of Hamburg finishing with her PhD in the area of science and technology studies at the Free University Berlin and a habilitation thesis at the University of Bielefeld.
Please direct correspondence about this article to Petra Ahrweiler
Michel Schilperoord PhD is since 1/2013 (assoc.) Senior Researcher at the EA and since 1/2015 Head of the EA Lab. His main research interests are: complex social systems, agent-based modelling and innovation policy simulation.
UCD Complex & Adaptive Systems Laboratory (CASL)
8 Belfield Office Park
Beaver Row Clonskeagh
Andreas Pyka studied Economics and Management Sciences at the University of Augsburg. He graduated in Economics in 1998 and spent about two years as a Post Doc in Grenoble, France participating an European research project on innovation networks. Following the Post Doc he worked as an assistant professor at the chair of Prof. Dr. Horst Hanusch at the University of Augsburg. His fields of research are Neo-Schumpeterian Economics and Evolutionary Economics with a special emphasis on numerical techniques of analysing dynamic processes of qualitative change and structural development. From October 2006 to March 2009 he worked at the University of Bremen as Professor in Economic Theory. Since April 2009 Andreas Pyka holds the chair for innovation economics at the University of Hohenheim, Stuttgart.
University of Hohenheim
Institute of Economics
D-70599 Stuttgart, Germany
Nigel Gilbert is a Professor of Sociology at the University of Surrey and has a special interest in computational social science. He was one of the first social scientists to use agent-based models, in the early 1990s, and has since published widely on the methodology underlying computer modelling, on basic issues in social science that can be addressed effectively using such models, and on the value of simulation for applied problems such as understanding commercial innovation and managing environmental resources. Professor Gilbert is also interested in the sociology of scientific knowledge and in complexity science.
Department of Sociology
Faculty of Arts and Human Sciences
University of Surrey
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