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Scientific Cooperation Engineering

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Integrative Production Technology

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Abstract

Scientific Cooperation Engineering researches, fosters and supports scientific cooperation on all hierarchical levels and beyond scientific disciplines as a key resource for innovation in the Cluster of Excellence. State-of-the-art research methods—such as structural equation models, success models, or studies on success factors—that are frequently used in IS research are applied to create profound knowledge and insights in the contribution and optimal realization of scientific inter and trans-disciplinary communication and cooperation. A continuous formative evaluation is used to derive and explore insights into interdisciplinary collaboration and innovation processes from a management perspective. In addition, actor-based empirical studies are carried out to explore critical factors for interdisciplinary cooperation and intercultural diversity management. Based on these results, workflows, physical networking events and tailor-made training programs are created and iteratively optimized towards the cluster’s needs. As Scientific Cooperation Engineering aims to gain empirical and data-driven knowledge, a Scientific Cooperation Portal and a prototypic flowchart application are under development to support workflows and project management. Furthermore, data science methods are currently implemented to recognize synergetic patterns based on bibliometric information and topical proximity, which is analyzed via project terminologies.

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Notes

  1. 1.

    http://piwik.org.

  2. 2.

    Due to several user configurations, not all sessions were measured—e.g., if JavaScript was blocked. Also, mobile sessions were not included.

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Authors and Affiliations

  1. Cybernetics Lab IMA/ZLW & IfU, RWTH Aachen University, Dennewartstraße 27, 52068, Aachen, Germany

    Sabina Jeschke, Anja Richert, Claudia Jooß, Sarah L. Müller & Thomas Thiele

  2. Department of Ferrous Metallurgy (IEHK), RWTH Aachen University, Intzestr. 1, 52072, Aachen, Germany

    Wolfgang Bleck, Kirsten Dahmen, Ulrich Prahl & Mamta Sharma

  3. Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Steinbachstraße 19, 52074, Aachen, Germany

    Günther Schuh

  4. Fraunhofer Institute for Laser Technology (ILT), Steinbachstraße 15, 52074, Aachen, Germany

    Wolfgang Schulz & Ulrich Jansen

  5. Human-Computer Interaction Center (HCIC), RWTH Aachen University, Campus-Boulevard 57, 52074, Aachen, Germany

    Martina Ziefle, André Calero Valdez & Anne Kathrin Schaar

  6. Fraunhofer Institute for Production Technology (IPT), Steinbachstraße 17, 52074, Aachen, Germany

    André Bräkling

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  1. Lehrstuhl für Werkzeugmaschinen, RWTH Aachen, Aachen, Nordrhein-Westfalen, Germany

    Christian Brecher

  2. RWTH Aachen, Werkzeugmaschinenlabor WZL der RWTH Aachen, Aachen, Germany

    Denis Özdemir

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Jeschke, S. et al. (2017). Scientific Cooperation Engineering. In: Brecher, C., Özdemir, D. (eds) Integrative Production Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-47452-6_11

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