Below in chronological order our team members. Our team is slowly expanding and we welcome new people! When will you join us?!
Paul Hoekman -
Recently graduated MPhil Student at the University of
Cape Town, South Africa. Initial creator of this website while doing
research into the feasibility of undertaking an urban-scale Material
Flow Analysis in a South African context. Paul enjoys combining IT and
urban metabolism research.
Aristide Athanassiadis -
Joint-PhD student at the Université Libre
de Bruxelles (Brussels, Belgium) and University of Melbourne,
Australia. Through different research projects in Brussels and
Melbourne, he has been interested in identifying the
context-specific factors that influence urban metabolisms using a
temporal and spatial perspective.
Gabriela Fernandez -
Ph.D. candidate in Urban Planning, Design
and Policy in the Department of Architecture and Urban Studies
at Politecnico di Milano in Milan, Italy. Fernandez is
interested in urban metabolism ideologies and is undertaking a
material flow analysis of the Metropolitan City of Milan thus
identifying urban typologies and socioeconomic indicators in
the Italian urban context while promoting urban metabolism
public policy.
Rachel Spiegel
Consulting engineer within energy and environment at Hjellnes
Consult, based in Oslo, Norway. Spiegel is interested in applying systems
thinking to our urban and economic structures to integrate environmental and
social impacts.
Joao Meirelles - Phd student at HERUS / EPFL. Holds a Bsc in Water Resources
and Environmental Engineering and a Msc in Complex Systems Modeling and had
worked as a Data Scientist at the big data team for the city of Rio de Janeiro.
Meirelles is interested in applying big data analysis and complex systems
thinking to the urban metabolism.
Yves Bettignies Cari is an engineer and PhD candidate at the Building,
Architecture and Town planning department of the Ecole Polytechnique de
Bruxelles in Belgium. Yves is interested in the prediction of urban flows and
in the modelling of their relations to urban systems via computer-assisted data
analysis.