Michael Barber Ph.D.

Function
Scientist
Center
Innovation Systems & Policy
Competence Unit
Innovation Systems & Policy
Address
Giefinggasse 4, 1210 Vienna
Career
Field: Innovation Dynamics and Modelling
Main Research: complex networks, geography of innovation, agent based models
Experience: Michael Barber has a B.S. in physics from Michigan Technological University and a Ph.D. in physics from Washington University (Dissertation: Studies in Neural Networks: Neural Belief Networks and Synapse Elimination). In 2006, he began his present position as Scientist at the AIT innovation Systems Department. Previously, he was a researcher at the Center for Mathematical Sciences of the University of Madeira and a postdoctoral researcher at the Institute for Theoretical Physics of the University of Cologne. His research interests include complex systems and networks, machine learning, structure and function of R&D networks, geography of collaborations, neural networks, and statistical physics. He is highly skilled in the application of analytical and computation methods to the investigation of complex systems and networks.
- 2006-now: Scientist
Austrian Institute of Technology / Austria - 2001-2006: Researcher
Center for Mathematical Sciences, University of Madeira / Portugal - 1999-2001: Postdoctoral researcher
Institute for Theoretical Physics, University of Cologne / Germany - 1995-1999: Research Assistant
Department of Physics, Washington University / USA - 1993-1996: Teaching assistant
Department of Physics, Washington University / USA
- 2010: Martin Beckmann Award http://ersa.org/home/article/2010-martin-beckmann-award
Publications
- Network of European Union–funded collaborative research and development projects
Author(s): M.J. Barber, A. Krueger, T. Krueger, and T. Roediger-Schluga
Journal: Physical Review E, 73(3) (2006) ; 036132 - Modularity and community detection in bipartite networks
Author(s): M.J. Barber
Journal: Physical Review E, 76(6) (2007) ; 066102 - Spatial interaction modelling of cross-region R&D collaborations: empirical evidence from the 5th EU framework programme
Author(s): T. Scherngell and M.J. Barber
Journal: Papers in Regional Science, 88(3) (2009) ; 531-546 - Detecting network communities by propagating labels under constraints
Author(s): M.J. Barber and J.W. Clark
Journal: Physical Review E, 80(2) (2009) ; 026129 - Distinct spatial characteristics of industrial and public research collaborations: evidence from the fifth EU Framework Programme
Author(s): T. Scherngell and M.J. Barber
Journal: The Annals of Regional Science, 46(2) (2011) ; 247-266
Further Information
- Publications AIT publications database
- CV as pdf