The Oxford Summer School in Economic Networks



*** The Oxford Summer School in Economic Networks wil be held from June 25-29, 2018 - more information on how to apply coming soon ***

The Oxford Summer School in Economic Networks will bring together students from a range of disciplines for a week to learn about the techniques, applications and impact of network theory in economics and development. We will have globally leading experts guide lectures and interactive workshops on topics such as social networks, games and learning, financial networks, economic complexity and urban systems.

We look forward to welcoming a large number of world renowned experts in economic networks and complexity science including Prof Sanjeev Goyal, Prof Vasco Carvalho, Prof Sujit Kapadia and Prof Mihaela van der Schaar and Prof Doyne Farmer. See below for a more extensive and detailed draft agenda and list of confirmed speakers. 

Dates: June 26-30, 2017

Location: Mathematical Institute, University of Oxford


  • This school is targeted towards graduate students (Masters/PhD) from Mathematics, Statistics, Economics, Social Sciences, Geography, Development, and Public Policy. Other disciplines welcome. 
  • Admission is currently by application only (see below for details). 
  • We will admit a small number of outstanding undergraduates. 
  • There are no geographical restrictions - you may be a student at any university world-wide. 
  • You will need some mathematical/computational background (in particular, familiarity with university level linear algebra and dynamical systems, and some coding experience), but no experience with networks necessary.
  • Practical tutorials will be held in Matlab. We will cater for Matlab beginners, but students are expected work on their own laptop and have a Matlab installation from their home institution. Please contact us if this presents a problem.


  • The registration fee including all tuiton and social events will be 200 pounds sterling. Note: this does not include meals or accommodation. It does include social events (see agenda below).
  • We are no longer accepting direct registrations due to high demand. To be considered for a place, please apply with a CV and cover letter to by April 15th, 2017***. Please clarify in your email whether you are applying only for a place, or also an accommodation bursary as well (see below). 
  • If you wish to attend the summer school but for some reason you would like to pay the fee later (e.g., you need to apply for funding from your home university), we will hold a place if you contact us with a 2 page CV, short cover letter and the date you expect to pay the fee. 


  • Summer accommodation in Oxford fills up fast! We have reserved a small number of university rooms for summer school students at a very reasonable rate - please contact us for more information. University rooms may also be available here.
  • We will have a small number of accommodation bursaries (full or part payment of accommodation in a college room for 5 nights, June 25th-29th) for students normally resident outside of Oxford. To be considered for a bursary, please apply with a CV and cover letter to by April 15th, 2017.

*** If you applied for an accommodation bursary before March 28th, but did not already register, we are holding a place for you pending the bursary decision (you may still register at that point even if a bursary is not given). 

Organising team: Neave O'Clery (Chair, Mathematical Institute), Mariano Beguerisse (Mathematical Institute), Penny Mealy (Institute for New Economic Thinking),  Francois Lafond (Institute for New Economic Thinking), Nils Rochowicz (Economics), Stefania Bocchi (Mathematical Institute)

Contact: For more information, contact us at


                                                      DRAFT AGENDA

Draft Agenda for the Oxford Summer School in Economic Networks.

Note: this is an indicative and non-exhaustive list of topics to be covered. We have included the names of some lecturers against topics they are likely to cover, but again this is subject to change.

  • Intro to networks with Prof Mauricio Barahona (Imperial College)
    • Overview of the development of network science, and the diversity of applications and impact
    • Examples of successful applications of networks in social science and economics
  • Network analysis with Dr Mariano Beguerisse and Dr François Lafond (University of Oxford)
    • Basics of networks: types of networks, representation as matrices, basic properties. 
    • Models of network growth, random graphs
    • Random walks and diffusion processes on networks
    • Node centrality metrics
    • Community detection algorithms
    • Tutorials: Network analysis using Matlab, and network visualisation using Gephi
  • Social networks, games and learning
  • Economic complexity and development with Dr Neave O’Clery (University of Oxford)
    • A capability based model of economic growth
    • Industry and product networks to study knowledge structure and model economic diversification paths
    • Tutorial: Using network models for industrial policy with Penny Mealy (University of Oxford)  
  • Financial and production networks
    • Financial contagion with Prof Sujit Kapadia (Bank of England)
    • Agent-based modelling with Prof Doyne Farmer (University of Oxford)
    • Production networks with Prof Vasco Carvalho (Cambridge University)
    • Tutorial: Modelling interbank flows and volatility in the financial system
    • Policy debate: What role does complexity science have in economic forecasting? With panellists Prof Doyne Farmer (University of Oxford), Dr Stephen Kinsella (University of Limerick), Prof Sujit Kapadia (Bank of England) and Dr Rosa Fernandez (UK Department for Business, Energy and Industrial Strategy). Chaired by Prof Dariusz Wojcik (University of Oxford). This event will take place at the Mathematical Institute,  Radcliffe Observatory Quarter, Woodstock Rd, Oxford OX2 6GG in lecture room L2 on the lower level from 3.45-5.30pm on June 29th. 
  • Urban systems with Dr Elsa Arcaute (University College London) and Prof Peter Grindrod (University of Oxford)
    • Scaling laws
    • Big data analytics in the urban sciences
    • Transport and infrastructure networks
    • Tutorial: Urban systems
  • Social events
    • College dinner at Somerville College
    • Walking tour of Oxford 
    • Punting on the river Cherwell