Ms Victoria Louise Kasprowicz
| Post: | Research Fellow in Energy Demand (SPRU - Science Policy Research Unit) |
| Location: | JUBILEE BUILDING |
| Email: | V.Kasprowicz@sussex.ac.uk |
Telephone numbers | |
| Internal: | 2707 |
| UK: | 01273 872707 |
| International: | +44 1273 872707 |
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Biography
My PhD explored the relationship between gender and energy access in the context of rural electrification. I asked the question: what can the application of insights from the social practice theory and gender studies literatures, through a focus on appliance use, reveal about the gender-energy nexus? From this work, I suggested that the gender-energy nexus is best understood as performative and 'done' through appliance-use.
Prior to joining the University of Sussex, from 2013-2016 I helped to create and run a social enterprise called Kingo that provides a prepay solar energy service to low-income, non-electrified communities in Guatemala and Colombia. I was one of the original three directors when the company was founded and was responsible for Kingo’s internal and external communications, contributing to its overall business strategy and helping to set up and manage its first regional office in the North of Guatemala.
During my time in Guatemala I also completed an MSc in Development Management with the Open University and worked with the Guatemalan Human Rights Commission to support the needs of human rights defenders for my final thesis.
Qualifications
2017 - 2023: PhD Gender and Energy Access, University of Sussex
Thesis: Understanding the gender-energy nexus in the context of off-grid electrification
2011 - 2014: MSc Development Management (Distinction), The Open University
Thesis: Approaches to Understanding and Addressing the Needs of Human Rights Defenders in Guatemala - in collaboration with the Guatemalan Human Rights Commission
Modules: Context and practice; War, intervention and development; Capacities for Managing Development; International Law, Institutional Development.
2001 - 2004: BSc Hons Psychology (2:1), University of Southampton
Thesis: Familiarity in facial recognition
Modules: Biology, Statistics, Behavioural Neuroscience, Developmental Psychology, Social Psychology, Language and Memory, Perception, Clinical Psychology.