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Open! - Methods and tools for community-based product development

  • Bonvoisin, Jeremy (Researcher)
  • Stark, Rainer (PI)
  • Jochem, Roland (PI)
  • Boujut, Jean François (PI)
  • Samuel, Karine (PI)
  • Send, Hendrik (PI)

Project: Other

Project Details

Description

The French-German research project "OPEN! Methods and tools for community-based product development" aims at:
- understanding open source product development, showing concrete evidence of this emerging practice and delivering detailed description of the phenomenon;
- modelling the open source product development process as an alternative to well-anchored industrial product development processes;
- providing concrete process support in the form of methods and IT-tools. It will particularly be focused on the concept of a open design platform.

The project started in March 2016 and is co-financed by the German and the French national research foundations DFG and ANR for a period of three years.
StatusFinished
Effective start/end date1/03/16 → 28/02/19

Keywords

  • open source hardware
  • open innovation
  • open design
  • open source
  • community-based product development
  • commons-based peer production

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  • CubeFactory2 – an Off-Grid and Circular 3D-Printing Mini-Factory

    Muschard, B. & Bonvoisin, J., 8 Jul 2019, In: Journal of Open Hardware. 3, 1, p. 3-15 12 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    199 Downloads (Pure)

  • Harnessing the Synergy Potential of Open Source Hardware Communities

    Bonvoisin, J., Mies, R. & Jochem, R., 2019, Co-Creation - Reshaping Business and Society in the Era of Bottom-up Economics. Springer International Publishing, p. 129-145 (Management for Professionals).

    Research output: Chapter or section in a book/report/conference proceeding › Book chapter

    15   Link opens in a new tab Citations (SciVal)

  • Qualitätsverbesserung in Open-Source-Hardware-Communities

    Translated title of the contribution: Quality improvement in Open-Source-Hardware-CommunitiesBonvoisin, J., Mies, R., von Damaros, L. & Jochem, R., 2019, Potenziale Künstlicher Intelligenz für die Qualitätswissenschaft. Springer Heidelberg, p. 57-72 16 p.

    Research output: Chapter or section in a book/report/conference proceeding › Book chapter

View all 11 research outputs