R. Maria del Rio-Chanona
JSMF Postdoctoral Fellow at the Complexity Science Hub Vienna
Maria is a JSMF Postdoctoral Fellow at the Complexity Science Hub Vienna. Her research draws from network science and agent-based modelling and focuses on labour economics, the future of work, green transition, and the economic impact of the Covid-19 pandemic.
Maria has a PhD in Mathematics from Oxford University, where she was part of the Complexity Economics group of the Institute for New Economic Thinking at the Oxford Martin School. She has worked alongside international policy organizations, including the International Monetary Fund and the International Labour Organisation. Before her postgraduate studies, Maria did her undergraduate studies in Physics at UNAM, Mexico.
Maria is currently collaborating with INET to develop an agent-based model of the labour market that can be integrated with other macroeconomic models.
No. 2023-28 - Employment dynamics in a rapid decarbonization of the power sector
30 Nov 23
e analyze the employ- ment dynamics of a fast transition scenario for the US electricity sector that...
The unequal effects of the health–economy trade-off during the COVID-19 pandemic
16 Nov 23
In counterfactual experiments, we show that a similar trade-off between epidemic and economic outcom...
The unequal effects of the health-economy tradeoff during the COVID-19 pandemic
13 Dec 22
The potential tradeoff between health outcomes and economic impact has been a major challenge to pol...
Forecasting the propagation of pandemic shocks with a dynamic input-output model
28 Sep 22
We introduce a dynamic disequilibrium input-output model that was used to forecast the economics of ...
No. 2021-18 - In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model
22 Feb 21
Economic shocks due to Covid-19 were exceptional in their severity, suddenness and heterogeneity acr...
Occupational mobility and automation: a data-driven network model
21 Jan 21
In this article, we develop a data-driven model to analyse how workers move through an empirically d...
The multiplex nature of global financial contagions
30 Oct 20
As illustrated by the 2008 global financial crisis, the financial distress of one country can trigge...
Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective
04 Sep 20
Production networks and epidemic spreading: Re-opening the UK economy
07 Jun 20
This column reports several re-opening scenarios for the UK economy, documenting their projected imp...
No. 2020-12 - Production networks and epidemic spreading: How to restart the UK economy?
21 May 20
We analyse the economics and epidemiology of different scenarios for a phased restart of the UK econ...
Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective
17 Apr 20
We provide quantitative predictions of first order supply and demand shocks for the U.S. economy ass...
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...