Researcher and Teaching Associate, previously Affiliated Lecturer in Environmental Economics and Policy Evaluation. With a background in environmental sciences and ecological economics, she has investigated various aspects of governance in the transition towards more sustainable systems, including the analysis of international negotiations on biodiversity, multi-criteria analysis of measures to promote sustainable transport, and evaluation of large scale environment and development policies.
Her current research is focused on rewards for ecosystem services, finding appropriate incentive schemes to catalyse pro-environmental behaviour and increase the efficacy of environmental policy instruments. She is focused on the predictors for the adoption of silvopasture (a type of agroforestry) in the tropical forest frontier, using empirical data from Chiapas, Mexico. Her thesis explains this adoption in terms of exogenous and endogenous predictors, derived from behavioural economics and social psychology, and within a context of pathway dependency influenced by the recent social and environmental history of the case study.
She also lectures in R statistical language and Q methodology at the Social Sciences' Research Methods Centre and the Graduate School of Life Sciences. She is the departmental focal point for the Cambridge Conservation Initiative.
Aiora has a BSc in Environmental Sciences with focus on social environmental sciences from the Autonomous University of Barcelona (UAB; 2005). She studied postgraduate courses in Ecological Economics (ICTA-UAB, 2006) while working as a research assistant at the Department of Geography (UAB). She holds an MSc in Environmental Policy from the Oxford University Centre for the Environment (OUCE, 2007). She has worked in the private sector as web knowledge consultant for a clean technology networking platform (Skipso), and as independent designer of visual material for environmental communication. She has visited the Institute of Natural Resources in South Africa, ECOSUR-El Colegio de la Frontera Sur in Mexico, Hosei University in Japan, and BC3-Basque Centre for Climate Change in Bilbao.
- EP04 Environmental Policy Assessment and Evaluation
Lecturer and course coordinator, 2015
- EP02 Fundamentals of Environmental Economics
Lecturer and supervisor, 2014
- Paper 5: Environmental Economics, Law and Policy
Lecturer and supervisor, 2013, 2014
- Paper 1: Welfare Economics
Undergraduate supervisor, 2014, 2015
- Innovative Qualitative Methods: Q Methodology at the SSRMC
Lecturer, 2014, 2015
- Bioinformatics: An Introduction to Solving Biological Problems with R at the Graduate School of Life Sciences
Lecturer, 2014. See some great notes for teaching and learning R statistical language here.
- Introduction to R for Tripos Part III Systems Biology
- Foundations in Applied Statistics at the SSRMC
Lecturer and demonstrator, 2014
- Replication Workshop, Regression Diagnostics, Webscrapping, Introduction to R, at the SSRMC
Teaching assistant, 2013-15
- Zabala, A., Pascual, U., García-Barrios, L.E. In press. Payments for pioneers? Revisiting the role of external rewards for sustainable innovation under heterogeneous motivations. Ecological Economics.
- Zabala, A., Pascual, U. 2016. Bootstrapping Q methodology to improve the understanding of human perspectives. PLoS One 11(2):e0148087.
- Larcom, S., van Gevelt, T. and A. Zabala 2016. Precolonial institutions and deforestation in Africa. Land Use Policy 51: 150–161.
- Zabala, A. 2014. qmethod: a package to explore human perspectives using Q methodology. The R Journal 6/2: 163–173. (open access)
- Zabala, A. 2009. Walking the green carpet to work (A multi-criteria analysis of policy instruments towards sustainable transport) International Journal of Sustainable Development 12 (1): 78.
- Scolobig, A, V Castán-Broto, and A Zabala. 2008. Integrating Multiple Perspectives in Social Multicriteria Evaluation of Flood-Mitigation Alternatives: The Case of Malborghetto-Valbruna. Environment and Planning C: Government & Policy 26 (6): 1143–1161.
- Zabala, A. 2014. Qmethod: an R package to analyse Q methodology data. Available at CRAN repositories and in Github.