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The Oxford Summer School in Economic Networks

The dates for the 2024 school are June 24-28.

The Oxford Summer School in Economic Networks seeks to create a stimulating and friendly environment to bring students from varied disciplines together to learn about theories, techniques, quantitative methods, applications and impacts of network theory within economics. 

We are excited to host world leading academics, scientists, and global policy makers to guide lectures, engage with students and host workshops on topics relating to network theory and economics. These will include topics of social networks, games and learning, financial networks, economic complexity, urban systems and innovation. 

We are looking forward to welcoming a large number of world leading experts pushing the global knowledge frontier across economic networks and complexity science. The keynote for 2024 will be Sune Lehmann (Technical University of Denmark). Confirmed speakers include Hyejin Youn (Northwestern),  Elsa Arcaute (University College London), Alexandra Brintrup (University of Cambridge), Tobias Reisch (Complexity Science Hub Vienna), Renaud Lambiotte (University of Oxford),  Rama Cont (University of Oxford), Doyne Farmer (University of Oxford), Fabian Braesemann (University of Oxford) and Frank Neffke (Complexity Science Hub Vienna). 

The Oxford Summer School in Economic Networks is hosted by the Mathematical Institute and the Institute for New Economic Thinking at the Oxford Martin School. 

The school is in person only. No lectures will be streamed. Lectures and tutorials will be held in the Department of Statistics (24-29 St Giles', Oxford OX1 3LB) and the Oxford Martin School (34 Broad St, Oxford OX1 3BD).

2024 Dates 

12th March: Application portal closes 

21st March: Admission notifications

4th April: Fee due 

24th - 28th June: Summer school in session

Eligibility

The school is targeted towards postgraduate students (Masters/PhD) from Mathematics, Statistics, Economics, Social Sciences, Geography, Development and Public Policy; students from other disciplines and interested early career professionals are also invited to apply. 

We will admit a small number of outstanding undergraduate students. 

You will need some quantitative/computational background including familiarity with university level linear algebra and dynamical systems, and some coding experience. 

Some existing experience with network analysis is typical. 

Application

In order to apply, you will need to submit a 1 page CV and a short motivation letter to attend the summer school. 

The application form can be found here. The deadline for submission is March 12th 2024. 

Note: if you would like to be considered for early admission due to visa timelines (only for those needing a visa) we will consider these from Jan 15, 2024. Please fill in the form and contact @email directly. 

Fee

The fee for the school, which includes tuition and social events only, is £370. The fee will be payable within 2 weeks of acceptance (see dates above). The fee is unfortunately strictly non-refundable as we have fixed costs to pay. We are non-profit and all of your fees go directly into the school costs. 

Social events typically include a welcome drinks reception, dinner for the whole cohort, a walking tour of Oxford and punting (rowing) on the river in small groups. Travel and accommodation is not include in the fee, and is organised by students themselves. Meals (except for the dinner) are also not included, but there are plentiful affordable options in the vicinity of the school.  

Organising Committee

The organising team is based across the Mathematical Institute (MI), the Bartlett Centre for Advanced Spatial Analysis at University College London (UCL), the Institute for New Economic Thinking (INET), the Oxford Martin School (OMS), Oxford-Man Institute of Quantitative Finance (Oxford-Man) and the Department of Engineering Science (EngSci) across the University of Oxford.

Neave O'Clery (Chair, UCL, MI, OMS), Xiaowen Dong (Co-Chair, Oxford-Man, EngSci), Andrew Renninger (UCL) and Sukankana Chakraborty (UCL/ATI), Laura Mazzarino (Catania) and Adria Rius (SOAS).

Contact:

For more information, contact us at @email

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Please contact us with feedback and comments about this page. Last updated on 04 Mar 2024 17:02.