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PhD Projects

An indicative list of topics to which students may apply

(Other topics or supervisors are welcome but should be discussed with potential supervisors. All supervisors may be contacted by potential applicants.)

  • Development of numerical methods for kinetic models in socio-economic applications (PDF Document) Matteo Icardi, Marie-Therese Wolfram (Warwick Mathematics Institute)
  • Decision Support for Food SecurityJim Q. Smith, Statistics
  • Causes and consequences of political violence, Civil-military relations, International migration and economic development.
    Vincenzo Bove, Politics and International Studies
  • Rational Choice in the face of Competing ObjectivesJim Q. Smith, Statistics
  • Neuroimaging genetics for economic and strategic choice
    Jianfeng Feng (Computer Science), Sebastiano Massaro (WBS) [with Aldo Rustichini (U. Minnesota)]
  • Forecasting real world behaviour using data from Google, Wikipedia and FlickrTobias Preis & Suzy Moat, WBS
  • Measuring and predicting human behaviour with online photographsTobias Preis & Suzy Moat, WBS
  • Understanding the drivers of vaccine uptakeMatt Keeling, Mathematics
  • Patterns of social contactMatt Keeling, Mathematics
  • Drivers of animal/livestock movements in association with disease predictionMatt Keeling, Mathematics
  • Response to Health Campaigns, from seasonal flu vaccinations to eating 5-a-day, looking at the success and up-take of such campaignsMatt Keeling, Mathematics
  • Social sampling, social contagion, and political polarisation: A network model based on psychologically plausible agents with memory limitationsGordon Brown, Psychology
  • The evolution of mutually cooperative social groups: Effects of infectious disease prevalence Gordon Brown, Psychology
  • Effects of income inequality on materialistic attitudes in social networks Gordon Brown, Psychology
  • Data, Textual and Statistical Analysis and Mapping of Economic and Social issues in Economic HistorySascha O. Becker, Economics
  • Social mobility over multiple generations, using the Millennium Cohort Survey and/or Understanding Society/BHPS to look at how grandparents affect grandchildren’s outcomes (test scores, exam results, behavioural issues), net of the impact of the parentsTak Wing Chan, Sociology
  • Big spenders: Exploring credit card spending and repayment decisions using millions of credit card transactionsNeil Stewart, Psychology
  • Big decisions: Modelling consumer choices using natural language processing with big data from a large retailerNeil Stewart, Psychology
  • Big policing: Characterising police officers using on-line laboratory experiments matched to big data from the policeNeil Stewart, Psychology
  • Big crime: Using social media to crimeforecast
    Neil Stewart, Psychology
  • A project in political communication, media and politics or green politics using innovative multivariate data analysis methods, such as correspondence analysis, sequence analysis, textual analysis or data visualisationsPhillippe Blanchard, Politics and International Studies
  • Mapping social sciences through automated analysis of bibliographies and publications (content analysis, text mining, lexicometrics)
    Phillippe Blanchard, Politics and International Studies
  • Comparative politics and/or political sociology: democracy and democratization, as dependent and/or independent variable, using large-N cross-national data sets over timeRenske Doorenspleet, Politics and International Studies
  • Comparative politics and/or political sociology: public opinion around the functioning of political systems and popular dissatisfaction with politics, using cross-national data, globally but with specific interest in Africa,Renske Doorenspleet, Politics and International Studies
  • Comparative politics and/or political sociology: measuring complex concepts in political science such as 'democracy', 'poverty', 'development', 'security', 'corruption' - also investigating the (limits of) cross-national comparability of such conceptsRenske Doorenspleet, Politics and International Studies
  • Information flows, influence and committee decision makingMichael McMahon, Economics
  • Topics, trends and first stories in social media and scientific publications (text mining, machine learning, natural language processing)Maria Liakata, Computer Science
  • Capturing the effect of the environment on diseases from scientific publications and social media (text mining, machine learning, natural language processing)Maria Liakata, Computer Science
  • Stochastic modelling in behavoural finance and economics Vicky Henderson, Statistics
  • Robustness of Models in Behavioral Economics: How robust are (financial) timing decisions under non-expected utility preferences to modelling structure? Vicky Henderson, Statistics

  • 1) Compositional data analysis 2)Statistical learning from sequential pair-comparison data 3)Modelling citation life-histories, and predicting trajectories of published research David Firth, Statistics 

  • Building buyer-seller relationships in a global supply chain, using matched customs panel data on ready-made garments orders in Bangladesh Guillermo Noguera, Economics
  • Vulnerability and Resilience to Being Bullied by Peers: A seven Cohort Study Dieter Wolke, Psychology

  • Work Place Bullying and ProductivityDieter Wolke, Psychology


Bridges is a Leverhulme Trust Doctoral Scholarships programme, funded jointly by the Leverhulme Trust and the University of Warwick.

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