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Entrepreneurial experiments in science policy: Analyzing the Human Genome Project

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  • Huang, Kenneth G.
  • Murray, Fiona E.

Abstract

We re-conceptualize the role of science policy makers, envisioning and illustrating their move from being simple investors in scientific projects to entrepreneurs who create the conditions for entrepreneurial experiments and initiate them. We argue that reframing science policy around the notion of conducting entrepreneurial experiments - experiments that increase the diversity of technical, organizational and institutional arrangements in which scientific research is conducted - can provide policy makers with a wider repertoire of effective interventions. To illustrate the power of this approach, we analyze the Human Genome Project (HGP) as a set of successful, entrepreneurial experiments in organizational and institutional innovation. While not designed as such, the HGP was an experiment in funding a science project across a variety of organizational settings, including seven public and one private (Celera) research centers. We assess the major characteristics and differences between these organizational choices, using a mix of qualitative and econometric analyses to examine their impact on scientific progress. The planning and direction of the Human Genome Project show that policy makers can use the levers of entrepreneurial experimentation to transform scientific progress, much as entrepreneurs have transformed economic progress.

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  • Huang, Kenneth G. & Murray, Fiona E., 2010. "Entrepreneurial experiments in science policy: Analyzing the Human Genome Project," Research Policy, Elsevier, vol. 39(5), pages 567-582, June.
  • Handle: RePEc:eee:respol:v:39:y:2010:i:5:p:567-582
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    1. Kenneth Guang-Lih Huang & Xuesong Geng & Heli Wang, 2017. "Institutional Regime Shift in Intellectual Property Rights and Innovation Strategies of Firms in China," Organization Science, INFORMS, vol. 28(2), pages 355-377, April.
    2. Milan Miric & Nan Jia & Kenneth G. Huang, 2023. "Using supervised machine learning for large‐scale classification in management research: The case for identifying artificial intelligence patents," Strategic Management Journal, Wiley Blackwell, vol. 44(2), pages 491-519, February.
    3. Kenneth G Huang & Jiatao Li, 2019. "Adopting knowledge from reverse innovations? Transnational patents and signaling from an emerging economy," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(7), pages 1078-1102, September.
    4. Brian W. Head, 2011. "Governance for sustainable regions: can government meet the innovation policy challenge?," Regional Science Policy & Practice, Wiley Blackwell, vol. 3(3), pages 219-230, August.
    5. Kurakova, Natalia (Куракова, Наталия) & Zinov, Vladimir (Зинов, Владимир) & Komarov, Vladimir (Комаров, Владимир) & Pavlov, Pavel (Павлов, Павел), 2014. "Long-term projections as a tool for the formation of science and technology policy [Долгосрочные Прогнозы Как Инструмент Формирования Научно-Технологической Политики]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 7-32.
    6. Peter-J. Jost & Stefanie Schubert & Miriam Zschoche, 2015. "Incumbent positioning as a determinant of strategic response to entry," Small Business Economics, Springer, vol. 44(3), pages 577-596, March.

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