I am a senior research fellow at the Department of Economics of University College London and at The Alan Turing Institute. I enjoy studying problems that involve economic behavior and institutions. Currently, I am working on topics related to firm-labor dynamics, political behavior, economic development and inequality. My main interest lies in building models with explicit social mechanisms that can be used to inform policy. Usually, this involves computational simulations of multi-agent systems, complex networks and analysis of big data. My aim is to advance the computational social sciences and make them an integral part of the toolbox of every social scientist.
Víctor L. Urquidi Prize in Economics
I am grateful to the outstanding Mexican social science and humanities research institute El Colegio de México for awarding me the Víctor L. Urquidi Economics Prize. Together with Professor Gonzalo Castañeda, I combine agent-based modelling, network science and behavioural economics to estimate government policy priorities. The latter has been identified as a challenging problem in Development Economics literature because, on one hand, development goals are multi-dimensional and, on the other, the policies to achieve them are not independent of each other. Find more in our latest pre-print.
Paid Summer Internships for PhD Students
Uncovering Hidden Cooperation in Democratic Institutions
- Applicants must currently be studying for a PhD at a university within the UK.
- Applicants must be eligible to work in the UK and be available for the duration of the internship project.
Further information about the Turing’s internship programme and the application process can be found here: http://bit.ly/2CaxMKQ.
The goal of the internship is generalising the method of Vote-Trading Networks (http://bit.ly/2CCcU02), previously developed to study hidden cooperation in the US Congress, to a wider set of democratic institutions, developing a research programme in the measurement and characterisation of hidden cooperation on a large scale.
- Introduction to vote trading in democratic institutions, its societal relevance, evidence, measurements and challenges.
- Introduction to web scraping and text mining.
- Tutorial on network science.
- Tutorial on stochastic and agent-based models.
- Tutorial on the Vote-Trading Networks framework.