IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/16002.html
   My bibliography  Save this paper

As Science Evolves, How Can Science Policy?

Author

Listed:
  • Benjamin Jones

Abstract

Getting science policy right is a core objective of government that bears on scientific advance, economic growth, health, and longevity. Yet the process of science is changing. As science advances and knowledge accumulates, ensuing generations of innovators spend longer in training and become more narrowly expert, shifting key innovations (i) later in the life cycle and (ii) from solo researchers toward teams. This paper summarizes the evidence that science has evolved - and continues to evolve - on both dimensions. The paper then considers science policy. The ongoing shift away from younger scholars and toward teamwork raises serious policy challenges. Central issues involve (a) maintaining incentives for entry into scientific careers as the training phase extends, (b) ensuring effective evaluation of ideas (including decisions on patent rights and research grants) as evaluator expertise narrows, and (c) providing appropriate effort incentives as scientists increasingly work in teams. Institutions such as government grant agencies, the patent office, the science education system, and the Nobel Prize come under a unified focus in this paper. In all cases, the question is how these institutions can change. As science evolves, science policy may become increasingly misaligned with science itself - unless science policy evolves in tandem.

Suggested Citation

  • Benjamin Jones, 2010. "As Science Evolves, How Can Science Policy?," NBER Working Papers 16002, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:16002
    Note: ED EFG PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w16002.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Benjamin F. Jones, 2009. "The Burden of Knowledge and the "Death of the Renaissance Man": Is Innovation Getting Harder?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 283-317.
    2. Bruce A. Weinberg & David W. Galenson, 2019. "Creative Careers: The Life Cycles of Nobel Laureates in Economics," De Economist, Springer, vol. 167(3), pages 221-239, September.
    3. Benjamin F. Jones, 2010. "Age and Great Invention," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 1-14, February.
    4. Scott Stern, 2004. "Do Scientists Pay to Be Scientists?," Management Science, INFORMS, vol. 50(6), pages 835-853, June.
    5. Psacharopoulos, George, 1994. "Returns to investment in education: A global update," World Development, Elsevier, vol. 22(9), pages 1325-1343, September.
    6. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66(4), pages 281-281.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liang, Zhentao & Ba, Zhichao & Mao, Jin & Li, Gang, 2023. "Research complexity increases with scientists’ academic age: Evidence from library and information science," Journal of Informetrics, Elsevier, vol. 17(1).
    2. Frank Nagle & Florenta Teodoridis, 2020. "Jack of all trades and master of knowledge: The role of diversification in new distant knowledge integration," Strategic Management Journal, Wiley Blackwell, vol. 41(1), pages 55-85, January.
    3. Benjamin Jones & E.J. Reedy & Bruce A. Weinberg, 2014. "Age and Scientific Genius," NBER Working Papers 19866, National Bureau of Economic Research, Inc.
    4. Margaret K. Kyle, 2019. "The Alignment of Innovation Policy and Social Welfare: Evidence from Pharmaceuticals," NBER Chapters, in: Innovation Policy and the Economy, Volume 20, pages 95-123, National Bureau of Economic Research, Inc.
    5. Marta Magdalena Roszkiewicz, 2014. "On The Influence Of Science Funding Policies On Business Sector R&D Activity," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 9(3), pages 9-27, September.
    6. Pierre Dubois & Jean-Charles Rochet & Jean-Marc Schlenker, 2014. "Productivity and mobility in academic research: evidence from mathematicians," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1669-1701, March.
    7. Matthias Krapf, 2015. "Age and complementarity in scientific collaboration," Empirical Economics, Springer, vol. 49(2), pages 751-781, September.
    8. Jensen, Scott & Liu, Xiaozhong & Yu, Yingying & Milojevic, Staša, 2016. "Generation of topic evolution trees from heterogeneous bibliographic networks," Journal of Informetrics, Elsevier, vol. 10(2), pages 606-621.
    9. Fons-Rosen, Christian & Gaule, Patrick & Hrendash, Taras, 2023. "Why Has Science Become an Old Man's Game?," IZA Discussion Papers 16365, Institute of Labor Economics (IZA).
    10. Andrey GNIDCHENKO, 2011. "Defragmentation Of Economic Growth With A Focus On Diversification: Evidence From Russian Economy," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 2(1), pages 44-80.
    11. Alexander Ugarov, 2023. "Peer Prediction for Peer Review: Designing a Marketplace for Ideas," Papers 2303.16855, arXiv.org.
    12. Boh, Wai Fong & Evaristo, Roberto & Ouderkirk, Andrew, 2014. "Balancing breadth and depth of expertise for innovation: A 3M story," Research Policy, Elsevier, vol. 43(2), pages 349-366.
    13. Ba, Zhichao & Liang, Zhentao, 2021. "A novel approach to measuring science-technology linkage: From the perspective of knowledge network coupling," Journal of Informetrics, Elsevier, vol. 15(3).
    14. Kyle, Margaret K., 2022. "Incentives for pharmaceutical innovation: What’s working, what’s lacking," International Journal of Industrial Organization, Elsevier, vol. 84(C).
    15. Leonardo Costa Ribeiro & Márcia Siqueira Rapini & Leandro Alves Silva & Eduardo Motta Albuquerque, 2018. "Growth patterns of the network of international collaboration in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 159-179, January.
    16. Ajay Agrawal & Avi Goldfarb & Florenta Teodoridis, 2013. "Does Knowledge Accumulation Increase the Returns to Collaboration?," NBER Working Papers 19694, National Bureau of Economic Research, Inc.
    17. Amit Jain & Will Mitchell, 2022. "Specialization as a double‐edged sword: The relationship of scientist specialization with R&D productivity and impact following collaborator change," Strategic Management Journal, Wiley Blackwell, vol. 43(5), pages 986-1024, May.
    18. Yin, Yian & Wang, Dashun, 2017. "The time dimension of science: Connecting the past to the future," Journal of Informetrics, Elsevier, vol. 11(2), pages 608-621.
    19. Jeffrey L. Furman & Florenta Teodoridis, 2020. "Automation, Research Technology, and Researchers’ Trajectories: Evidence from Computer Science and Electrical Engineering," Organization Science, INFORMS, vol. 31(2), pages 330-354, March.
    20. Ginger Zhe Jin & Benjamin Jones & Susan Feng Lu & Brian Uzzi, 2013. "The Reverse Matthew Effect: Catastrophe and Consequence in Scientific Teams," NBER Working Papers 19489, National Bureau of Economic Research, Inc.
    21. Florenta Teodoridis, 2018. "Understanding Team Knowledge Production: The Interrelated Roles of Technology and Expertise," Management Science, INFORMS, vol. 64(8), pages 3625-3648, August.
    22. Annamaria Conti & Christopher C. Liu, 2014. "The (Changing) Knowledge Production Function: Evidence from the MIT Department of Biology for 1970–2000," NBER Chapters, in: The Changing Frontier: Rethinking Science and Innovation Policy, pages 49-74, National Bureau of Economic Research, Inc.
    23. Annamaria Conti & Christopher C. Liu, 2014. "The (Changing) Knowledge Production Function: Evidence from the MIT Department of Biology for 1970-2000," NBER Working Papers 20037, National Bureau of Economic Research, Inc.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Benjamin Jones & E.J. Reedy & Bruce A. Weinberg, 2014. "Age and Scientific Genius," NBER Working Papers 19866, National Bureau of Economic Research, Inc.
    2. Benjamin F. Jones, 2014. "The Human Capital Stock: A Generalized Approach," American Economic Review, American Economic Association, vol. 104(11), pages 3752-3777, November.
    3. Daron Acemoglu & Ufuk Akcigit & Murat Alp Celik, 2014. "Young, Restless and Creative: Openness to Disruption and Creative Innovations," PIER Working Paper Archive 14-004, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    4. Kyle R. Myers & Wei Yang Tham & Jerry Thursby & Marie Thursby & Nina Cohodes & Karim Lakhani & Rachel Mural & Yilun Xu, 2023. "New Facts and Data about Professors and their Research," Papers 2312.01442, arXiv.org.
    5. Hussinger, Katrin & Pellens, Maikel, 2019. "Guilt by association: How scientific misconduct harms prior collaborators," Research Policy, Elsevier, vol. 48(2), pages 516-530.
    6. David Grosse Kathoefer & Jens Leker, 2012. "Knowledge transfer in academia: an exploratory study on the Not-Invented-Here Syndrome," The Journal of Technology Transfer, Springer, vol. 37(5), pages 658-675, October.
    7. Joshua Aizenman & Ilan Noy, 2007. "Prizes for basic research: Human capital, economic might and the shadow of history," Journal of Economic Growth, Springer, vol. 12(3), pages 261-282, September.
    8. Oscar Hernán Cerquera Losada & María de los Ángeles Clavijo Tovar & Carla Yanella Pérez Peña, 2022. "Capital humano y crecimiento económico: evidencia empírica para Suramérica," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 41(73), pages 143-167, February.
    9. Chung-Souk Han, 2011. "On the demographical changes of U.S. research doctorate awardees and corresponding trends in research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 845-865, December.
    10. Tan, Clifford, 2013. "The contribution of university rankings to country's GDP per capita," MPRA Paper 53900, University Library of Munich, Germany.
    11. KRAPF, Matthias & SCHLÄPFER, Jörg, 2012. "How Nobel Laureates Would Perform In The Handelsblatt Ranking," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(3).
    12. Ajay Bhaskarabhatla & Luis Cabral & Deepak Hegde & Thomas Peeters, 2021. "Are Inventors or Firms the Engines of Innovation?," Management Science, INFORMS, vol. 67(6), pages 3899-3920, June.
    13. Benjamin F. Jones, 2008. "The Knowledge Trap: Human Capital and Development Reconsidered," NBER Working Papers 14138, National Bureau of Economic Research, Inc.
    14. Haeussler, Carolin & Sauermann, Henry, 2013. "Credit where credit is due? The impact of project contributions and social factors on authorship and inventorship," Research Policy, Elsevier, vol. 42(3), pages 688-703.
    15. Brendan M. Walsh, 1998. "Symposium on the economic returns to education," Open Access publications 10197/1530, School of Economics, University College Dublin.
    16. Akcigit, Ufuk & Grigsby, John & Nicholas, Tom, 2017. "The Rise of American Ingenuity: Innovation and Inventors of the Golden Age," CEPR Discussion Papers 11755, C.E.P.R. Discussion Papers.
    17. John Beirne & Nauro F. Campos, 2007. "Educational inputs and outcomes before the transition from communism," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 15(1), pages 57-76, January.
    18. Imed Limam & Abdelwahab Ben Hafaiedh, 2017. "Education, Earnings and Returns to Schooling in Tunisia," Working Papers 1162, Economic Research Forum, revised 12 Jun 2017.
    19. Jesus Crespo Cuaresma & Anna Raggl, 2016. "The dynamics of returns to education in Uganda: National and subnational trends," Development Policy Review, Overseas Development Institute, vol. 34(3), pages 385-422, May.
    20. Daniel S. Hamermesh, 2013. "Six Decades of Top Economics Publishing: Who and How?," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 162-172, March.

    More about this item

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:16002. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.