CV Paul Lukowicz

Since 2012 Paul Lukowicz is Full  Professor of AI at the TU of Kaiserslautern in Germany and Scientific Director heading  the Embedded Intelligence group at DFKI (German Research Center for Artificial Intelligence). Between 2006 and 2011 he has been Professor (W3)  of Computer Science at the University of Passau. Before that he held the Chair for Computer Engineering at the University of Medical Informatics, Health Science and Technology (UMIT) in Austria (2004-2006) and was a senior researcher (“Oberassistent”) at the Electronics Laboratory at ETH Zurich (1999-2004, plus part time association till 2006). Paul Lukowicz has  MSc. (Dipl. Inf.) and a Ph.D. (Dr. rer nat.) in Computer Science  a MSc. in Physics (Dipl. Phys.). His research deals with the interface between the digital, the physical, and the social world in particular  interpreting complex real world processes with sensors that are suitable for integration and long term use in real world setting including ubiquitous and wearable sensors. Research  goes all the way  from  sensor design and modeling through signal processing and machine learning to a broad range of applications.  Examples include new concepts for on body capacitive sensing, novel magnetic positioning systems for smart spaces and textile pressure sensor matrices that were adapted to applications ranging from smart soccer shoes through smart shirts to smart carpets and sensor seats for cars. 

Paul Lukowicz co-funder of  3 spinoff companies and co-author (together with a team from QUALCOM ) of a US  patent on location discovery.


1999 PhD in Computer Science, University fo Karlsruhe, Germany,

1993 Diplomphysiker, (MSc). Physics, Universität Karlsruhe, Germany

1992 Diplominformatiker, (MSc). Computer Science, Universität Karlsruhe, Germany

Selected recent publications

Suh, S., Lee, H., Lukowicz, P., & Lee, Y. O. 2021. „CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems“. Neural Networks, 133 (2021), 69-86 4.       

Nanni, M., Andrienko, G., Barabási, A. L., Boldrini, C., Bonchi, F., Cattuto, C., …Lukowqicz,P… & Vespignani, A. (2021). Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics and Information Technology, 1-6.

Nowak, A., Lukowicz, P., & Horodecki, P. (2018). Assessing Artificial Intelligence for Humanity: Will AI be the Our Biggest Ever Advance? or the Biggest Threat [Opinion]. IEEE Technology and Society Magazine, 37(4), 26-34. 

Strzys, Martin P., Sebastian Kapp, Michael Thees, Pascal Klein, Paul Lukowicz, Pascal Knierim, Albrecht Schmidt, and Jochen Kuhn. “Physics holo. lab learning experience: using smartglasses for augmented reality labwork to foster the concepts of heat conduction.” European Journal of Physics 39, no. 3 (2018): 035703.

Rey, V. F., & Lukowicz, P. (2017). Label propagation: An unsupervised similarity based method for integrating new sensors in activity recognition systems. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3), 1-24.

Franke, T., Lukowicz, P., & Blanke, U. (2015). Smart crowds in smart cities: real life, city scale deployments of a smartphone based participatory crowd management platform. Journal of Internet Services and Applications, 6(1), 1-19.

Kampis, George, and Paul Lukowicz. “Collaborative knowledge fusion by ad-hoc information distribution in crowds.” Procedia Computer Science 51 (2015): 542-551

Lukowicz, P., Pentland, S., & Ferscha, A. (2012). From context awareness to socially aware computing. IEEE pervasive computing, 11(1), 32-41

Roggen, D., Tröster, G., Lukowicz, P., Ferscha, A., Millán, J.D.R. and Chavarriaga, R., 2012. Opportunistic human activity and context recognition. Computer, 46(2), pp.36-45.

Giannotti, Fosca, Dino Pedreschi, Alex Pentland, Paul Lukowicz, Donald Kossmann, James Crowley, and Dirk Helbing. “A planetary nervous system for social mining and collective awareness.” The European Physical Journal Special Topics 214, no. 1 (2012): 49-75.

Calder, M., Craig, C., Culley, D., de Cani, R., Donnelly, C. A., Douglas, R., Edmonds, B., Gascoigne, J., Gilbert, N., Hargrove, C., Hinds, D., Lane, D. C., Mitchell, D., Pavey, G., Robertson, D., Rosewell, B., Sherwin, S., Walport, M. and Wilson, A. (2018) “Computational modelling for decision-making: Where, why, what, who and how,” Royal Society Open Science, 5(6), p. 172096. doi: 10.1098/rsos.172096.


CV Erik Johnston

Professor at the School for the Future of Innovation in Society and School for Complex Adaptive Systems Tempe, AZ, 85287-5603 Dr.

Erik Johnston is a Professor with the School for the Future of Innovation in Society and School for Complex Adaptive Systems. He is also the Chair the of the Ph.D. program in Human and Social Dimensions in Science and Technology. He is the Co-Director of the Center for Smart Cities and Regions and the Director of Policy Informatics at the Decision Theater. His research in smart cities and regions integrates open governance and policy informatics applications of public interest technology to serve all communities, including participation from traditionally underserved populations. His research in opening governance explores how our governance systems can evolve to address increasingly complex challenges and to meet the rising expectations of the public to have many pathways to share their talents, data, expertise, and energy to improve their communities. His research in policy informatics is the study of how computational and communication technology is leveraged to specifically understand and address complex public policy and administration problems and realize innovations in governance insights, processes, and institutional design. Reducing health and infrastructure vulnerability to current and future threats requires innovative, interdisciplinary approaches that appreciate the interdependencies across multiple social systems like education and health, integrating basic and applied natural and social science in a framework that not only provides stakeholders with new evidence to support effective decision-making, but also accelerates the identification of the next series of important questions that research must address in cooperation with community partners.

2007 Ph.D, Information, University of Michigan
2007 Graduate Certificate, Complex Systems, University of Michigan
2000 Masters of Business Administration, University of Denver, Masters of Science, Information Technology, University of Denver, Bachelor of Science, Computer Science and Psychology, University of Denver

Selected publications
Pine, K.H., Hinrichs, M.M., Wang, J., Lewis, D., & Johnston, E. (Accepted 2020). For Impactful Community Engagement: Check your Role. Communications of the ACM.
Johnston, E.W. (Ed.) (2015). Governance in the Information Era: Theory and Practice of Policy Informatics. New York, NY: Routledge Press.
Wellman, N., Applegate, J., Harlow, J. & Johnston, E.W. (2019). Beyond the Pyramid: Alternative Formal Hierarchical Structures and Team Performance. Academy of Management Journal. 10.5465/amj.2017.1475.
Wald, D.M., Segal, E.A., Johnston. E.W., & Vinze, A. (2017). Understanding the Influence of Power and Empathetic Perspective-taking on Collaborative Natural Resource Management. Journal of Environmental Management, 199 (1 September), 201-210.
Longo, J., Kuras, E., Smith, H., Hondula, D. M., & Johnston, E. (2017). Technology Use, Exposure to Natural Hazards, and Being Digitally Invisible: Implications for Policy Analytics. Policy and Internet, 9 (1), 76-108. DOI: 10.1002/poi3.144.
Hondula, D. M., Kuras, E. R., Longo, J., & Johnston, E.W. (2017). Toward Precision Governance: Infusing Data into Public Management of Environmental Hazards. Public Management Review, 1-20.
Imperial, Mark, T., Johnston, E.W., Pruett-Jones, M., Leong, K., & Thomsen, J. (2016) Sustaining the Useful Life of Network Governance: Life-Cycles and Developmental Challenges, Frontiers in Ecology and Environment 14 (3) 134 – 144.
Johnston, E.W., Hicks, D., Nan, N., & Auer, J. C. (2011) Managing the Inclusion Process in Collaborative Governance. Journal of Public Administration Research and Theory 2010. DOI: 10.1093/jopart/muq045. First published online: August 19, 2010.
Kim, Y., Johnston, E.W., & Kang, H. S. (2011) A Computational Approach to Managing Performance Dynamics in Networked Governance Systems. Public Performance & Management Review, 34 (4) 580.
Johnston, E.W. (2010). Governance Infrastructures in 2020. Public Administration Review, 70 (1) s122-s128.


CV Alex Penn



Brief Summary of Experience and Expertise: 

I am a strong interdisciplinarian with expertise across the social and natural sciences. With a background in complexity science, adaptive systems and evolutionary ecology, my skillset combines mathematical analysis, computer modelling and participatory modelling and processes, complimentary to innovative practical applications in real world complex systems. I have experience in stakeholder engagement across a variety of scenarios and a proven ability to connect understanding of issues on the ground with innovative blue skies thinking. As a team member, manager and initiator in academic, collaborative whole-systems design and participatory contexts I am adept at using a variety of facilitation and working methods. I am interested in working with stakeholders to produce participatory models and to produce and improve methodologies for applying complexity science in meaningful and useful ways. The combination of new ideas and practical applications in real world scenarios is what I consider to be the most exciting place to work and I have the skills required to navigate this challenging, interdisciplinary and rapidly changing area. 


Education and Qualifications: 

2001-06 DPhil Life Sciences: University of Sussex, Ecosystem Selection: simulation, theory and experiment BBSRC CASE studentship, BTExact Future Technologies Group 

1999-01 MSc Evolutionary and Adaptive Systems: University of Sussex. EPSRC Scholarship 

1995-99 MPhys Physics, first class honours. University of Kent at Canterbury and Universite Joseph Fourier, Grenoble 



Recent Relevant Publications: 


     Penn, A.S, Jones, C. et al (Forthcoming) Understanding Complexity in the Rural System in England Analysis and Insights from the FF&C Systems Mapping Project, CECAN & Department for Environment, Food and Rural Affairs. UK Government Internal Report

      Bickett, M, Hills, D, Penn, A. and Wilkinson, H. (Forthcoming) Magenta Book Annex on Complexity and Evaluation Official H.M Treasury Guidance for Policy Evaluation

     Fellermann, H., Penn, A. S., Füchslin, R. M., Bacardit, J., & Goñi-Moreno, A. (2019). Towards low-carbon conferencing: acceptance of virtual conferencing solutions and other sustainability measures in the ALIFE community. In The 2018 Conference on Artificial Life: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE) (pp. 21-27). MIT Press

     Guttenberg, N., Virgo, N. & Penn, A. (2019) On the potential for open-endedness in neural networks, Artificial life25(2), pp.145-167

     Penn, A.S. (2018) Moving from Overwhelming to Actionable Complexity in Population Health Policy: Can ALife help? Artificial Life (Editorial) 24(3), 218-219

     Barbrook-Johnson, P., Penn, A. (2018) A participatory systems map of the Energy Trilemma. A CECAN report for the Department for Business, Energy and Industrial Strategy – CECAN report. Online at

     Skeldon, A. C., Schiller, F., Yang, A., Balke-Visser, T., Penn, A., & Gilbert, N. (2018) Agent-based modelling to predict policy outcomes: A food waste recycling example. . Environmental science & policy87, 85-91

     Penn, A.S (2018) Report on the ISAL Special Session on ALife and Society, ALife XV, Cancún, Mexico, 2016. Artificial Life 24(1), 80-84

     A New Home for a Vital Conversation: Introducing the ALife Societal Impact Section and Going 

Back to Bio-inspiration for the Internet. (2017) Penn, A.S, Artificial Life, (Editorial for Societal Impact of Artificial Life Section) Artificial Life 23(4), 550-551  

     Novel Approaches to Manipulating Bacterial Pathogen Biofilms: Whole-Systems Design Philosophy and Steering Microbial Evolution. (2016) Penn, A. S.  In Biophysics of Infection (pp. 347-360). Springer International Publishing.  

     A web-based tool for identifying strategic intervention points in complex systems. (2016) Moschoyiannis, S., Elia, N., Penn, A.S.  Lloyd, D. & Knight, C. EPTCSIn: Cassting Workshop at ETAPS 2016, 2016-04-02 – 2016-04-03, Eindhoven  

     Extending Participatory Fuzzy Cognitive Mapping with a Control Nodes Methodology: a case study of the development of a bio-based economy in the Humber region, UK (2016) A.S Penn, C.J.K. Knight, G. Chalkias, A.P.M. Velenturf, D.J.B. Lloyd In Including Stakeholders in

Environmental Modeling: Considerations, Methods and Applications, Edited by S Gray, S Gray, R Jordan, M Pallisimio   

     Comparing the effects of mutualism and competition on industrial districts (2014) C.J.K. Knight, A.S. Penn, R.B. Hoyle Physica A: Statistical Mechanics and its Applications 416:541–557. 

     Analyzing networks in industrial ecology: a review of Social-Material Network Analyses (2014) F.Schiller, A.S. Penn, L. Basson Journal of Cleaner Production  

     Exploring Space, Exploiting Opportunities: The Case for Analyzing Space in Industrial Ecology (2014) F.Schiller, A.S. Penn, A. Druckman, L. Basson, K. Royston Journal of Industrial Ecology  

     Sketching a network portrait of the Humber region (2014) A.S. Penn, P.D. Jensen, A. Woodward, L. Basson, F. Schiller, A. Druckman Complexity Linear and sigmoidal fuzzy cognitive maps: An analysis of fixed points (2014) C.J.K. Knight, D.J.B. Lloyd, A.S. Penn Applied Soft Computing; 15:193–202 

     Participatory development and analysis of a fuzzy cognitive map of the establishment of a biobased economy in the Humber region (2013) A.S. Penn, C.J.K. Knight, D.J.B. Lloyd, D. Avitabile, K. Kok, F. Schiller, A. Woodward, A. Druckman, L. Basson PLoS ONE 8(11):e78319 


CV Petra Ahrweiler

Professor of Sociology, Johannes Gutenberg University, 55128 Mainz, Germany

Petra Ahrweiler is Full Professor of Sociology of Technology and Innovation, Social Simulation at Johannes Gutenberg University Mainz, Germany. Her appointment at JGU started in 2013 with getting leave for obtaining the position of Director and CEO at the EA European Academy of Technology and Innovation Assessment in Bad Neuenahr-Ahrweiler, Germany, until 2017. Before 2013, she had been Full Professor of Technology and Innovation Management at Michael Smurfit School of Business, University College Dublin, Ireland, and Director of its Innovation Research Unit IRU. Furthermore, she was Research Fellow of the Engineering Systems Division at Massachusetts Institute of Technology (MIT), Cambridge/USA. She started her professional career with studying Social Sciences at the University of Hamburg, Germany. At Free University Berlin, Germany, she received her PhD for a study on Artificial Intelligence, and got her habilitation at the University of Bielefeld, Germany, for a study on simulation in Science and Technology Studies. Her main interests in research and teaching are the mutual relationship of new technologies and society, inter-organisational innovation networks, and agent-based models as methodological innovation in the Social Sciences. Petra Ahrweiler won various research prizes, has long experience in coordinating and completing international, mostly European research projects, publishes inter-disciplinarily in international journals, and has been awarded with fellowships of various scientific societies such as the German Academy of Technical Sciences acatech or AcademiaNet, the network of excellent female scientists in Germany.

2000 Habilitation (PD), Venia Legendi “General Sociology“ Bielefeld University, habilitation fellow of Deutsche Forschungsgemeinschaft DFG
1994 Doctorate (Dr. phil.) Freie Universität, Berlin,Germany, post-grad fellow of Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation)
1990 Diploma (Dipl.-Soz.) University of Hamburg, Germany, fellow of Studienstiftung des deutschen Volkes

Selected publications
Ahrweiler, P., Gilbert, N., Schrempf, B., Grimpe, B. and Jirotka, M. (2019) “The role of civil society organisations in European responsible research and innovation,” Journal of Responsible Innovation, 6(1), pp. 25–49. doi: 10.1080/23299460.2018.1534508.
Gilbert, N., Ahrweiler, P., Barbrook-Johnson, P., Narasimhan, K. P. and Wilkinson, H. (2018) “Computational Modelling of Public Policy: Reflections on Practice,” Journal of Artificial Societies and Social Simulation, 21(1), p. 14. doi: 10.18564/jasss.3669.
Ahrweiler, P. (2017): Agent-based Simulation for Science, Technology, and Innovation Policy. Scientometrics Vol. 110 (1): 391-415. DOI: 10.1007/s11192-016-2105-0.
Ahrweiler, P. (2017): Simulationsexperimente realexperimenteller Politik – der Gewinn der Zukunftsdimension im Computerlabor. In: Boeschen, S., Gross, M. and W. Krohn (eds.): Experimentelle Gesellschaft. Baden-Baden, 199-237. (Simulation Experiments of Real-World Experimental Policy – Gaining the Dimension of the Future in the computational Laboratory).
Ahrweiler, P., Pyka, A. and Gilbert, N. (2016) “Policy Modelling of Large-Scale Social Systems: Lessons from the SKIN Model of Innovation,” in Joining Complexity Science and Social Simulation for Innovation policy. Cambridge Scholars, pp. 156-0180.
Ahrweiler, P., Gilbert, N. and A. Pyka (eds.) (2016): Joining Complexity Science and Social Simulation for Innovation Policy. Agent-based Modelling using the SKIN Platform. Cambridge Scholars Publishing, UK.
Ahrweiler, P., Schilperoord, M., Pyka, A. and Gilbert, N. (2015) “Modelling Research Policy: Ex-Ante Evaluation of Complex Policy Instruments,” Journal of Artificial Societies and Social Simulation, 18(4), p. 5. doi: 10.18564/jasss.2927.
Leydesdorff, L. and P. Ahrweiler (2014): In Search of a Network Theory of Innovations – Relations, Positions, and Perspectives. Journal of the American Society for Information Science and Technology (JASIST) 65(11), 2359–2374.
Ahrweiler, P. and M. Keane (2013): Innovation Networks. Mind & Society 12: 73–90, DOI 10.1007/s11299-013-0123-7.
Ahrweiler, P. (2011): Modelling Theory Communities in Science. Journal of Artificial Societies and Social Simulation (JASSS), 14 (4), 8.
Ahrweiler, P., Pyka, A. and N. Gilbert (2011): A New Model for University-Industry Links in Knowledge-Based Economies. Journal of Product Innovation Management (JPIM), 28: 218–235.
Ahrweiler, P., Gilbert, N. and A. Pyka (2011): Agency and Structure. A social Simulation of knowledge-intensive Industries. Computational & Mathematical Organization Theory (CMOT) 17 (1): 59–76.


CV Kai Hamburger

Assistant Professor of Experimental Psychology and Cognitive Science, Justus Liebig University, Giessen, Germany

PD Dr. Kai Hamburger is Assistant Professor at the Department of Psychology, research group Experimental Psychology and Cognitive Science. There, he is the principal investigator in the field of Spatial Cognition, with strong connections to reasoning and consciousness. Furthermore, he is in charge of supervising the experimental (cognitive) research projects of students and PhD candidates. Furthermore, he is the institutional Erasmus+ coordinator (international student exchange).

Dr. Kai Hamburger is a psychologist by training. He has a strong background in Perceptual Psychology (PhD thesis) and the Cognitive Sciences (Habilitation). His research interests (mainly) cover the following areas:


  • Spatial Cognition (landmark-based wayfinding; multimodal processing; cognitive abilities and inter-individual differences; Neuroscience);
  • Reasoning (formal logic; everyday reasoning; cognitive biases; the influence of emotions on cognitive processes);
  • Consciousness (Philosophical issues on consciousness, such as consciousness as an illusion; experimental methods to investigate consciousness; Neuroscience; AI);
  • Visual illusions (perception; cognitive processes; Neuroscience) Qualifications


  • Diploma (Psychology), Johann Wolfgang Goethe University, Frankfurt, Germany, 2004
  • PhD (dr. rer. nat.), Justus Liebig University, Giessen, Germany, 2007
  • Habilitation (dr. habil. and PD, venia legendi in Psychology), Justus Liebig University, Giessen, Germany, 2015

Kai Hamburger has published over 50 refereed scholarly articles and book chapters. His H-index (a measure of the extent to which his work is cited by other scientists) is 16 (computed by Google Scholar).
Selected publications

Hamburger, K. (2020). “Visual landmarks are exaggerated: A theoretical and empirical view on the 14 September 2021 2
meaning of landmarks in human wayfinding,” Künstliche Intelligenz, 34, 557–562. 10.1007/s13218-020-00668-5

Hamburger, K. and Knauff, M. (2019). “Odors can serve as landmarks in human wayfinding,” Cognitive Science, 43, e12798. doi: 10.1111/cogs.12798

Hamburger, K., Ragni, M., Karimpur, H., Franzmeier, I., Wedell, F. and Knauff, M. (2018). “TMS applied to V1 can facilitate reasoning,” Experimental Brain Research, 236, 2277–2286. doi: 10.1007/s00221-018-5296-1

Karimpur, H. and Hamburger, K. (2018). “A rat in the sewer: How mental imagery interacts with object recognition,” PLoS One, 13(3), e0194227. doi: 10.1371/journal.pone.0194227

Balaban, C. Z., Karimpur, H., Röser, F. and Hamburger, K. (2017). ”Turn left where you felt unhappy: How affect influences landmark-based wayfinding,” Cognitive Processing, 18(2), 135–144. doi: 10.1007/s10339-017-0790-0

Karimpur, H., Röser, F. and Hamburger, K. (2016). ”Finding the return path: Landmark position effects and the influence of perspective,” Frontiers in Psychology, 7, 1956. doi: 10.3389/fpsyg.2016.01956

Karimpur, H. and Hamburger, K. (2016). “Multimodal integration of spatial information: The influence of object-related factors and self-reported strategies,” Frontiers in Psychology, 7, 1443. doi: 10.3389/fpsyg.2016.01443

Varga, A. L. and Hamburger, K. (2014). “Beyond type 1 vs. type 2 processing: The tri-dimensional way,” Frontiers in Psychology, 5, 993. doi: 10.3389/fpsyg. 2014.00993

Jung, N., Wranke, C., Hamburger, K. and Knauff, M. (2014). ”How emotions affect logical reasoning: Evidence from experiments with mood-manipulated participants, spider phobics, and people with exam anxiety,” Frontiers in Psychology, 5, 570. doi: 10.3389/fpsyg.2014.00570

Bucher, L., Röser, F., Nejasmic, J. and Hamburger, K. (2014). “Belief revision and way-finding,” Cognitive Processing, 15(1), 99–106.