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Leonardo Castro-Gonzalez

I am a Research Data Scientist with experience in Computational Social Science.

I am currently a collaborator at the AI & Arts interest group of the Alan Turing Institute. I am also currently working with the International Labour Organzation’s Chief Macroeconomist on applications of Game Theory with Network Science to understand money-saving patterns. Before that, I was a Postdoctoral Research Associate at the Public Policy Programme of the Alan Turing Institute where I work with the Computational Social Science group, the Online Safety Team and at the Shocks and Resilience project.

Keywords: Computational Social Science, Natural Language Processing, Network Science, Complexity Science, Inequalities

Turing website Computational Social Science group

You can find my different programming projects in my github website.

I am a final year PhD student in Economics at the University of Birmingham. I am currently working as a Research Assistant at the Alan Turing Institute, working at the Shock and Resilience Project with Prof. Helen Margetts and Dr. Jonathan Bright on Misinformation networks and Nodality. This position will become a postdoctoral research one once I obtain my PhD degree (expected late summer 2022 :) ). In the second quarter of 2023, I will join the Computational Social Sciences Project, working with Dr. Omar Guerrero. Previous to this, I was a Visiting Student position at the Alan Turing Institute in the Urban Analytics Programme (Oct 2019 - Sept 2021). Before starting my PhD, I did my MSc in Complex Systems Modelling at King’s College London (Distinction) and my BSc in Physics at UNAM (Mexico - 9.32/10).

Undergoing projects

Author. The illicit drug market in the UK has evolved in the past decade, giving birth to new models of drug supply like deep-web online sales and the county lines model. Combined with a declining workforce from the different polices in the UK, getting a clear snapshot of the supply routes is becoming increasingly difficult. Using open data from the government for England, the aim of this project is to understand how these new supply models evolve over time. By doing this, we aim to understand the geographic structure of the demand of illicit-drugs and project the future routes with high risk of being overtaken by illicit drug suppliers.

The database is held here.

The project was presented at the Conference in Complexity Sciences 2021 in Lyon, France. I presented the same project at the Satellite sessions of Applications of Complexity Sciences and the Computational Social Sociences. A virtual poster as also presented at the AI UK Conference 2020 Digital poster exhibition on the 2nd of June, 2020. The poster was going to be presented at the AI UK Conference (24 - 25 March, 2020) before it was postponed.

Co-authors: Prof. Ganna Pogrebna (UoB/ATI) and Prof. Weisi Guo (Cranfield/ATI)

poster_02062020

Mexicovid19

Co-founder. A website in Spanish to track and analyse the Coronavirus pandemic in Mexico. The datasets used are updated daily and published here.

The Complexity Lates

Co-organiser. The Complexity Lates are student organised events for PhD students and early career scientists to present their work in Complexity Sciences in a relaxed ambient. Past events have been hosted at The London Institute for Mathematical Sciences.

Past events:

Publications

Reports

Education in Physics

Popular science (in Spanish)

Contact