Bridging the Mathematical and Social Sciences
The Bridges Programme aims to provide PhD students with deep knowledge of contemporary research questions in the social sciences, and rigorous training in the mathematical and computational approaches needed to answer them. This programme is open to students interested in any area of the social sciences (e.g., Economics, Psychology, Political Science, or Sociology) or mathematical sciences (e.g., Statistics, Complex Systems, or Computer Science), and who are interested in bridging the boundaries between these domains. The Trust has a particular interest in supporting UK or EU students.
Applications for 2017/18 are now open. Closing date 26 February 2017.
Prospective students will be interested in topics that bridge the social and mathematical sciences, involving quantitative (mathematical or computational) approaches to resolving questions in the social sciences.
The goal of this programme is to train students to contribute to and lead research that brings quantitative sophistication to theory-driven questions in the social sciences. Students will have a mentor in social sciences (e.g., Psychology, Economics, Business, Politics, or Sociology) and a mentor in the mathematical sciences (e.g., Computer Science, Statistics, or Mathematics). Projects can address questions in any domain including, for example, natural language, finance, health, cognition, or any other topics related to the social sciences. A list of topics to which students may apply can be found under Projects. Applicants should mention their preferred topic(s) and potential main supervisor in the letter of motivation, and may want to contact these supervisors ahead of time.
The PhD programme will involve numerous opportunities to develop quantitative and theoretical skills with guidance from leaders in the mathematical and social sciences. Successful candidates will be provided with state-of-the-art resources for computing, and support for research and conferences, as well as tuition fees and a monthly stipend for 3 years.
Applicants may come from any background, but should have well-developed interests in quantitative problem-solving, which may include knowledge of computer programming, mathematical or statistical training, or prior training in mathematical modeling. Overseas students should be proficient in English.
Students currently on the programme are as follows (Department and Supervisors):
- Li Ying (Psychology; Thomas Hills)
- Irina Kholodenko (Economics; Motty Perry, Bhaskar Dutta, Matt Keeling)
- Elena Kochkina (Computer Science; Maria Liakata, Rob Procter)
- Gian Lorenzo Spisso (Centre for Complexity Science; Matthew Turner, Jonathan Cave)
- Alexandra Surdina (Psychology; Adam Sanborn, Jim Smith)
- Kenneth Lim (WBS; Daniel Read, Jerker Denrell WBS, Jane Hutton, Statistics)
- Giovanni Burro (Statistics: Vicky Henderson/Julia Brettschneider)
- Andreas Ferrara (Economics: Sascha Becker)
- Jonathan Muscat (Statistics: Vicky Henderson)
- Carlo Schwarz (Economics: Fabian Waldinger)
- Rachel Wilkerson (Statistics: Jim Smith)
Bridges is a Leverhulme Trust Doctoral Scholarships programme, funded jointly by the Leverhulme Trust and the University of Warwick.
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Contact us at:
bridgesprogramme at warwick dot ac dot uk
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