Ivan Savin is an Associate Professor of Quantitative Analytics at the ESCP Business School, Madrid campus. Before joining ESCP, Ivan served as a postdoctoral research fellow within the ERC project EVOCLIM at ICTA-UAB studying how the effectiveness, efficiency, equity and acceptability of these policies can be improved. To this end, he extensively worked with public and expert surveys using skills from artificial intelligence to efficiently explore and classify large amount of data. Before that, he served within the KIT-BETA project devoted to general purpose technologies, creativity and sustainability and was a postdoc at the Friedrich Schiller University in the Graduate College «The Economics of Innovative Change».
Ivan received his PhD from the Department of Economics of the Justus Liebig University of Giessen (Chair of Econometrics, supervisor Prof. Dr. Peter Winker) in 2011 working on applications of evolutionary optimisation to time-series and panel data econometric models. In 2017 he habilitated at KIT with the thesis titled «Applications of Evolutionary Optimization and Modelling in Economics».
Ivan’s research interests include economics of innovation, environmental economics, climate policy, complex systems, and evolutionary economics. He published in top field journals in economics of innovation (e.g., Technological Forecasting and Social Change, Environmental Innovation and Societal Transitions, Journal of Technology Transfer), environmental economics (e.g., Journal of Environmental Economics and Management, Environmental and Resource Economics), climate policy studies (Climate Policy, Climatic Change and WIREs Climate Change) and general journals (e.g., Nature Sustainability, Nature Communications, Proceedings of the National Academy of Sciences, PLOS One). He published more than 75 articles in JCR-indexed, international journals, many of which are in Q1 journals.
At ESCP Ivan Savin is teaching courses on Advanced Statistics, Machine Learning, and Innovation and Business Ideas. He is also directing the Master in Management (MiM) specialization “AI and Robotics”.