Abstract
Mental modelling analysis can be a valuable tool in understanding and bridging cognitive values in multi-stakeholders’ communities. It is especially true in situation of emerging risks where significant uncertainty and competing objectives could result in significant difference in stakeholder perspective on the use of new materials and technologies. This paper presents a mental modelling study performed among prospective users of an innovative decision support system for safe and sustainable development of nano-enabled products. These users included representatives of industry and regulators, as well as several insurance specialists and researchers. We present methodology and tools for comparing stakeholder views and objectives in the context of developing a decision support system.
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Notes
The third prescribed metric, specificity cannot be assessed, as we only asked respondents to rank the different modules, and did not ask them more in depth questions about their understanding of each criterion.
References
Hollan J, Hutchins E, Kirsh D (2000) Distributed cognition: toward a new foundation for human-computer interaction research. ACM Trans Comput Hum Interact 7(2):174–196
Hutchins E (1995) How a cockpit remembers its speed. Cogn Sci 19:265–288
Malsch I, Subramanian V, Semenzin E, Hristozov D, Marcomini A, Mullins M, Hester K, McAlea E, Murphy F, Tofail SAM (2015a) Empowering citizens in international governance of nanotechnologies. J Nanopart Res 17:215. doi:10.1007/s11051-015-3019-0
Malsch I, Subramanian V, Semenzin E, Hristozov D, Marcomini A (2015b) Supporting decision making for sustainable nanotechnology. Environ Syst Decis 35(1):54–75. doi:10.1007/s10669-015-9539-4
Malsch I, Subramanian V, Semenzin E, Hristozov D, Marcomini A (2015c) Collective decision making on risk management and sustainable manufacturing of nanomaterials and the role of decision support tools. In: Proceedings of the 5th STS Italia conference: a matter of design: making society through science and technology, pp 1115–1130
Morgan MG, Fischhoff B, Bostrom A, Atman CJ (2002) Risk communication: a mental models approach. Cambridge University Press, Boston
Nersessian NJ, Newstetter WC, Kurz-Milcke E, Davies JA (2003) Mixed-method approach to studying distributed cognition in evolving environments. In: Paper presented at the proceedings of the international conference on learning sciences, pp 307–314
Subramanian V, Semenzin E, Hristozov D, Zabeo A, Malsch I, McAlea E, Murphy F, Mullins M, van Harmelen T, Ligthart T, Linkov I, Marcomini A (2016) Sustainable nanotechnology decision support system: bridging risk management, sustainable innovation and risk governance. J Nanopart Res 18:89. doi:10.1007/s11051-016-3375-4
van Harmelen T, Zondervan-van den Beuken EK, Brouwer DH, Kuijpers E, Fransman W, Buist HB, Ligthart TN, Hincapié I, Hischier R, Linkov I, Nowack B, Studer J, Hilty L, Som C (2016) LICARA nanoSCAN—a tool for the self-assessment of benefits and risks of nanoproducts. Environ Int 91:150–160. doi:10.1016/j.envint.2016.02.021 (Epub 2016 Mar 5)
Wood MD, Bostrom A, Bridges T, Linkov I (2012) Cognitive mapping tools: review and risk management needs. Risk Anal 32(8):1333–1348
Wood MD, Thorne S, Kovacs D, Butte G, Linkov I (2017) Mental modelling approach risk management application case studies. Risk systems and decisions. Springer, New York
Acknowledgements
We gratefully acknowledge the contributions of the participants during the stakeholder engagement activities reported here, and the constructive comments of two anonymous reviewers. The research leading to these results has received funding from the European Union Seventh Framework Programme [FP7/2007–2013] under EC-GA No. 604305 ‘SUN’. This publication reflects the views only of the authors, and the European Commission cannot be held responsible for any use, which may be made of the information contained therein.
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We have not performed any experiments on humans and/or animals for which prior approval of an ethics board or similar body is required.
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Informed consent was obtained from all individual participants included in the study. All respondents have been offered the option to respond anonymously. All published results are presented in anonymised form.
Annex 1: The questionnaire
Annex 1: The questionnaire
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Malsch, I., Subramanian, V., Semenzin, E. et al. Comparing mental models of prospective users of the sustainable nanotechnology decision support system. Environ Syst Decis 37, 465–483 (2017). https://doi.org/10.1007/s10669-017-9648-3
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DOI: https://doi.org/10.1007/s10669-017-9648-3