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2017 | OriginalPaper | Chapter

11. Scientific Cooperation Engineering

Authors : Sabina Jeschke, Wolfgang Bleck, Anja Richert, Günther Schuh, Wolfgang Schulz, Martina Ziefle, André Bräkling, André Calero Valdez, Kirsten Dahmen, Ulrich Jansen, Claudia Jooß, Sarah L. Müller, Ulrich Prahl, Anne Kathrin Schaar, Mamta Sharma, Thomas Thiele

Published in: Integrative Production Technology

Publisher: Springer International Publishing

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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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Footnotes
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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Metadata
Title
Scientific Cooperation Engineering
Authors
Sabina Jeschke
Wolfgang Bleck
Anja Richert
Günther Schuh
Wolfgang Schulz
Martina Ziefle
André Bräkling
André Calero Valdez
Kirsten Dahmen
Ulrich Jansen
Claudia Jooß
Sarah L. Müller
Ulrich Prahl
Anne Kathrin Schaar
Mamta Sharma
Thomas Thiele
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-47452-6_11