Bush, V. Science, the Endless Frontier: A Report to the President (US Government Printing Office, 1945).
Omenn, G. S. Grand challenges and great opportunities in science, technology, and public policy. Science 314, 1696–1704 (2006).
Ahmadpoor, M. & Jones, B. F. The dual frontier: patented inventions and prior scientific advance. Science 357, 583–587 (2017).
Yang, P. & Wang, X. COVID-19: a new challenge for human beings. Cell. Mol. Immunol. 17, 555–557 (2020).
Field, C. B. et al. (eds) Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report of the Intergovernmental Panel on Climate Change (Cambridge Univ. Press, 2012).
March, J. G. Exploration and exploitation in organizational learning. Org. Sci. 2, 71–87 (1991).
Azoulay, P., Fons-Rosen, C. & Zivin, J. S. G. Does science advance one funeral at a time? Am. Econ. Rev. 109, 2889–2920 (2019).
Uzzi, B., Mukherjee, S., Stringer, M. & Jones, B. Atypical combinations and scientific impact. Science 342, 468–472 (2013).
Rosenkopf, L. & Nerkar, A. Beyond local search: boundary‐spanning, exploration, and impact in the optical disk industry. Strateg. Manag. J. 22, 287–306 (2001).
Fleming, L. Recombinant uncertainty in technological search. Manag. Sci. 47, 117–132 (2001).
Liu, L., Dehmamy, N., Chown, J., Giles, C. L. & Wang, D. Understanding the onset of hot streaks across artistic, cultural, and scientific careers. Nat. Commun. 12, 5392 (2021).
Jones, B. F. The burden of knowledge and the “death of the renaissance man”: is innovation getting harder? Rev. Econ. Stud. 76, 283–317 (2009).
Leahey, E. Not by productivity alone: how visibility and specialization contribute to academic earnings. Am. Sociol. Rev. 72, 533–561 (2007).
Arts, S. & Fleming, L. Paradise of novelty—or loss of human capital? Exploring new fields and inventive output. Org. Sci. 29, 1074–1092 (2018).
Gross, D. P. & Sampat B. N. The economics of crisis innovation policy: a historical perspective. AEA Pap. Proc. 111, 346–350 (2021).
Bornmann, L. What is societal impact of research and how can it be assessed? A literature survey. J. Am. Soc. Inf. Sci. Technol. 64, 217–233 (2013).
Cameron, D. E., Bashor, C. J. & Collins, J. J. A brief history of synthetic biology. Nat. Rev. Microbiol. 12, 381–390 (2014).
National Academies of Sciences, Engineering, and Medicine. Global Change Research Needs and Opportunities for 2022-2031 (National Academies Press, 2021).
Myers, K. The elasticity of science. Am. Econ. J. Appl. Econ. 12, 103–134 (2020).
Teece, D. J., Pisano, G. & Shuen, A. Dynamic capabilities and strategic management. Strateg. Manag. J. 18, 509–533 (1997).
Saxenian, A. Regional Advantage: Culture and Competition in Silicon Valley and Route 128 (Harvard Univ. Press, 1996).
Chatterji, A. K. Spawned with a silver spoon? Entrepreneurial performance and innovation in the medical device industry. Strateg. Manag. J. 30, 185–206 (2009).
Azoulay, P., Zivin, J. S. G. & Manso, G. Incentives and creativity: evidence from the academic life sciences. RAND J. Econ. 42, 527–554 (2011).
Kaplan, D. How to improve peer review at NIH: a revamped process will engender innovative research. Scientist 19, 10–11 (2005).
Kuhn, T. S. The Structure of Scientific Revolutions (Univ. Chicago Press, 1962).
Hull, D. L., Tessner, P. D. & Diamond, A. M. Planck’s principle. Science 202, 717–723 (1978).
Banerjee, A. V. A simple model of herd behavior. Q. J. Econ. 107, 797–817 (1992).
Jones, B. F. in Innovation Policy and the Economy Vol. 11 (eds Lerner, J. & Stern, S.) 103–131 (Univ. Chicago Press, 2011).
Jia, T., Wang, D. & Szymanski, B. K. Quantifying patterns of research-interest evolution. Nat. Hum. Behav. 1, 0078 (2017).
Foster, J. G., Rzhetsky, A. & Evans, J. A. Tradition and innovation in scientists’ research strategies. Am. Sociol. Rev. 80, 875–908 (2015).
Stoeger, T. & Amaral, L. A. N. Meta-research: COVID-19 research risks ignoring important host genes due to pre-established research patterns. eLife 9, e61981 (2020).
Zuckerman, E. W., Kim, T.-Y., Ukanwa, K. & von Rittmann, J. Robust identities or nonentities? Typecasting in the feature-film labor market. Am. J. Sociol. 108, 1018–1073 (2003).
Lee, Y.-N., Walsh, J. P. & Wang, J. Creativity in scientific teams: unpacking novelty and impact. Res. Policy 44, 684–697 (2015).
Kelly, B., Papanikolaou, D., Seru, A. & Taddy, M. Measuring technological innovation over the long run. Am. Econ. Rev. Insights 3, 303–320 (2021).
Zeng, A. et al. Increasing trend of scientists to switch between topics. Nat. Commun. 10, 3439 (2019).
Lahiri, A. & Wadhwa, A. When do serial entrepreneurs found innovative ventures? Evidence from patent data. Small Bus. Econ. 57, 1973–1993 (2021).
Azoulay, P., Jones, B. F., Kim, J. D. & Miranda, J. Age and high-growth entrepreneurship. Am. Econ. Rev. Insights 2, 65–82 (2020).
Manso, G. Motivating innovation. J. Finance 66, 1823–1860 (2011).
Merton, R. K. The Matthew effect in science. Science 159, 56–63 (1968).
Bol, T., de Vaan, M. & van de Rijt, A. The Matthew effect in science funding. Proc. Natl Acad. Sci. USA 115, 4887–4890 (2018).
Leung, M. D. Dilettante or renaissance person? How the order of job experiences affects hiring in an external labor market. Am. Sociol. Rev. 79, 136–158 (2014).
Wuchty, S., Jones, B. F. & Uzzi, B. The increasing dominance of teams in production of knowledge. Science 316, 1036–1039 (2007).
Marx, M. & Fuegi, A. Reliance on science: worldwide front‐page patent citations to scientific articles. Strateg. Manag. J. 41, 1572–1594 (2020).
Kogan, L., Papanikolaou, D., Seru, A. & Stoffman, N. Technological innovation, resource allocation, and growth. Q. J. Econ. 132, 665–712 (2017).
Kovács, B., Hsu, G. & Sharkey, A. The stickiness of category labels: audience perception and evaluation of producer repositioning in creative markets. Manag. Sci. 70, 6315–6335 (2024).
Petersen, A. M., Jung, W.-S., Yang, J.-S. & Stanley, H. E. Quantitative and empirical demonstration of the Matthew effect in a study of career longevity. Proc. Natl Acad. Sci. USA 108, 18–23 (2011).
Jones, B., Reedy E. J. & Weinberg B. A. Age and scientific genius. Working paper 19866 (National Bureau of Economic Research, 2014).
Furman, J. L. & Stern, S. Climbing atop the shoulders of giants: the impact of institutions on cumulative research. Am. Econ. Rev. 101, 1933–1963 (2011).
Koyré, A. An unpublished letter of Robert Hooke to Isaac Newton. Isis 43, 312–337 (1952).
Einstein, A. The World As I See It (Citadel, 1949).
Schweitzer, S. & Brendel, J. in Innovation and Entrepreneurship in the Academia (eds Lehmann, E. E., Meoli, M. & Paleari, S.) Ch. 3 (Routledge, 2022).
Schumpeter, J. A. Capitalism, Socialism, and Democracy (Harper & Brothers, 1942).
Usher, A. P. A History of Mechanical Inventions (Courier, 1954).
Weitzman, M. L. Recombinant growth. Q. J. Econ. 113, 331–360 (1998).
He, Y. & Luo, J. The novelty ‘sweet spot’ of invention. Des. Sci. 3, e21 (2017).
Fang, F. C., Steen, R. G. & Casadevall, A. Misconduct accounts for the majority of retracted scientific publications. Proc. Natl Acad. Sci. USA 109, 17028–17033 (2012).
Lu, S. F., Jin, G. Z., Uzzi, B. & Jones, B. The retraction penalty: evidence from the Web of Science. Sci. Rep. 3, 3146 (2013).
Azoulay, P., Furman, J. L. & Krieger, F. M. Retractions. Rev. Econ. Stat. 97, 1118–1136 (2015).
Blackwell, M., Iacus, S., King, G. & Porro, G. Cem: coarsened exact matching in Stata. Stata J. 9, 524–546 (2009).
Open Science Collaboration Estimating the reproducibility of psychological science. Science 349, aac4716 (2015).
Zhang, Y., Cai, X., Fry, C. V., Wu, M. & Wagner, C. S. Topic evolution, disruption and resilience in early COVID-19 research. Scientometrics 126, 4225–4253 (2021).
Ioannidis, J. P. A., Bendavid, E., Salholz-Hillel, M., Boyack, K. W. & Baas, J. Massive covidization of research citations and the citation elite. Proc. Natl Acad. Sci. USA 119, e2204074119 (2022).
Ioannidis, J. P. A., Salholz-Hillel, M., Boyack, K. W. & Baas, J. The rapid, massive growth of COVID-19 authors in the scientific literature. R. Soc. Open Sci. 8, 210389 (2021).
Else, H. How a torrent of COVID science changed research publishing – in seven charts. Nature 588, 553 (2020).
Fry, C. V., Cai, X., Zhang, Y. & Wagner, C. S. Consolidation in a crisis: patterns of international collaboration in early COVID-19 research. PLoS ONE 15, e0236307 (2020).
Yin, Y., Gao, J., Jones, B. F. & Wang, D. Coevolution of policy and science during the pandemic. Science 371, 128–130 (2021).
Kousha, K. & Thelwall, M. COVID-19 publications: database coverage, citations, readers, tweets, news, Facebook walls, Reddit posts. Quant. Sci. Stud. 1, 1068–1091 (2020).
Wang, D., Song, C. & Barabási, A.-L. Quantifying long-term scientific impact. Science 342, 127–132 (2013).
Wu, L., Wang, D. & Evans, J. A. Large teams develop and small teams disrupt science and technology. Nature 566, 378–382 (2019).
Jones, B. F. & Weinberg, B. A. Age dynamics in scientific creativity. Proc. Natl Acad. Sci. USA 108, 18910–18914 (2011).
Tushman, M. L. & Anderson, P. Technological discontinuities and organizational environments. Adm. Sci. Q. 31, 439–465 (1986).
Henderson, R. M. & Clark K. B., Architectural innovation: the reconfiguration of existing product technologies and the failure of established firms. Adm. Sci. Q. 35, 9–30 (1990).
Chatterji, A. & Patro, A. Dynamic capabilities and managing human capital. Acad. Manag. Perspect. 28, 395–408 (2014).
Granstrand, O. & Sjölander, S. The acquisition of technology and small firms by large firms. J. Econ. Behav. Organ. 13, 367–386 (1990).
Markowitz, H. M. Foundations of portfolio theory. J. Finance 46, 469–477 (1991).
Goolsbee, A. Does government R&D policy mainly benefit scientists and engineers? Am. Econ. Revi. 88, 298–302 (1998).
Jones, B. F. & Summers, L. H. A calculation of the social returns to innovation. Working paper 27863 (National Bureau of Economic Research, 2020).
Azoulay, P., Jones, B., Kim, J. D. & Miranda, J. Immigration and entrepreneurship in the United States. Working paper 27778 (National Bureau of Economic Research, 2020).
Berkes, E., Deschenes, O., Gaetani, R., Lin, J. & Severen, C. Lockdowns and innovation: evidence from the 1918 flu pandemic. Working paper 28152 (National Bureau of Economic Research, 2020).
Diamond, J. Collapse: How Societies Choose to Fail or Succeed (Penguin, 2011).
Hidalgo, C. A., Klinger, B., Barabási, A.-L. & Hausmann, R. The product space conditions the development of nations. Science 317, 482–487 (2007).
Starr, E. & Goldfarb, B. Binned scatterplots: a simple tool to make research easier and better. Strateg. Manag. J. 41, 2261–2274 (2020).
Correia, S. reghdfe: Stata module for linear and instrumental-variable/GMM regression absorbing multiple levels of fixed effects. Statistical Software Components s457874, Boston College Department of Economics (2017).
Marx, M. & Fuegi, A. Reliance on science in patenting. Zenodo https://doi.org/10.5281/zenodo.5803985 (2021).
Hill, R. et al. Replication materials for ‘The pivot penalty in research’. Figshare https://doi.org/10.6084/m9.figshare.28074941 (2025).