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Risk in science: The socialization of risk-taking in early-career training

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  • SHIBAYAMA, Sotaro
  • MATTSSON, Pauline
  • BROSTRÖM, Anders

Abstract

Science is a risky business, and risk-taking is a critical disposition for scientists. This study uses a combination of survey and bibliometric data to measure the degree of individual scientists' risk-taking and investigate its determinants. In particular, we focus on academic training as a critical arena for the socialization of risk-taking and examine whether and how risk-taking is transmitted from one generation to the next. Drawing on a sample of PhD students and their supervisors in life sciences in Sweden, we find that students' risk-taking is significantly associated with that of their supervisors, and that this association is stronger when supervisors provide more frequent mentoring. Importantly, the association persists for 10 years even after students leave the PhD affiliation and switch research topics. Approximately 25 % of the variance in students' risk-taking can be attributed to the variance in supervisors' risk-taking. We find other determinants of students' risk-taking such as funding conditions and previous work experiences. As endogeneity due to selection is a concern, we employ the propensity score matching technique and obtained consistent results. We also exploit cases in which a supervisor was replaced by another supervisor, showing that the longer the initial supervisor is in place, the stronger the association is with the initial supervisor's risk-taking and the weaker with that of their replacement. These findings suggest the critical role of early-career academic training in shaping scientists' risk-taking and passing down the disposition to the next generation.

Suggested Citation

  • SHIBAYAMA, Sotaro & MATTSSON, Pauline & BROSTRÖM, Anders, 2026. "Risk in science: The socialization of risk-taking in early-career training," Research Policy, Elsevier, vol. 55(1).
    • Handle: RePEc:eee:respol:v:55:y:2026:i:1:s0048733325001878
    DOI: 10.1016/j.respol.2025.105358
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    1. Shibayama, Sotaro, 2019. "Sustainable development of science and scientists: Academic training in life science labs," Research Policy, Elsevier, vol. 48(3), pages 676-692.
    2. Terttu Luukkonen, 2012. "Conservatism and risk-taking in peer review: Emerging ERC practices," Research Evaluation, Oxford University Press, vol. 21(1), pages 48-60, February.
    3. Lingfei Wu & Dashun Wang & James A. Evans, 2019. "Large teams develop and small teams disrupt science and technology," Nature, Nature, vol. 566(7744), pages 378-382, February.
    4. Susan K. Gardner, 2008. "“What's too much and what's too little?”: The Process of Becoming an Independent Researcher in Doctoral Education," The Journal of Higher Education, Taylor & Francis Journals, vol. 79(3), pages 326-350, May.
    5. Chiara Franzoni & Giuseppe Scellato & Paula Stephan, 2018. "Context Factors and the Performance of Mobile Individuals in Research Teams," Journal of Management Studies, Wiley Blackwell, vol. 55(1), pages 27-59, January.
    6. Kerry Dwan & Douglas G Altman & Juan A Arnaiz & Jill Bloom & An-Wen Chan & Eugenia Cronin & Evelyne Decullier & Philippa J Easterbrook & Erik Von Elm & Carrol Gamble & Davina Ghersi & John P A Ioannid, 2008. "Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias," PLOS ONE, Public Library of Science, vol. 3(8), pages 1-31, August.
    7. Catherine E. Althaus, 2005. "A Disciplinary Perspective on the Epistemological Status of Risk," Risk Analysis, John Wiley & Sons, vol. 25(3), pages 567-588, June.
    8. Yang Wang & Benjamin F. Jones & Dashun Wang, 2019. "Early-career setback and future career impact," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    9. Veugelers, Reinhilde & Stephan, Paula & Wang, Jian, 2022. "Do funding agencies select and enable risky research: Evidence from ERC using novelty as a proxy of risk taking," CEPR Discussion Papers 17684, Centre for Economic Policy Research.
    10. Chris M. Golde, 2005. "The Role of the Department and Discipline in Doctoral Student Attrition: Lessons from Four Departments," The Journal of Higher Education, Taylor & Francis Journals, vol. 76(6), pages 669-700, November.
    11. Nigel Nicholson & Emma Soane & Mark Fenton-O'Creevy & Paul Willman, 2005. "Personality and domain-specific risk taking," Journal of Risk Research, Taylor & Francis Journals, vol. 8(2), pages 157-176, March.
    12. Maria P. Roche, 2023. "Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees’ Outcomes," Organization Science, INFORMS, vol. 34(2), pages 959-986, March.
    13. Yifang Ma & Satyam Mukherjee & Brian Uzzi, 2020. "Mentorship and protégé success in STEM fields," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(25), pages 14077-14083, June.
    14. Wang, Jian & Shibayama, Sotaro, 2022. "Mentorship and creativity: Effects of mentor creativity and mentoring style," Research Policy, Elsevier, vol. 51(3).
    15. Steffen Andersen & Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2008. "Eliciting Risk and Time Preferences," Econometrica, Econometric Society, vol. 76(3), pages 583-618, May.
    16. Koppman, Sharon & Leahey, Erin, 2019. "Who moves to the methodological edge? Factors that encourage scientists to use unconventional methods," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    17. Zuhair, Sugu M. M. & Taylor, Daniel B. & Kramer, Randall A., 1992. "Choice of utility function form: its effect on classification of risk preferences and the prediction of farmer decisions," Agricultural Economics, Blackwell, vol. 6(4), pages 333-344, April.
    18. Florian Ederer & Gustavo Manso, 2013. "Is Pay for Performance Detrimental to Innovation?," Management Science, INFORMS, vol. 59(7), pages 1496-1513, July.
    19. Michael H. MacRoberts & Barbara R. MacRoberts, 1989. "Problems of citation analysis: A critical review," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 40(5), pages 342-349, September.
    20. Sotaro Shibayama & Deyun Yin & Kuniko Matsumoto, 2021. "Measuring novelty in science with word embedding," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-16, July.
    21. Peter P. Wakker, 2008. "Explaining the characteristics of the power (CRRA) utility family," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1329-1344.
    22. Broström, Anders, 2019. "Academic breeding grounds: Home department conditions and early career performance of academic researchers," Research Policy, Elsevier, vol. 48(7), pages 1647-1665.
    23. Yian Yin & Yang Wang & James A. Evans & Dashun Wang, 2019. "Quantifying the dynamics of failure across science, startups and security," Nature, Nature, vol. 575(7781), pages 190-194, November.
    24. Sotaro Shibayama & Yoshie Kobayashi, 2017. "Impact of Ph.D. training: a comprehensive analysis based on a Japanese national doctoral survey," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 387-415, October.
    25. Peter P. Wakker, 2008. "Explaining the characteristics of the power (CRRA) utility family," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1329-1344, December.
    26. Thomas Heinze, 2008. "How to sponsor ground-breaking research: A comparison of funding schemes," Science and Public Policy, Oxford University Press, vol. 35(5), pages 302-318, June.
    27. Yaqub, Ohid, 2018. "Serendipity: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 47(1), pages 169-179.
    28. Nami Kim & Jongseon Lee, 2020. "Who is leaping through failure? The influence of innovation characteristics on learning from failure," Industry and Innovation, Taylor & Francis Journals, vol. 27(9), pages 1014-1039, October.
    29. Wang, Jian & Veugelers, Reinhilde & Stephan, Paula, 2017. "Bias against novelty in science: A cautionary tale for users of bibliometric indicators," Research Policy, Elsevier, vol. 46(8), pages 1416-1436.
    30. Terje Aven, 2011. "On Some Recent Definitions and Analysis Frameworks for Risk, Vulnerability, and Resilience," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 515-522, April.
    31. R. Dean Malmgren & Julio M. Ottino & Luís A. Nunes Amaral, 2010. "The role of mentorship in protégé performance," Nature, Nature, vol. 465(7298), pages 622-626, June.
    32. Pierre Azoulay & Wesley H. Greenblatt, 2025. "Does Peer Review Penalize Scientific Risk Taking? Evidence from NIH Grant Renewals," NBER Working Papers 33495, National Bureau of Economic Research, Inc.
    33. Daniele Fanelli, 2010. "Do Pressures to Publish Increase Scientists' Bias? An Empirical Support from US States Data," PLOS ONE, Public Library of Science, vol. 5(4), pages 1-7, April.
    34. Stanley Kaplan & B. John Garrick, 1981. "On The Quantitative Definition of Risk," Risk Analysis, John Wiley & Sons, vol. 1(1), pages 11-27, March.
    35. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    36. Fiona Lee & Amy C. Edmondson & Stefan Thomke & Monica Worline, 2004. "The Mixed Effects of Inconsistency on Experimentation in Organizations," Organization Science, INFORMS, vol. 15(3), pages 310-326, June.
    37. Lee, You-Na & Walsh, John P. & Wang, Jian, 2015. "Creativity in scientific teams: Unpacking novelty and impact," Research Policy, Elsevier, vol. 44(3), pages 684-697.
    38. Aled M. Edwards & Ruth Isserlin & Gary D. Bader & Stephen V. Frye & Timothy M. Willson & Frank H. Yu, 2011. "Too many roads not taken," Nature, Nature, vol. 470(7333), pages 163-165, February.
    39. Corsini, Alberto & Pezzoni, Michele & Visentin, Fabiana, 2022. "What makes a productive Ph.D. student?," Research Policy, Elsevier, vol. 51(10).
    40. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
    41. Shibayama, Sotaro & Baba, Yasunori & Walsh, John P., 2015. "Organizational design of University laboratories: Task allocation and lab performance in Japanese bioscience laboratories," Research Policy, Elsevier, vol. 44(3), pages 610-622.
    42. Jean F. Liénard & Titipat Achakulvisut & Daniel E. Acuna & Stephen V. David, 2018. "Intellectual synthesis in mentorship determines success in academic careers," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
    43. Emory Morrison & Elizabeth Rudd & William Zumeta & Maresi Nerad, 2011. "What Matters for Excellence in PhD Programs? Latent Constructs of Doctoral Program Quality Used by Early Career Social Scientists," The Journal of Higher Education, Taylor & Francis Journals, vol. 82(5), pages 535-563, September.
    44. Peng, Mike W. & Lee, Seung-Hyun & Hong, Sungjin J., 2014. "Entrepreneurs as intermediaries," Journal of World Business, Elsevier, vol. 49(1), pages 21-31.
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