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The sciences are different and the differences matter

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  • Nelson, Richard R.

Abstract

While biology often has been identified as the field of science where over the past half century progress has been most dramatic, physics continues to be the widely held model of what a field of science should aim to be like. The ideal hallmarks are quantitative characterization of the subject matter studied and mathematical specification of theory. The central argument of this paper is that the subject matter of many important fields of science is very different from that of physics – several of the physical sciences and much of biology, as well as the social sciences, are good examples – and that trying to ape the descriptive and analytic characteristics of physics in these fields hinders the development of understanding. Research on innovation is among this class.

Suggested Citation

  • Nelson, Richard R., 2016. "The sciences are different and the differences matter," Research Policy, Elsevier, vol. 45(9), pages 1692-1701.
  • Handle: RePEc:eee:respol:v:45:y:2016:i:9:p:1692-1701
    DOI: 10.1016/j.respol.2015.05.014
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    References listed on IDEAS

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    5. Nelson, Richard R. & Buterbaugh, Kristin & Perl, Marcel & Gelijns, Annetine, 2011. "How medical know-how progresses," Research Policy, Elsevier, vol. 40(10), pages 1339-1344.
    6. Morgan,Mary S., 2012. "The World in the Model," Cambridge Books, Cambridge University Press, number 9781107002975.
    7. Morgan,Mary S., 2012. "The World in the Model," Cambridge Books, Cambridge University Press, number 9780521176194.
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    Cited by:

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    2. Andrea Filippetti & Maria Savona, 2017. "University–industry linkages and academic engagements: individual behaviours and firms’ barriers. Introduction to the special section," The Journal of Technology Transfer, Springer, vol. 42(4), pages 719-729, August.
    3. Wesley M. Cohen & Henry Sauermann & Paula Stephan, 2020. "Not in the Job Description: The Commercial Activities of Academic Scientists and Engineers," Management Science, INFORMS, vol. 66(9), pages 4108-4117, September.
    4. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2024. "Towards sustainable agriculture: behaviors, spatial dynamics and policy in an evolutionary agent-based model," LEM Papers Series 2024/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Sabrina Backs & Markus Günther & Christian Stummer, 2019. "Stimulating academic patenting in a university ecosystem: an agent-based simulation approach," The Journal of Technology Transfer, Springer, vol. 44(2), pages 434-461, April.
    6. Geels, Frank W., 2022. "Causality and explanation in socio-technical transitions research: Mobilising epistemological insights from the wider social sciences," Research Policy, Elsevier, vol. 51(6).

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