- Dr Sophie Haines
- Lecturer in Anthropology of Development
- 4.15 Chrystal Macmillan Building 15a George Square Edinburgh UK EH8 9LD
- +44 (0)131 651 1717
- Research Interests
- Environmental anthropology, Knowledge production and practices, Anthropology of Development, Science and technology studies, infrastructure, Weather and Climate, Forecasting practices, Conservation and development, Political ecology, Science, technology and development, Belize, water
Guidance and Feedback Hours
- Wednesdays 11-1 in teaching weeks, or by appointment. I am currently holding virtual office hours: please book using the link below or email for an alternative time:
Sophie Haines is an anthropologist of development, environment, science & technology. Her research explores knowledge practices, environmental perceptions, and decision-making in contexts of social and ecological change. Three key areas of interest are: infrastructure and anticipation; environmental citizenship; and ecologies of knowledge. Her projects to date have focused on highway planning and construction; the production and application of weather and climate forecasts; and the negotiation of environmental knowledges in watershed assessments and interventions. She has carried out ethnographic research and interview-based studies in Belize, Kenya and the UK.
Sophie completed her PhD in Anthropology at University College London in 2011. From 2013-19 she was a Research Fellow at the Institute for Science, Innovation and Society (University of Oxford), where she held an ESRC Future Research Leaders grant 2017-18 and worked in projects funded by NERC, DfID and the Oxford Martin School. From 2010-12 she worked as a parliamentary researcher in the UK House of Commons, focusing on health policy among other areas. She sits on the Royal Anthropological Institute Environment Committee, and convenes the Network for Anthropologies of Forecasting Weather and Climate (AnthFOR).
Journal articles & book chapters
Di Giminiani, P. & Haines, S. 2020 Introduction: Translating environments. Ethnos 85(1):1-16
Haines, S. 2019 Reckoning resources: political lives of anticipation in Belize’s water sector. Science & Technology Studies 30(4):97-118
Haines, S. 2019 Managing expectations: articulating expertise in climate services for agriculture in Belize. Climatic Change 157(1):43-59
Taddei RR & Haines S 2019 When climatologists meet social scientists: ethnographic speculations around interdisciplinary equivocations, Sociologias 21(51):186-209 (simultaneously published in Portuguese)
Haines, S. 2018. Imagining the highway: anticipating infrastructural and environmental change in Belize. Ethnos, 83(2): 392-413
Lopez, A. & Haines, S. 2017. Exploring the usability of probabilistic weather forecasts for water resources decision-making in the United Kingdom. Weather, Climate, & Society, 9(4):701-715
Haines, S. 2012. Meaningful resources & resource-full meanings: spatial and political imaginaries in southern Belize. In M. Janowski & T. Ingold (eds) Imagining Landscapes: Past, Present & Future. Ashgate. Pp 97-120
Haines, S. & Di Giminiani, P. (eds) 2020. Translating environments: translation and indeterminacy in the making of natural resources. Ethnos 85(1)
Working papers, reports & reviews
Haines S, Cano A, Hislop A & Williams T 2019. Water: environmental knowledge and rural life in Belize. Report of a multi-stakeholder workshop. Working paper: https://ora.ox.ac.uk/objects/pubs:980210
Haines, S., Imana, C. A., Opondo, M., Ouma, G. & Rayner, S. 2017. Weather and climate knowledge for water security: Institutional roles and relationships in Turkana. REACH Working Paper 5, University of Oxford.
Haines, S. 2016. An anthropological perspective on scientific predictions for water decision-making. In N. Encalada et al. (Eds.), Research Reports in Belizean History & Anthropology 4, 97-103. Belize: NICH
Topics interested in supervising
I am interested in supervising students with projects related to any of my research interests.
If you are interested in being supervised by Sophie Haines, please see the links below for more information: