IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/15340.html
   My bibliography  Save this book chapter

Funding Breakthrough Research: An Update and Research Agenda

In: Economics of Science

Author

Listed:
  • Chiara Franzoni
  • Reinhilde Veugelers

Abstract

No abstract is available for this item.

Suggested Citation

  • Chiara Franzoni & Reinhilde Veugelers, 2025. "Funding Breakthrough Research: An Update and Research Agenda," NBER Chapters, in: Economics of Science, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:15340
    as

    Download full text from publisher

    File URL: http://www.nber.org/chapters/c15340.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ewens, Michael & Nanda, Ramana & Rhodes-Kropf, Matthew, 2018. "Cost of experimentation and the evolution of venture capital," Journal of Financial Economics, Elsevier, vol. 128(3), pages 422-442.
    2. Nicholas Bloom & Charles I. Jones & John Van Reenen & Michael Webb, 2020. "Are Ideas Getting Harder to Find?," American Economic Review, American Economic Association, vol. 110(4), pages 1104-1144, April.
    3. Bryan Kelly & Dimitris Papanikolaou & Amit Seru & Matt Taddy, 2021. "Measuring Technological Innovation over the Long Run," American Economic Review: Insights, American Economic Association, vol. 3(3), pages 303-320, September.
    4. 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.
    5. Mikko Packalen & Jay Bhattacharya, 2020. "NIH funding and the pursuit of edge science," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(22), pages 12011-12016, June.
    6. Michael Park & Erin Leahey & Russell J. Funk, 2023. "Papers and patents are becoming less disruptive over time," Nature, Nature, vol. 613(7942), pages 138-144, January.
    7. Feng Shi & James Evans, 2023. "Surprising combinations of research contents and contexts are related to impact and emerge with scientific outsiders from distant disciplines," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    8. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    9. 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.
    Full references (including those not matched with items on IDEAS)

    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. Yang, Alex J., 2024. "Unveiling the impact and dual innovation of funded research," Journal of Informetrics, Elsevier, vol. 18(1).
    2. Sam Arts & Nicola Melluso & Reinhilde Veugelers, 2023. "Beyond Citations: Measuring Novel Scientific Ideas and their Impact in Publication Text," Papers 2309.16437, arXiv.org, revised Dec 2024.
    3. Li, Meiling & Wang, Yang & Du, Haifeng & Bai, Aruhan, 2024. "Motivating innovation: The impact of prestigious talent funding on junior scientists," Research Policy, Elsevier, vol. 53(9).
    4. Wang, Jieshu & Lobo, José, 2024. "Extensive growth of inventions: Evidence from U.S. patenting," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    5. Fronzetti Colladon, Andrea & Guardabascio, Barbara & Venturini, Francesco, 2025. "A new mapping of technological interdependence," Research Policy, Elsevier, vol. 54(1).
    6. Besancenot, Damien & Vranceanu, Radu, 2024. "Reluctance to pursue breakthrough research: A signaling explanation," Research Policy, Elsevier, vol. 53(4).
    7. Ningzi Li & Shiyang Lai & James Evans, 2025. "Big Data and the Computational Social Science of Entrepreneurship and Innovation," Papers 2505.08706, arXiv.org.
    8. Yang, Alex J., 2025. "Text vs. citations: A comparative analysis of breakthrough and disruption metrics in patent innovation," Research Policy, Elsevier, vol. 54(8).
    9. Giulio Giacomo Cantone, 2024. "How to measure interdisciplinary research? A systemic design for the model of measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4937-4982, August.
    10. Yi Zhao & Chengzhi Zhang, 2025. "A review on the novelty measurements of academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 727-753, February.
    11. Maya M. Durvasula & Sabri Eyuboglu & David M. Ritzwoller, 2024. "Counting Clinical Trials: New Evidence on Pharmaceutical Sector Productivity," Papers 2405.08030, arXiv.org, revised Jan 2025.
    12. Lu Liu & Benjamin F. Jones & Brian Uzzi & Dashun Wang, 2023. "Data, measurement and empirical methods in the science of science," Nature Human Behaviour, Nature, vol. 7(7), pages 1046-1058, July.
    13. Naudé, Wim, 2023. "We Already Live in a Degrowth World, and We Do Not like It," IZA Discussion Papers 16191, Institute of Labor Economics (IZA).
    14. Lutz Bornmann & Russell J. Funk, 2025. "Popper’s probability calculus and the decline of scientific disruptiveness," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(8), pages 4801-4807, August.
    15. Josh Lerner & Ramana Nanda, 2020. "Venture Capital's Role in Financing Innovation: What We Know and How Much We Still Need to Learn," Journal of Economic Perspectives, American Economic Association, vol. 34(3), pages 237-261, Summer.
    16. Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022. "Artificial intelligence in science: An emerging general method of invention," Post-Print hal-03958025, HAL.
    17. Gaétan de Rassenfosse & Adam B. Jaffe & Joel Waldfogel, 2025. "Intellectual Property and Creative Machines," Entrepreneurship and Innovation Policy and the Economy, University of Chicago Press, vol. 4(1), pages 47-79.
    18. Tao Yi & Chaoying Tang, 2025. "Research exploration, collaborative partnerships, and scientific breakthrough: evidence from China’s State Key Laboratories," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(8), pages 4423-4464, August.
    19. Anastasios Evgenidis & Apostolos Fasianos, 2025. "AI news shocks and the macroeconomy: evidence from UK patent data," IFS Working Papers W25/48, Institute for Fiscal Studies.
    20. Wu, Lingfei & Kittur, Aniket & Youn, Hyejin & Milojević, Staša & Leahey, Erin & Fiore, Stephen M. & Ahn, Yong-Yeol, 2022. "Metrics and mechanisms: Measuring the unmeasurable in the science of science," Journal of Informetrics, Elsevier, vol. 16(2).

    More about this item

    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:nberch:15340. 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.