Jeroen Allard van Lidth de Jeude

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Jeroen Allard van Lidth de Jeude photo

Jeroen van Lidth de Jeude

Economic Networks

I joined IMT in November 2015 as a PhD student in the Economics, Management and Data Science track. I am interested in complexity science and its applications, data science, econophysics, modelling of real world systems and risk analysis. I am part of the NETWORKS research unit from Prof. Guido Caldarelli.
 
 
 
My main research topic is on the detecting structure in networks; motif analysis using canonical methods on the multilayer interbank network, and detecting core-periphery / bow-tie mesostructures. I also work on inventor dynamics during firm mergers (using patent data) with Luca Verginer, Federica Parisi and Prof. Massimo Riccaboni.  
 
Previous
I have worked with Suzy Moat and Tobias Preis (Behavioural Science Group, Warwick Business School) in the Data Science Lab on quantifying the intentions of university applicants using Google Analytics
 
I was a research fellow in the Risk Initiative and Statistical Consulting Unit in the Department of Statistics at the University of Warwick. I joined the Department of Statistics in October 2014, working with Prof. Simon French and Prof. Robert MacKay (Centre for Complexity Science) on a joint project with an industrial partner, to implement regular analyses and reports on maintenance routines for UK utility company National Grid (Electricity Transmission Asset Management Directorate).
 

Before I was a MSc student at the Centre for Complexity Science (University of Warwick), working on an optimization project with Juergen Branke (Operational Research & Management Sciences Group, Warwick Business School) and on forecasting using online behaviour with Suzy Moat and Tobias Preis (Behavioural Science Group, Warwick Business School). I have a background in applied physics at Delft University of Technology.

 

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JVLDJ, Oyebolu, Folarin B., Siganporia, Cyrus, Farid, Suzanne S., Allmendinger, Richard and Branke, Jürgen. (2017) A new lot sizing and scheduling heuristic for multi-site biopharmaceutical productionJournal of Heuristics . ISSN 1381-1231

 

"Warwick Business School research project with data scientists Tobias Preis and Suzy Moat in the behavioural sciences group to see if Google Trends data can help to predict the future number of applications we have for our courses." - The Guardian (2014)