Urban segregation in behaviours: A data-driven approach
About the Speaker
Dr Xiaowen Dong
Xiaowen Dong is a Departmental Lecturer in the Department of Engineering Science and a Faculty Member of the Oxford-Man Institute, University of Oxford. He is primarily interested in developing novel techniques that lie at the intersection of machine learning, signal processing, and game theory in the context of networks, and applying them to study questions across social and economic sciences, with a particular focus on understanding human behaviour, decision making and societal changes.
Urban income segregation is a widespread phenomenon that challenges societies across the globe. Classical studies on segregation have largely focused on the geographic distribution of residential neighbourhoods rather than on patterns of social behaviours and interactions. In this talk, I will present some of our recent work on understanding segregation in economic and social interactions using large-scale behaviour data, e.g., credit card transactions, Twitter mentions, and mobility records, in several culturally different metropolitan areas. Our results provide novel insights into the understanding of behavioural segregation in human interactions in urban environment with socio-political and economic implications.
This event is part of a seminar series:
Trinity 2019 Seminar Series: Qualitative & Quantitative Methods for Big Data: A journey through social, medical and natural sciences
Trinity Term 2019 Seminar Series Qualitative & Quantitative Methods for Big Data: A journey through social, medical and natural sciences Seminar Room: 66 Banbury Road, Oxford OX2 6PR Convener: Dr Sara Zella
20 June 2019 14:00 - 15:30
Oxford Institute of Population Ageing
66 Banbury Road, Oxford, OX2 6PR