Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published online February 18, 2024

Imagining the model citizen: A comparison between public understanding of science, public engagement in science, and citizen science

Abstract

This article examines the visions of citizens’ ideal practices regarding technoscientific affairs in a democratic society, namely “imaginaries of model citizens,” that underlie three science and public initiatives: public understanding of science, public engagement in science, and citizen science. While imaginaries of citizens are performative and necessary to these initiatives, they are often relegated to the background. I argue that such imaginaries are the result of a complex of perceptions on the nature of science, the role of democracy in scientific activities, and the form of “democratizing” science. The imaginary of model citizens in public understanding of science is of literate citizens who should know science sufficiently, use it in daily life, and support science; in public engagement in science, the model citizen is a responsible one who should engage in the governance of technoscientific issues; and in citizen science, a contributive one who should partake in and enjoy creating scientific knowledge.

Get full access to this article

View all access and purchase options for this article.

References

Anderson B (1991) Imagined Communities: Reflections on the Origin and Spread of Nationalism. New York, NY: Verso Books.
Appadurai A (1996) Modernity at Large: Cultural Dimensions of Globalization. Minneapolis, MN: University of Minnesota Press.
Árnason V (2013) Scientific citizenship in a democratic society. Public Understanding of Science 22(8): 927–940.
Barnett J, Burningham K, Walker G, Cass N (2012) Imagined publics and engagement around renewable energy technologies in the UK. Public Understanding of Science 21(1): 36–50.
Bauer MW (2014) A word from the editor on the special issue on “public engagement.” Public Understanding of Science 23(1): 3.
Bauer MW, Allum N, Miller S (2007) What can we learn from 25 years of PUS survey research? Liberating and expanding the agenda. Public Understanding of Science 16(1): 79–95.
Bonney R (1996) Citizen science: A lab tradition. Living Bird 15(4): 7–15.
Bonney R, Cooper C, Ballard H (2016a) The theory and practice of citizen science: Launching a new journal. Citizen Science: Theory and Practice 1(1): 1–4.
Bonney R, Cooper CB, Dickinson J, Kelling S (2009) Citizen science: A developing tool for expanding science knowledge and scientific literacy. BioScience 59(11): 977–984.
Bonney R, Phillips TB, Ballard HL, Enck JW (2016b) Can citizen science enhance public understanding of science? Public Understanding of Science 25(1): 2–16.
Braun K, Schultz S (2010) “. . . a certain amount of engineering involved”: Constructing the public in participatory governance arrangements. Public Understanding of Science 19(4): 403–419.
Burgess MM (2014) From “trust us” to participatory governance: Deliberative publics and science policy. Public Understanding of Science 23(1): 48–52.
Calderini M, Simone A (2021) Give citizens a seat at the table. Nature Italy. Available at: https://www.nature.com/articles/d43978-021-00038-1
Chilvers J, Kearnes M (eds) (2016) Remaking Participation: Science, Environment and Emergent Publics. London: Routledge.
Christiano T (2018) Democracy. In:Zalta EN (ed.) The Stanford Encyclopedia of Philosophy, Fall 2018 edn. Stanford, CA: Metaphysics Research Lab, Stanford University. Available at: https://plato.stanford.edu/archives/fall2018/entries/democracy/ (accessed 19 March 2021).
Coates RL (2022) 1992: The first issue of public understanding of science. Public Understanding of Science 31(3): 340–345.
Coy P (2023) an A.I. and democracy fix each other? The New York Times, 5 April. Available at: https://www.nytimes.com/2023/04/05/opinion/artificial-intelligence-democracy-chatgpt.html (accessed 4 July 2023).
Del Savio L, Prainsack B, Buyx A (2016) Crowdsourcing the Human Gut. Is crowdsourcing also “citizen science”? Journal of Science Communication 15(3): A03.
Delgado A, Lein Kjølberg K, Wickson F (2011) Public engagement coming of age: From theory to practice in STS encounters with nanotechnology. Public Understanding of Science 20(6): 826–845.
Dickinson JL, Zuckerberg B, Bonter DN (2010) Citizen science as an ecological research tool: Challenges and benefits. Annual Review of Ecology, Evolution, and Systematics 41(1): 149–172.
Durant J, Evans G, Thomas G (1989) The public understanding of science. Nature 340(6228): 11–14.
Durant J, Evans G, Thomas G (1992) Public understanding of science in Britain: The role of medicine in the popular representation of science. Public Understanding of Science 1(2): 161–182.
Eitzel MV, Cappadonna JL, Santos-Lang C, Duerr RE, Virapongse A, West SE, et al. (2017) Citizen science terminology matters: Exploring key terms. Citizen Science: Theory and Practice 2(1): 11–20.
Gallie WB (1955) Essentially contested concepts. Proceedings of the Aristotelian Society 56: 167–198.
Goven J (2003) Deploying the consensus conference in New Zealand: Democracy and de-problematization. Public Understanding of Science 12(4): 423–440.
Guay R, Birch K (2022) A comparative analysis of data governance: Socio-technical imaginaries of digital personal data in the USA and EU (2008–2016). Big Data & Society 9(2): 1–13.
Haklay M (2013a) Citizen science and volunteered geographic information: Overview and typology of participation. In:Sui D, Elwood S, Goodchild M (eds) Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. Dordrecht: Springer, pp. 105–122.
Haklay M (2013b) Neogeography and the delusion of democratisation. Environment and Planning A: Economy and Space 45(1): 55–69.
Hasbe S, Lippert R (2020) Democratization of machine learning and artificial intelligence with Google Cloud. In: Google Cloud Blog. Available at: https://cloud.google.com/blog/products/data-analytics/democratization-of-ml-and-ai-with-google-cloud (accessed 4 July 2023).
Hess DJ (2015) Publics as threats? Integrating science and technology studies and social movement studies. Science as Culture 24(1): 69–82.
Hilgartner S, Prainsack B, Hurlbut JB (2017) Ethics as governance in genomics and beyond. In:Felt U, Fouche R, Miller CA, et al. (eds) Handbook of Science and Technology Studies. Cambridge, MA: MIT Press, pp. 823–851.
Horst M (2007) Public expectations of gene therapy: Scientific futures and their performative effects on scientific citizenship. Science, Technology, & Human Values 32(2): 150–171.
Horst M (2008) In search of dialogue: Staging science communication in consensus conferences. In:Cheng D, Claessens M, Gascoigne T, et al. (eds) Communicating Science in Social Contexts: New Models, New Practices. Dordrecht: Springer, pp. 259–274.
Irwin A (1995) Citizen Science: A Study of People, Expertise and Sustainable Development. New York, NY: Routledge.
Irwin A (2001) Constructing the scientific citizen: Science and democracy in the biosciences. Public Understanding of Science 10(1): 1–18.
Irwin A (2006) The politics of talk: Coming to terms with the “new” scientific governance. Social Studies of Science 36(2): 299–320.
Irwin A (2014) From deficit to democracy (re-visited). Public Understanding of Science 23(1): 71–76.
Irwin A (2015) Citizen science and scientific citizenship: Same words different meanings? In:Schiele B, Marec JL, Baranger B (eds) Science Communication Today: Current Strategies and Means of Action-2015. Nancy: Presses Universitaires de Nancy, pp. 29–38.
Jasanoff S (2011) Designs on Nature: Science and Democracy in Europe and the United States. Princeton, NJ: Princeton University Press.
Jasanoff S (2015) Future imperfect: Science, technology, and the imaginations of modernity. In:Jasanoff S, Kim S-H (eds) Dreamscapes of Modernity: Sociotechnical Imaginaries and the Fabrication of Power. Chicago, IL: University of Chicago Press, pp. 1–33.
Jasanoff S, Kim S-H (2009) Containing the atom: Sociotechnical imaginaries and nuclear power in the United States and South Korea. Minerva 47(2): 119–146.
Joly P-B (2015) Governing emerging technologies? The need to think outside the (black) box. In:Hilgartner S, Miller C, Hagendijk R (eds) Science and Democracy: Making Knowledge and Making Power in the Biosciences and Beyond. New York, NY: Routledge, pp. 133–155.
Kinchy A (2017) Citizen science and democracy: Participatory water monitoring in the Marcellus shale fracking boom. Science as Culture 26(1): 88–110.
Laugksch RC (2000) Scientific literacy: A conceptual overview. Science Education 84(1): 71–94.
Lewenstein B (2016) Can we understand citizen science? Journal of Science Communication 15(1): E1–E5.
Lezaun J, Soneryd L (2007) Consulting citizens: Technologies of elicitation and the mobility of publics. Public Understanding of Science 16(3): 279–297.
Marres N (2016) Material Participation: Technology, the Environment and Everyday Publics. London: Springer.
Marris C (2015) The construction of imaginaries of the public as a threat to synthetic biology. Science as Culture 24(1): 83–98.
McNeil M, Arribas-Ayllon M, Haran J, Mackenzie A, Tutton R (2016) Conceptualizing imaginaries of science, technology, and society. In:Felt U, Fouche R, Miller CA, et al. (eds) The Handbook of Science and Technology Studies, 4th edition. Cambridge, MA: MIT Press, pp. 435–463.
Merton RK (1942) A note on science and democracy. Journal of Legal and Political Sociology 1: 115–126.
Michael M (2002) Comprehension, apprehension, prehension: Heterogeneity and the public understanding of science. Science, Technology, & Human Values 27(3): 357–378.
Miller JD (1983) Scientific literacy: A conceptual and empirical review. Daedalus 112(2): 29–48.
Miller JD (1998) The measurement of civic scientific literacy. Public Understanding of Science 7(3): 203–223.
Miller S (2001) Public understanding of science at the crossroads. Public Understanding of Science 10(1): 115–120.
Nielsen AP, Lassen J, Sandøe P (2011) Public participation: Democratic ideal or pragmatic tool? The cases of GM foods and functional foods. Public Understanding of Science 20(2): 163–178.
Nowotny H (2014) Engaging with the political imaginaries of science: Near misses and future targets. Public Understanding of Science 23(1): 16–20.
Ottinger G (2017) Reconstructing or reproducing? Scientific authority and models of change in two traditions of citizen science. In:Tyfield D, Lave R, Randalls S, et al. (eds) The Routledge Handbook of the Political Economy of Science. New York, NY: Routledge, pp. 351–363.
Royal Society (1985) Public Understanding of Science. London: Royal Society.
Rudek TJ (2022) Capturing the invisible. Sociotechnical imaginaries of energy. The critical overview. Science and Public Policy 49(2): 219–245.
Sadowski J, Bendor R (2019) Selling smartness: Corporate narratives and the smart city as a sociotechnical imaginary. Science, Technology, & Human Values 44(3): 540–563.
Selin C, Rawlings KC, de Ridder-Vignone K, Sadowski J, Allende CA, Gano G, et al. (2017) Experiments in engagement: Designing public engagement with science and technology for capacity building. Public Understanding of Science 26(6): 634–649.
Simis MJ, Madden H, Cacciatore MA, Yeo SK (2016) The lure of rationality: Why does the deficit model persist in science communication? Public Understanding of Science 25(4): 400–414.
Sismondo S (2020) Sociotechnical imaginaries: An accidental themed issue. Social Studies of Science 50(4): 505–507.
Smith E (2009) Imaginaries of development: The Rockefeller foundation and rice research. Science as Culture 18(4): 461–482.
Spicer H, Nadolny D, Fraser E (2020) Going squirrelly: Evaluating educational outcomes of a curriculum-aligned citizen science investigation of non-native squirrels. Citizen Science: Theory and Practice 5(1): 141–113.
Stephens N, Atkinson P, Glasner P (2013) Institutional imaginaries of publics in stem cell banking: The cases of the UK and Spain. Science as Culture 22(4): 497–515.
Stilgoe J, Lock SJ, Wilsdon J (2014) Why should we promote public engagement with science? Public Understanding of Science 23(1): 4–15.
Sudmann A (ed.) (2019) The Democratization of Artificial Intelligence: Net Politics in the Era of Learning Algorithms. Bielefeld: Transcript Publishing.
Taylor C (2002) Modern social imaginaries. Public Culture 14(1): 91–124.
Thomas G, Durant J (1987) Why should we promote the public understanding of science? In:Shorland M (ed.) Scientific Literacy Papers. Oxford: Rewley House, pp. 1–14.
Trachtman LE (1981) The public understanding of science effort: A critique. Science, Technology, & Human Values 6(3): 10–15.
Trumbull DJ, Bonney R, Bascom D, Cabral A (2000) Thinking scientifically during participation in a citizen-science project. Science Education 84(2): 265–275.
UK House of Lords (2000) Science and Society (Report of House of Lords, Select Committee on Science and Technology, chair Patrick Jenkin; HL Paper 38). London: The Stationery Office.
US Congress (2016) Crowdsourcing and citizen science act of 2016 (15 USC 3724). Available at: https://www.congress.gov/bill/114th-congress/house-bill/6414/text (accessed 5 December 2021).
Vincent BB (2014) The politics of buzzwords at the interface of technoscience, market and society: The case of “public engagement in science.” Public Understanding of Science 23(3): 238–253.
Warf B, Sui D (2010) From GIS to neogeography: Ontological implications and theories of truth. Annals of GIS 16(4): 197–209.
Welsh I, Wynne B (2013) Science, scientism and imaginaries of publics in the UK: Passive objects, incipient threats. Science as Culture 22(4): 540–566.
Wynne B (1982) Rationality and Ritual: The Windscale Inquiry and Nuclear Decisions in Britain. London: British Society for the History of Science.
Wynne B (1991) Knowledges in context. Science, Technology, & Human Values 16(1): 111–121.
Wynne B (1992a) Misunderstood misunderstanding: Social identities and public uptake of science. Public Understanding of Science 1(3): 281–304.
Wynne B (1992b) Public understanding of science research: New horizons or hall of mirrors? Public Understanding of Science 1(1): 37–43.
Wynne B (2006) Public engagement as a means of restoring public trust in science—Hitting the notes, but missing the music? Public Health Genomics 9(3): 211–220.
Yearley S (2005) Making Sense of Science: Understanding the Social Study of Science. London: Sage.
Ziman J (1991) Public understanding of science. Science, Technology, & Human Values 16(1): 99–105.

Biographies

Wanheng Hu is a PhD candidate in Science and Technology Studies at Cornell University, where he is also doing a graduate minor in Media Studies. His research lies at the intersection of social studies of science and technology, medical sociology, critical data/algorithm studies, and public engagement with science. His dissertation project ethnographically examines the cultivation of credible machine learning systems in expert practices, with an empirical focus on image-based diagnostics within the Chinese medical artificial intelligence industry.