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22.11.17

Internationale Bücher und Buchkapitel mit Peer Review

Ahrweiler, P. & Gilbert, N., 2015. The Quality of Social Simulation - An Example from Research Policy Modelling. In M. Janssen, M. Wimmer, & A. Deljoo, eds. Policy Practice and Digital Science - Integrating Complex Systems, Social Simulation and Public Administration in Policy Research. Heidelberg/New York: Springer, pp. 35–55.

Ahrweiler, P., Gilbert, N. & Pyka, A. eds., 2016. Joining Complexity Science and Social Simulation for Innovation Policy. Agent-based Modelling using the SKIN Platform, Newcastle, UK: Cambridge Scholars Publishing.

Ahrweiler, P., Gilbert, N. & Pyka, A., 2015. Innovation Policy Modeling with SKIN. In E. Johnston, ed. Governance in the Information Era: Theory and Practice of Policy Informatics. London: Routledge, pp. 229–246.

Ahrweiler, P., Gilbert, N. & Pyka, A., 2016. Policy Modelling of Large-Scale Social Systems: Lessons from the SKIN Model of Innovation. In P. Ahrweiler, N. Gilbert, & A. Pyka, eds. Joining Complexity Science and Social Simulation for Innovation Policy. Agent-based Modelling using the SKIN Platform. Newcastle, UK: Cambridge Scholars Publishing, pp. 156–180.

Ahrweiler, P. & Keane, M., 2014. Innovation Networks (Reprint). In M. Shamiyeh & DOM Research Laboratory, eds. Driving Desired Futures: Turning Design Thinking into Real Innovation. Basel: Birkhaeuser, pp. 278–294.

Ahrweiler, P. & Pyka, A., 2014. Innovation. In N. Saam & N. Braun, eds. Handbuch Modellbildung und Simulation in den Sozialwissenschaften. Wiesbaden: VS-Verlag, pp. 855–885.

Ahrweiler, P., Pyka, A. & Gilbert, N., 2014. Simulating Knowledge Dynamics in Innovation Networks: An Introduction. In N. Gilbert, P. Ahrweiler, & A. Pyka, eds. Simulating Knowledge Dynamics in Innovation Networks. Heidelberg/New York: Springer, pp. 1–14.

Ahrweiler, P. et al., 2014. Testing Policy Options for Horizon 2020 with SKIN. In N. Gilbert, P. Ahrweiler, & A. Pyka, eds. Simulating Knowledge Dynamics in Innovation Networks. Heidelberg/New York: Springer, pp. 155–184.

Droste-Franke, B., 2015. Review of the Need for Storage Capacity Depending on the Share of Renewable Energies. In P. Moseley & J. Garche, eds. Electrochemical Energy Storage for Renewable Sources and Grid Balancing. Amsterdam: Elsevier, pp. 61–68.

Droste-Franke, B. et al., 2013. Explaining the Lack of Dynamics in the Diffusion of Small Stationary Fuel Cells. In I. H. Yetkiner, M. T. Pamukcu, & E. Erdil, eds. Industrial Dynamics, Innovation Policy, and Economic Growth through Technological Advancements. Hershey, USA: Information Science Reference, pp. 259–276.

Gethmann, C.F. et al., 2014. Interdisciplinary Research and Transdisciplinary Validity Claims, Berlin/Heidelberg: Springer.

Gilbert, N., Ahrweiler, P. & Pyka, A. eds., 2014. Simulating Knowledge Dynamics in Innovation Networks, Springer: Heidelberg/New York.

Lingner, S., 2015. Exploring `Responsibility´ in Research and Innovation: The Perspective from Technology Assessment. In D. M. Bowman et al., eds. Practices of Innovation and Responsibility: Insights from Methods, Governance and Action. Berlin: IOS Press/AKA Verlag, pp. 99–110.

Lingner, S., 2014. The Organisation of Interdisciplinary Studies and Research. In C. F. Gethmann et al., eds. Interdisciplinary Research and Transdisciplinary Validity Claims. Berlin/Heidelberg: Springer, pp. 97–108.

Lingner, S., 2016. Interdisciplinary Integration in Technology Assessment. A Report from Practise. In C. Scherz et al., eds. The Next Horizon of Technology Assessment. Prague Technology Centre, pp. 359–364.

Majstorovic, D. et al., 2015. Features and Added Value of Simulation Models Using Different Modelling Approaches Supporting Policy-Making: A Comparative Analysis. In M. Janssen, M. Wimmer, & A. Deljoo, eds. Policy Practice and Digital Science - Integrating Complex Systems, Social Simulation and Public Administration in Policy Research. Heidelberg/New York: Springer, pp. 95–123.

Schaffrin, A. & Schmidt-Catran, A., 2017. Changing Concern about Environmental Threats and Risks – A Longitudinal and Multilevel Perspective on the Relationship Between Values and Interests. In A. Telesiene & M. Gross, eds. Green European: Environmental Behaviour and Attitudes in Europe in a Historical and Cross-Cultural Comparative Perspective. London, New York: Routledge, pp. 56–88.

Schaffrin, A. & Fohr, G., 2016. The Local Perspective on Energy Transition and Innovation. In Innovation Networks for Regional Development. Concepts, Cases and Agent-Based-Models. Economic Complexity and Evolution. Springer International Publishing, pp. 75–95.

Schilperoord, M. & Ahrweiler, P., 2014. Towards a Prototype Policy Laboratory for Simulating Innovation Networks. In N. Gilbert, P. Ahrweiler, & A. Pyka, eds. Simulating Knowledge Dynamics in Innovation Networks. Heidelberg/New York: Springer, pp. 185–198.

Schilperoord, M., 2016. Start-Ups When and Where? Using the SKIN Platform for Modelling the Birth of New Firms. In P. Ahrweiler, N. Gilbert, & A. Pyka, eds. Joining Complexity Science and Social Simulation for Innovation Policy. Agent-based Modelling using the SKIN Platform. Cambridge Scholars Publishing, pp. 326–348.

Schrempf, B., 2016. European and National Innovation Agendas. In P. Ahrweiler, N. Gilbert, & A. Pyka, eds. Joining Complexity Science and Social Simulation for Innovation Policy. Cambridge Scholars Publishing, pp. 2–47.

Schrempf, B. & Dolgova, E., 2015. Nanotechnology in Ireland – An Analysis of the Patent Co-Classification Network. In D. Assimakopoulos, I. Oshri, & K. Pandza, eds. Managing Emerging Technologies for Socio-Economic Impact. Cheltenham/Northampton: Edward Elgar, pp. 153–167.

Schrempf, B. & Ahrweiler, P., 2014. Modelling the Emergence of a General-Purpose Technology from a Knowledge-Based Perspective - the Case of Nanotechnology. In N. Gilbert, P. Ahrweiler, & A. Pyka, eds. Simulating Knowledge Dynamics in Innovation Networks. Heidelberg/New York: Springer, pp. 201–216.