After completing a PhD in Theory of Science and Research in her native Sweden, Catharina did research on different topics, in different countries, until becoming interested in environmental knowledge and expertise. To pursue Science and Technology Studies (STS) research on environmental science, expertise and knowledge she came to the UK. Her first job in this country was a post doc in the 'Environmental knowledge controversies: The case of flood risk management' project based in the School of Geography and the Environment, Oxford. After the completion of this project in 2010 she moved to the University of East Anglia to work, at first, in a project on climate change science, policy, risk and uncertainty and later in a European project on the geological disposal of nuclear waste. In April 2014 she returned to the School for a post in the MaRIUS project on drought and water scarcity. Her primary interests are STS investigation of environmental modelling, up-stream public engagement and the role of environmental expertise in decision making.
- Member of the Technological Natures: Materials, Cities, Politics research cluster
- Tel: +44 (0)1865 614960
- Email: email@example.com
Catharina is working with Professor Sarah Whatmore in the MaRIUS (Managing the Risks, Impacts and Uncertainties of droughts and water Scarcity) project. Aiming to introduce and explore a risk-based approach to the management of droughts and water scarcity this interdisciplinary project will be framed in a social science analysis of how impacts of droughts and water scarcity are currently understood and managed by key actors, it also embeds stakeholder engagement from the beginning. The Human Geography work in MaRIUS draws on scholarship at the intersection of STS and political theory to analyse a varied empirical material. On the national scale we trace science-based knowledge and expertise and map drought and water scarcity controversies in the UK. We also aim to understand local experiences of drought and water scarcity through field studies in two localities in the Thames Basin. In order to bring scientific and vernacular knowledge about drought and water scarcity together we will refine the Competency Group methodology for critical co-production of environmental knowledge.
- 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. 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.