Savin Ivan | ESCP Business School

Ivan Savin

Associate Professor of Quantitative Analytics

Department : Information & Operations Management
Campus : Madrid

Ivan Savin is an Associate Professor of Quantitative Analytics at ESCP Business School, Madrid Campus. At ESCP, Ivan teaches courses on Advanced Statistics, Machine Learning, and Innovation and Business Ideas. He also directs the Master in Management (MiM) specialization “AI and Robotics.” Ivan’s research interests include the economics of innovation, environmental economics, climate policy, complex systems, and evolutionary economics. He has published in leading field journals on 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, WIREs Climate Change), and in general journals (e.g., Nature Sustainability, Nature Communications, Proceedings of the National Academy of Sciences, PLOS One, Scientific Reports). He has authored over 75 articles in JCR-indexed international journals, many of which are ranked as Q1 and D1. Before joining ESCP, Ivan served as a postdoctoral research fellow within the ERC project EVOCLIM at ICTA-UAB, where he studied how the effectiveness, efficiency, equity, and acceptability of climate policies could be improved. In this role, he extensively worked with public and expert surveys, employing artificial intelligence to efficiently explore and classify large datasets. Prior to this, he contributed to the KIT-BETA project on general-purpose technologies, creativity, and sustainability, and was a postdoctoral researcher at Friedrich Schiller University in the Graduate College The Economics of Innovative Change. Ivan earned his PhD in 2011 from the Department of Economics at Justus Liebig University of Giessen (Chair of Econometrics, supervised by Prof. Dr. Peter Winker), focusing on applications of evolutionary optimisation to time-series and panel data econometric models. In 2017, he habilitated at KIT with a thesis titled Applications of Evolutionary Optimization and Modelling in Economics.

PUBLICATIONS

Strengths, Weaknesses and Knowledge Gaps according to a Global Survey

ENVIRONMENTAL RESEARCH LETTERS

Research and expertise

News & events

Events

Financial Institutions and Corporate Finance

04 June 2026 - 05 June 2025
07.00 am - 02.00 pm

Events

AI in Higher Education Summit 2026 – Paris, 17–18 March

17 - 18 March 2026
07.00 am - 05.20 pm

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Academic Articles

2025

Analysing content of Paris climate pledges with computational linguistics

ESCP Impact Papers

2025

From arratives to action: leveraging AI to decode and advance sustainability commitments

Academic Articles

2024

An agent-based model of cultural change for a low-carbon transition

Academic Articles

2024

New evidence on the spread in Catalonia of the invasive longhorn beetle, Xylotrechus chinensis, and the efficacy of abamectin control

Academic Articles

2024

Reviewing studies of degrowth: Are claims matched by data, methods and policy analysis?

Academic Articles

2024

Comparing advice on climate policy between academic experts and ChatGPT

Academic Articles

2024

Did COVID-19 really change our lifestyles? Evidence from transport energy consumption in Europe

Academic Articles

2024

The nexus of COVID-19 and climate change: a literature review

Academic Articles

2024

How carbon pricing affects human needs: An agent-based model analysis

Academic Articles

2024

Strengths, Weaknesses and Knowledge Gaps according to a Global Survey

Research and expertise

News & events

Events

Events