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Return on investment for open source scientific hardware development

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  • J. M. Pearce

Abstract

The availability of free and open source hardware designs that can be replicated with low-cost 3D printers provides large values to scientists who need highly-customized low-volume production scientific equipment. Digital manufacturing technologies have only recently become widespread and the return on investment (ROI) was not clear, so funding for open hardware development was historically sparse. This paper clarifies a method for determining an ROI for the development of scientific free and open source hardware (FOSH). By using an open source hardware design that can be manufactured digitally, the relatively minor development costs result in enormous ROIs for the scientific community. A case study is presented of a syringe pump released under open license, which results in ROIs for funders ranging from hundreds to thousands of percent after only a few months. It is clear that policies encouraging FOSH scientific hardware development should be adopted by organizations interested in maximizing return on public investments for science.

Suggested Citation

  • J. M. Pearce, 2016. "Return on investment for open source scientific hardware development," Science and Public Policy, Oxford University Press, vol. 43(2), pages 192-195.
    • Handle: RePEc:oup:scippl:v:43:y:2016:i:2:p:192-195.
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    File URL: http://hdl.handle.net/10.1093/scipol/scv034
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    References listed on IDEAS

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    1. Joshua M. Pearce, 2012. "Make nanotechnology research open-source," Nature, Nature, vol. 491(7425), pages 519-521, November.
    2. Dale Dougherty, 2012. "The Maker Movement," Innovations: Technology, Governance, Globalization, MIT Press, vol. 7(3), pages 11-14, July.
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    Cited by:

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    3. Anurag Anurag & Jiemin Zhang & Jephias Gwamuri & Joshua M. Pearce, 2017. "General Design Procedures for Airport-Based Solar Photovoltaic Systems," Energies, MDPI, vol. 10(8), pages 1-19, August.
    4. Marcos Geraldo Gomes & Victor Hugo Carlquist da Silva & Luiz Fernando Rodrigues Pinto & Plinio Centoamore & Salvatore Digiesi & Francesco Facchini & Geraldo Cardoso de Oliveira Neto, 2020. "Economic, Environmental and Social Gains of the Implementation of Artificial Intelligence at Dam Operations toward Industry 4.0 Principles," Sustainability, MDPI, vol. 12(9), pages 1-19, April.

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