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 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 Policy. Other disciplines welcome.
- We will admit a select number of undergraduates by application. If you are an undergraduate, please apply with a CV and cover letter to firstname.lastname@example.org (each will be decided on a case-by-case basis).
- All current Masters and PhD students may directly register for the school (you may be asked to provide evidence of enrollment, or graduation within the previous 6 months).
- 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.
Registration and Accommodation:
- 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).
- You can register here. Places are allocated on a first come first served basis for eligible applicants. We will have limited places, so please sign up early. NOTE: WE ARE FILLING UP FAST. RESERVE EARLY TO SECURE A PLACE.
- 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 for students normally resident outside of Oxford. To be considered for a bursary, please apply with a CV and cover letter to email@example.com by April 15th, 2017.
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 firstname.lastname@example.org
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), Oliver Burrows (Bank of England) and Dr Rosa Fernandez (UK Department for Business, Energy and Industrial Strategy). Chaired by Prof Dariusz Wojcik (University of Oxford).
- 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
- Drinks in a historic pub
- Punting on the river Cherwell