Redwan Shahid
Email: m.r.shahid@qmul.ac.uk
Biography
Redwan holds a BSc (Hons) in Economics from Queen Mary University of London and an MA in Political Economy from King’s College London. He has worked in the Queen Mary Students’ Union as the Vice-President Education in the 2018/19 academic year. After his MA at King’s, he came back to work at Queen Mary’s Strategy Delivery Office holding various roles before moving to the Office of the Principal to work on the Education Enabling Plan and Strategy 2030. Most recently, he has worked as the Executive Officer to the Vice-Principal (Education) supporting the delivery of QM’s Education Strategy and KPIs.
He has previously researched and supported initiatives that impact student engagement and outcomes, notably contributing to Queen Mary’s Peer-Led Team Learning Initiative. As part of the project team, he has successfully applied for various grants, published research papers and case studies, and presented at various conferences.
Project title
Modeling Aid’s Role in Democratization: Analyzing Elite-Citizen Incentives and Payoffs in Political Transitions
Project description
My research explores democratization as a multi-step bargaining process between elites and citizens within a Rational Choice Theory framework. I investigate how foreign aid influences these bargaining processes by altering individual and group payoffs under different political institutions, impacting the preferences and incentives for democratization. The project addresses conflicting findings in the literature by incorporating an interdisciplinary approach — combining economic theory, conflict analysis, and political philosophy — to identify key incentive structures. By integrating aid inflows into a microeconomic framework, I consider key factors like corruption, income redistribution mechanisms, and public support for democracy.
Supervision
Primary Supervisor: Dr Caterina Gennaioli
Secondary Supervisor: Professor Sanghamitra Bandyopadhyay
Centre and Group Membership
- Member of Centre for Globalisation Research (CGR)
- Member of Computational and Quantitative Methods
Website