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Not available in 2024/25
PB429      Half Unit
Science, Innovations and the Human Future

This information is for the 2024/25 session.

Teacher responsible

Prof Martin Bauer CON.4.04

Availability

This course is available on the MSc in Behavioural Science, MSc in Organisational and Social Psychology, MSc in Psychology of Economic Life, MSc in Social and Cultural Psychology and MSc in Social and Public Communication. This course is available with permission as an outside option to students on other programmes where regulations permit.

The course is intended for MSc and PhD students in Psychological and Behavioural Science. But, conditional to availability of space, it will be open to any interested MSc or Research Student from across the school where regulations permit.

Course content

The human future begins with the debate over new technologies and the society we want to live in. Think of search engines (Chat/GBT), artificial intelligence AI, vaccination, climate change, fracking, nuclear energy, CRISPr gene editing or genetically modified crops and foods. On all these frontiers of innovation, science is a cultural authority and historically an arbiter and a voice of reason; but through the progressive commercialisation of research, increasingly also a protagonist. No surprise therefore that these technologies are controversial. The human future needs this debate now and everywhere.

In this course we will raise the question: what is the role of public debate, science communication and public attitude formation for innovations?

Through debate and controversy, modern societies develop their inter-subjective common sense and mobilise imaginaries of their future (Weart, 1988; Jasanoff et al.). For a technocratic attitude these debates are but deviations into a path of irrationality. In this context, the ‘viral’ diffusion model of innovation (Rogers, 1962) remains influential: scientists discover, engineers innovate, and social scientists provide acceptance in the marketplace. This linear model of ‘acceptance research’ is however wishful thinking (Godin et al.); valid at most for innovations with little resistance and no public debate. We recognise this reality through actor-network theory [ANT, Latour et al.] of inter-objectivity. More commonly, techno-scientific innovations encounter resistance that refocuses attention, evaluates ‘innovations’ and urges strategic adaptation (Bauer, 1991, 1995, 2002, 2015, and 2017). In this light, we will critically analyse the recurrent ‘technocratic temptations’ and the formation and impacts of resistance in socio-technological developments. Our focus will be on controversies, mobilising civic participation and the formation of public attitudes, comparing across ecology, nuclear power, IT, and genetic engineering in recent mobilisations over gene editing, AI, autonomous driving and robotic automation.

Students' are expected to appreciate theory driven empirical research.

Teaching

15 hours of lectures and 10 hours of seminars in the WT.

Formative coursework

Students will be expected to produce 1 essay in the WT.

Indicative reading

Each session will have its own particular readings, divided into essential texts and additional readings. These readings are revised on an annual basis. No one text covers the entire syllabus; students' will be expected to read widely in appropriate journals, and a list of references will be provided at the start of the course.

  • Bauer MW, P Pansegrau, and R Shukla (2019) (eds) The Cultural Authority of Science – comparing across Europe, Asia, Africa and the Americas, , London, Routledge.
  • Bauer, M.W. (2015). Atoms, Bytes & Genes: public resistance and techno-scientific responses. New York: Routledge. Bauer, M.W. (2013).
  • Bauer MW and M Bucchi (2007) (eds) Journalism, Science and Society – science communication between news and public relations, NY, Routledge.
  • Bauer, M.W. & Gaskell, G. (Eds) (2002). Biotechnology - the making of a global controversy. Cambridge, CUP.
  • Bucchi M and B Trench (2022) (eds) Routledge Handbook of Public Communication of Science and Technology, 3nd edition, London, Routledge.
  • Brachman RJ and HJ Levesque (2022) Machines like us – towards AI with common sense, Cambridge MA, MIT Press.
  • Cobb M (2022) The Genetic Age – our perilous quest to edit life, London, Profile books.
  • Godin B and D Vinck (2017) (eds) Critical Studies of Innovation. Alternative approaches to the pro-innovation bias, Cheltenham, Edward Elgar.
  • Jasanoff J (2005) Designs on Nature – science and democracy in Europe and the United States, Princeton, Princeton University Press.
  • B Latour, 'On inter-objectivity', Mind, Culture and Activity, 3, 228-245, 1996;
  • Marteau, T. & Richards, M.P.M. (1996) (Eds), The troubled helix: Social and psychological implications of the new human genetics, CUP.
  • Norman DA (1998) The invisible computer – why good products fail …. Cambridge MA, MIT Press.
  • Rogers, E.M. (1996). Diffusion of innovation, 4th edition. New York: Free Press.
  • Sammut G and MW Bauer (2021) The Psychology of Social Influence – Modes and Modalities of Shifting Common Sense, Cambridge, CUP
  • Weart, S.R. (1988). Nuclear fear: A history of images, Harvard University Press.

Assessment

Essay (100%, 3000 words) in the ST.

Key facts

Department: Psychological and Behavioural Science

Total students 2023/24: 9

Average class size 2023/24: 10

Controlled access 2023/24: Yes

Value: Half Unit

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