Catharina Landström specialises in environmental STS (Science and Technology Studies). She is interested in the relationships of environmental science and society, focusing on the various roles computer models play in research and policy. She does ethnography of scientific computer modelling and she explores participatory approaches. Her work on participatory modelling began in the 'Understanding environmental knowledge controversies. The case of flood risk management' project running from 2007 to 2010. She contributed to the development of the Environmental Competency Groups methodology, trialled in a project on flood risk management in Pickering, Yorkshire. Later a Senior Researcher in the MaRIUS (Managing the Risks, Impacts and Uncertainties of Drought and Water Scarcity) project, 2014-17, she was involved with the the invention of the Community Modelling technique that uses scientific computer models to increase the capacity of local people to engage with water management.
- Member of the Technological Life: Environments, Bodies, Mobilities research cluster
- Tel: +44 (0)1865 614960
- Email: email@example.com
Since 2017 she has been a Research Fellow in SoGE focusing on further development of the Community Modelling technique. This has involved projects on flooding in Otley, Yorkshire, and on water quality in East London. Her collaboration with the environmental NGO Thames 21 in London continues, currently with the creation of a pedagogical tool based on the water resources model produced in the MaRIUS project.
- Landström, C. (2017) Tracing uncertainty management through four IPCC Assessment Reports and beyond. Chapter 12 in, Heymann, M., Gramelberger, G. and Mahony, M. (eds.) Cultures of Prediction in Atmospheric and Climate Science: Epistemic and Cultural Shifts in Computer-based Modelling and Simulation. Routledge.
- Landström, C. (2017) Transdisciplinary Environmental Research: A Practical Approach. Palgrave MacMillan, London.
- Landström, C. and Bergmans, A. (2015) Long-term repository governance: a socio-technical challenge. Journal of Risk Research, 18(3): 378-391.
- Landström, C. and Whatmore, S.J. (2014) Virtually Expert: Modes of Environmental Computer Simulation Modeling. Science in Context, 27(4): 579-603.
- Lane, S., November, V., Landström, C. and Whatmore, S. (2013) Explaining rapid transitions in the practice of flood risk management. Annals of the Association of American Geographers, 103(2): 330-342.
- Landström, C., Whatmore, S.J. and Lane, S.N. (2011) Virtual engineering: computer simulation modelling for flood risk management in England. Science Studies, 24(2): 3-22.
- Landström, C., Whatmore, S.J., Lane, S.N., Odoni, N.A., Ward, N. and Bradley, S. (2011) Coproducing flood risk knowledge: redistributing expertise in critical 'participatory modelling'. Environment and Planning, A, 43(7): 1617-1633.
- Lane, S.N., Landström, C. and Whatmore, S.J. (2011) Imagining flood futures: risk assessment and management in practice. Philosophical Transactions of the Royal Society, A, 369(1942): 1784-1806.
- Lane, S.N., Odoni, N., Landström, C., Whatmore, S.J., Ward, N. and Bradley, S. (2011) Doing flood risk science differently: an experiment in radical scientific method. Transactions of the Institute of British Geographers, 36(1): 15-36.
- Whatmore, S.J. and Landström, C. (2011) Flood apprentices: an exercise in making things public. Economy and Society, 40(4): 582-610.
- Whatmore, S.J. and Landström, C. (2010) Manning's n: putting roughness to work. In, Howlett, P. and M. Morgan (eds.) How well do facts travel? The dissemination of reliable knowledge. Cambridge University Press, Cambridge. pp. 111-135. ISBN: 9780521159586.