R. Maria del Rio-Chanona
Mathematical Institute, University of Oxford
Maria is a Mathematics DPhil student supervised by Doyne Farmer at the University of Oxford. Before starting her PhD, Maria did her BSc in Physics at Universidad Nacional Autónoma de México (UNAM) 2011-2016, was a research intern at Imperial College London and Ryerson University and worked as a data scientists for two consulting firms (Inno-ba and Pondera). Maria’s research interests are broad. The main work of her PhD thesis focuses on developing a data-driven network model of the labour market to understand the impact of automation on employment. Additionally, Maria has worked on alternative methods to assess forecasts for renewable energy generation and has studied shock propagation in networks. In particular, Maria was a research intern at the International Monetary Fund, where she studied global financial contagion in multilayer network. In general, Maria’s research focuses on complexity economics, networks and shock propagation, agent-based models, and the future of work.
Automation and occupational mobility: A data-driven network model
17 Jun 19
Based on empirical data we construct an occupational mobility network where nodes are occupations an...
Evolution of the Global Financial Network and Contagion: A New Approach
15 May 19
This paper studies the interconnectedness of the global financial system and its susceptibility to s...
What you do at work matters: New lenses on labour
19 Mar 18
This paper investigates the network structure of the division of labour by analysing discrete work a...
ABCE: A Python Library for Economic Agent-Based Modeling
03 Sep 17
ABCE is an agent-based modeling library for Python that is specifically tailored for economic phenom...