Michael G. Miess

Background

About Michael G. Miess

Michael Gregor Miess (* 1983 in Innsbruck, Austria) has been actively researching in the fields of ecological macroeconomics, macroeconomic modelling (agent-based, stock flow consistent, and computable general equilibrium models), the transition to a zero-emission economy, as well as the nexus between financial market and the real economy including green finance. Currently, at KAUST, Michael conducts innovative research in ecological macroeconomics & biophysical-economic modelling. One of his foci will be theory building for a novel post-growth “modern economics of human-mind-nature connection”, where he plans to write papers and a book on this novel method in the next months and years. Michael's main effort will lie in the inter- and transdisciplinary integration of economics with ecology, anthropology, psychology, physics, body-centred practices, and the perennial wisdom traditions to create an (ecological-psychological) economic theory for the good life for all within planetary boundaries. Previously, at the Environment Agency Austria (EAA), Michael was involved in construction and evaluation of national environmental, climate and energy policy measures and scenarios. He was involved in the support in setting up and leading a macro and energy economic modeling team. At the Institute for Ecological Economics at WU Wien, Michael was involved in several research projects financed by the Austrian Central Bank and the Austrian Climate Research Programme (ACRP). These projects were focused on developing a novel stock-flow consistent (SFC) methodology suitable to depict scenarios of smooth transitions to a low-carbon economy in the electricity sector, and on evaluation of policy measures to foster green finance in Austria (see link to Greenfin webpage below) At IHS, Michael has participated in a leading role in the development of an innovative hybrid top-down bottom-up computable general equilibrium (CGE) model. He has coordinated and researched for a trans-national project (DEFINE, see link below) co-funded by the European Commission to analyse a large-scale shift to electromobility in Austria, Germany and Poland. Another stream of Michael's work regards the development and methodology of empirical agent based models (ABMs), conducted in cooperation the International Institute for Applied Systems Analysis (IIASA). He has participated in building an ABM for the Austrian economy incorporating a wide range of macroeconomic data sources that is able to outperform standard time series models (ARMA, VAR, DSGE models) in short- to medium-term forecasting.