“The ballet of the good city sidewalk never repeats itself from place to place, and in any one place is always replete with new improvisations.”
February 6th 2019
Apply now for the 3rd edition of the Oxford Summer School in Economic Networks 2019 (June 24-28).
October 31st 2018
New report out on Data science, artificial intelligence and the futures of work for the Alan Turing Institute with Sanna Ojanpera and Professor Mark Graham.
Originally from Dublin, I am currently a Senior Research Fellow at the Mathematical Institute at the University of Oxford. My research focuses on economic development and the emergence of complexity for urban systems.
I was previously a Fulbright Scholar and Postdoctoral Research Fellow at the Center for International Development at the Harvard Kennedy School following my PhD (mathematics) at Imperial College. I am also founder and Editor in Chief of Angle – a journal based at Imperial College focusing on the intersection of policy, politics and science – since 2009. More …
PEAK Urban is a 4 year international multidisciplinary programme funded by the Global Challenges Research Fund (RCUK GCRF) involving researchers at the University of Oxford, Peking University, University of Cape Town, the Indian Institute for Human Settlements, and EAFIT University (Colombia).
The team from the Oxford Mathematical Institute will focus on studying cities as complex social, spatial and economic systems, with particular themes including knowledge diffusion, skills and agglomeration economies, industrial complexity and urban form. We will use a broad range of analytical tools from network science to machine learning.
Network modelling of the UK’s urban skill base
The UK Government is encouraging cities to prepare for the economy of the future through, amongst other things, investing in skills. Policy makers, however, face a ‘data deficit’ on skills, which impedes strategic planning and decision-making. Through a novel data modelling approach, a new project is aiming to shed light on the industrial diversification potential of UK cities from a skills-based perspective. This project received funding from the Turing-HSBC-ONS Economic Data Science Awards 2018.
My research lies at the intersection of a number of fields including urban systems, economic complexity and economic geography, development, and network science.
- Samuel Heroy
- Daniel Straulino
- Rafael Prieto Curiel
- Mattie Landman
- Sanna Ojanpera [online labour and development]
- Nils Rochowicz [technological progress]
- Francesca Froy [UCL, urban agglomeration]
- Francois Hulot [urban agglomeration]
- Steffan Ridderbusch [labour networks]
- Ioan Alexandru Puiu
- Yufei Zeng
- Zhe Wang
- Haoting Zhang [green diversification paths]
Urban systems, and economic complexity, geography and development
Ojanpera S, O’Clery N & Graham M (2018) Data science, artificial intelligence and the futures of work. Alan Turing Institute.
Diodato D, Neffke F & O’Clery N (2018) Why do industries coagglomerate? How Marshallian externalities differ by industry and have evolved over time. Journal of Urban Economics 106 (1-26).
O’Clery N, Yildirim M & Hausmann R (2016) Productive Ecosystems and the Arrow of Development. ArXiv:1807.03374.
O’Clery N, Gomez A & Lora E (2016) The Path to Labour Formality: Urban Agglomeration and the Emergence of Complex Industries. Center for International Development Working Paper.
O’Clery N & Lora E (2016) City size, distance and formal employment creation. Development Bank of Latin America (CAF) Working Paper.
O’Clery N (2015) A Tale of Two Clusters: The Evolution of Ireland’s Economic Complexity since 1995. Journal of the Statistical and Social Inquiry Society of Ireland, One Hundred and Sixty-Eight Session.
O’Clery N, Yuan Y, Stan G-B, Barahona M (2018) Global Network Prediction from Local Node Dynamics. ArXiv:1809.00409.
Schaub M, O’Clery N, Billeh Y, Delvenne J-C, Lambiotte R & Barahona M (2016) Graph partitions and cluster synchronization in networks of oscillators. Chaos 2016;26 (9).
O’Clery N, Yuan Y, Stan G-B & Barahona M (2013) Observability and coarse graining of consensus dynamics through the external equitable partition. Physical Review E. 2013;88 (4).
O’Clery N (2013) Node Dynamics on Graphs Dynamical Heterogeneity in Consensus, Synchronisation and Final Value Approximation for Complex Networks. PhD Thesis, Imperial College London.
Tackling global challenges, one issue at a time. From energy and the environment to economics, development and global health, Angle focuses on the intersection of science, policy and politics in an evolving and complex world.