IDEAS home Printed from https://ideas.repec.org/a/spr/envsyd/v43y2023i1d10.1007_s10669-022-09870-2.html
   My bibliography  Save this article

(Re)Conceptualizing decision-making tools in a risk governance framework for emerging technologies—the case of nanomaterials

Author

Listed:
  • Martin Mullins

    (Transgero Limited
    University of Limerick)

  • Martin Himly

    (Paris Lodron University of Salzburg (PLUS))

  • Isabel Rodríguez Llopis

    (GAIKER Technology Centre, Basque Research and Technology Alliance, (BRTA) ES)

  • Irini Furxhi

    (Transgero Limited
    University of Limerick)

  • Sabine Hofer

    (Paris Lodron University of Salzburg (PLUS))

  • Norbert Hofstätter

    (Paris Lodron University of Salzburg (PLUS))

  • Peter Wick

    (Particles-Biology Interactions Laboratory, Empa, Swiss Federal Laboratories for Materials Science and Technology)

  • Daina Romeo

    (Particles-Biology Interactions Laboratory, Empa, Swiss Federal Laboratories for Materials Science and Technology)

  • Dana Küehnel

    (Helmholtz Centre for Environmental Research - UFZ)

  • Kirsi Siivola

    (Finnish Institute of Occupational Health)

  • Julia Catalán

    (Finnish Institute of Occupational Health
    University of Zaragoza)

  • Kerstin Hund-Rinke

    (Fraunhofer Institute for Molecular Biology and Applied Ecology IME)

  • Ioannis Xiarchos

    (National Technical University of Athens)

  • Shona Linehan

    (National University of Ireland Galway)

  • Daan Schuurbiers
  • Amaia García Bilbao

    (GAIKER Technology Centre, Basque Research and Technology Alliance, (BRTA) ES)

  • Leire Barruetabeña

    (GAIKER Technology Centre, Basque Research and Technology Alliance, (BRTA) ES)

  • Damjana Drobne

    (University of Ljubljana)

Abstract

The utility of decision-making tools for the risk governance of nanotechnology is at the core of this paper. Those working in nanotechnology risk management have been prolific in creating such tools, many derived from European FP7 and H2020-funded projects. What is less clear is how such tools might assist the overarching ambition of creating a fair system of risk governance. In this paper, we reflect upon the role that tools might and should play in any system of risk governance. With many tools designed for the risk governance of this emerging technology falling into disuse, this paper provides an overview of extant tools and addresses their potential shortcomings. We also posit the need for a data readiness tool. With the EUs NMP13 family of research consortia about to report to the Commission on ways forward in terms of risk governance of this domain, this is a timely intervention on an important element of any risk governance system.

Suggested Citation

  • Martin Mullins & Martin Himly & Isabel Rodríguez Llopis & Irini Furxhi & Sabine Hofer & Norbert Hofstätter & Peter Wick & Daina Romeo & Dana Küehnel & Kirsi Siivola & Julia Catalán & Kerstin Hund-Rink, 2023. "(Re)Conceptualizing decision-making tools in a risk governance framework for emerging technologies—the case of nanomaterials," Environment Systems and Decisions, Springer, vol. 43(1), pages 3-15, March.
    • Handle: RePEc:spr:envsyd:v:43:y:2023:i:1:d:10.1007_s10669-022-09870-2
    DOI: 10.1007/s10669-022-09870-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10669-022-09870-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10669-022-09870-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Manuel Castells, 2008. "The New Public Sphere: Global Civil Society, Communication Networks, and Global Governance," The ANNALS of the American Academy of Political and Social Science, , vol. 616(1), pages 78-93, March.
    2. W. Brian Arthur, 1994. "Inductive Reasoning, Bounded Rationality and the Bar Problem," Working Papers 94-03-014, Santa Fe Institute.
    3. Bruna De Marchi, 2003. "Public participation and risk governance," Science and Public Policy, Oxford University Press, vol. 30(3), pages 171-176, June.
    4. Arthur, W Brian, 1994. "Inductive Reasoning and Bounded Rationality," American Economic Review, American Economic Association, vol. 84(2), pages 406-411, May.
    5. James G. March, 1978. "Bounded Rationality, Ambiguity, and the Engineering of Choice," Bell Journal of Economics, The RAND Corporation, vol. 9(2), pages 587-608, Autumn.
    6. Nina Granqvist & Tiina Ritvala, 2016. "Beyond Prototypes: Drivers of Market Categorization in Functional Foods and Nanotechnology," Journal of Management Studies, Wiley Blackwell, vol. 53(2), pages 210-237, March.
    7. David Dequech, 2001. "Bounded Rationality, Institutions, and Uncertainty," Journal of Economic Issues, Taylor & Francis Journals, vol. 35(4), pages 911-929, December.
    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. Merve Tunali & Hyunjoo Hong & Luis Mauricio Ortiz-Galvez & Jimeng Wu & Yiwen Zhang & David Mennekes & Barbora Pinlova & Danyang Jiang & Claudia Som & Bernd Nowack, 2023. "Conversational AI Tools for Environmental Topics: A Comparative Analysis of Different Tools and Languages for Microplastics, Tire Wear Particles, Engineered Nanoparticles and Advanced Materials," Sustainability, MDPI, vol. 15(19), pages 1-16, October.

    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. Yun, JinHyo Joseph & Ahn, Heung Ju & Lee, Doo Seok & Park, Kyung Bae & Zhao, Xiaofei, 2022. "Inter-rationality; Modeling of bounded rationality in open innovation dynamics," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    2. Maria Minniti & William Bygrave, 2001. "A Dynamic Model of Entrepreneurial Learning," Entrepreneurship Theory and Practice, , vol. 25(3), pages 5-16, April.
    3. Bell, Peter N, 2013. "New Testing Procedures to Assess Market Efficiency with Trading Rules," MPRA Paper 46701, University Library of Munich, Germany.
    4. Luis Alfonso Dau & Aya S. Chacar & Marjorie A. Lyles & Jiatao Li, 2022. "Informal institutions and international business: Toward an integrative research agenda," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(6), pages 985-1010, August.
    5. Giuseppe Pernagallo & Benedetto Torrisi, 2020. "A theory of information overload applied to perfectly efficient financial markets," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 14(2), pages 223-236, October.
    6. Sergeeva, Anastasia & Bhardwaj, Akhil & Dimov, Dimo, 2021. "In the heat of the game: Analogical abduction in a pragmatist account of entrepreneurial reasoning," Journal of Business Venturing, Elsevier, vol. 36(6).
    7. Ciarli, Tommaso & Ràfols, Ismael, 2019. "The relation between research priorities and societal demands: The case of rice," Research Policy, Elsevier, vol. 48(4), pages 949-967.
    8. Wawrzyniak, Karol & Wiślicki, Wojciech, 2012. "Mesoscopic approach to minority games in herd regime," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(5), pages 2056-2082.
    9. Scott C. Linn & Nicholas S. P. Tay, 2007. "Complexity and the Character of Stock Returns: Empirical Evidence and a Model of Asset Prices Based on Complex Investor Learning," Management Science, INFORMS, vol. 53(7), pages 1165-1180, July.
    10. Alan Kirman & François Laisney & Paul Pezanis-Christou, 2023. "Relaxing the symmetry assumption in participation games: a specification test for cluster-heterogeneity," Experimental Economics, Springer;Economic Science Association, vol. 26(4), pages 850-878, September.
    11. Andrew W. Bausch, 2014. "Evolving intergroup cooperation," Computational and Mathematical Organization Theory, Springer, vol. 20(4), pages 369-393, December.
    12. Agnieszka Wiszniewska-Matyszkiel, 2016. "Belief distorted Nash equilibria: introduction of a new kind of equilibrium in dynamic games with distorted information," Annals of Operations Research, Springer, vol. 243(1), pages 147-177, August.
    13. Challet, Damien & Zhang, Yi-Cheng, 1998. "On the minority game: Analytical and numerical studies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 256(3), pages 514-532.
    14. Gu, Gao-Feng & Chen, Wei & Zhou, Wei-Xing, 2008. "Empirical regularities of order placement in the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(13), pages 3173-3182.
    15. Gian Italo Bischi & Ugo Merlone, 2017. "Evolutionary minority games with memory," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 859-875, November.
    16. Salle, Isabelle & Yildizoglu, Murat & Zumpe, Martin & Sénégas, Marc-Alexandre, 2017. "Coordination through social learning in a general equilibrium model," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 64-82.
    17. Tanimoto, Jun & Nakamura, Kousuke, 2016. "Social dilemma structure hidden behind traffic flow with route selection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 459(C), pages 92-99.
    18. Benjamin Patrick Evans & Mikhail Prokopenko, 2021. "Bounded rationality for relaxing best response and mutual consistency: The Quantal Hierarchy model of decision-making," Papers 2106.15844, arXiv.org, revised Mar 2023.
    19. Linde, Jona & Sonnemans, Joep & Tuinstra, Jan, 2014. "Strategies and evolution in the minority game: A multi-round strategy experiment," Games and Economic Behavior, Elsevier, vol. 86(C), pages 77-95.
    20. Mello, Bernardo A. & Cajueiro, Daniel O., 2008. "Minority games, diversity, cooperativity and the concept of intelligence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 557-566.

    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:spr:envsyd:v:43:y:2023:i:1:d:10.1007_s10669-022-09870-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.