Atrina Oraee
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Atrina Oraee is a Lecturer in Psychological and Behavioural Science at the London School of Economics and Political Science (LSE). She holds a PhD in Psychological & Behavioural Science from LSE, where she also earned her MSc with distinction, for which she was awarded the Rob Farr Award for Best Dissertation at LSE. Her research focuses on micro decision-making in everyday life, employing innovative methodologies such as Subjective Evidence-Based Ethnography. Atrina's work explores the intricate processes of human decision-making and their implications for various sectors, including consumer behaviour, sustainability, and public policy.
At LSE, Atrina teaches courses on consumer psychology, social and organisational decision-making, and international human resource management. She has been recognized for her teaching excellence, receiving the Class Teacher Award from LSE's Department of Psychological and Behavioural Sciences. Atrina has achieved Fellow status (FHEA) from Advance HE, acknowledging her contributions to teaching and learning in higher education.
Research interests
Decision-Making, Applied Psychology, Consumer Psychology, Sustainable Behaviour, Behaviour Change, Experimental Methods in Social Science.
The Socioscope: a pioneering methodology for understanding societal transitions
The Socioscope is a groundbreaking research project that delves into the intricate processes of sustainability transitions, with a specific focus on food production, distribution, and consumption. This innovative endeavor aims to uncover 'what happens on the ground' during these complex societal shifts, offering unprecedented insights into the mechanisms of change at local, regional, and global levels.
At its core, the Socioscope employs a pioneering methodology that combines extensive qualitative data collection with cutting-edge machine learning techniques. The project team gathers highly detailed information on hundreds of local initiatives worldwide that are striving to promote positive development or reduce negative externalities in the food system. This rich dataset includes video footage and in-depth field interviews, capturing not only the activities of these initiatives but also their interactions with local and larger systems across economic, social, environmental, and governance dimensions.
The true innovation of the Socioscope lies in its ability to process and analyze this vast amount of qualitative data using advanced machine learning tools. This approach allows researchers to bridge the gap between micro-level observations and macro-level trends, identifying critical factors that contribute to the success or failure of sustainability initiatives. By linking individual cases to broader patterns, the Socioscope offers a unique perspective on the complex dynamics of societal transitions.
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