Fourth Seminar successfully held on 08/04/2025. The AE4RIA Research Seminar Series, a bi-weekly webinar organised by Resees, Research Laboratory AUEB and Sustainable Development Unit – ATHENA RC, hosted by Prof. Dr. Phoebe Koundouri. This series is dedicated to exploring cutting-edge, interdisciplinary research at the intersection of Economic, Social, and Natural Systems. Bringing together leading academics, each seminar aims to address pressing global challenges and provide valuable insights to guide the transition towards sustainable growth.
Date: 08 April 2025
Time: 13:00 – 14:00 EET
Format: Hybrid & In-Person at the Athens University of Economics and Business, Room A41
Topic: Consensus Group Decision Making Under Model Uncertainty with a View Towards Environmental Policy Making
Presenter: Prof. Athanasios Yannakopoulos
Abstract:
In the seminar, the paper “Consensus Group Decision Making Under Model Uncertainty with a View Towards Environmental Policy Making” (Environmental and Resource Economics, 87, 1611–1649, 2024. https://doi.org/10.1007/s10640-024-00846) will be presented. Authors: Phoebe Koundouri, Georgios I. Papayiannis, Electra Petracou, and Athanasios Yannacopoulos.
In this paper, the authors propose a consensus group decision-making scheme under model uncertainty consisting of an iterative two-stage procedure based on the concept of Fréchet barycenter. Each stage consists of two steps: the agents first update their position in the opinion metric space adopting a local barycenter characterized by the agents’ immediate interactions and then a moderator makes a proposal in terms of a global barycenter, checking for consensus at each stage. In cases of large heterogeneous groups, the procedure can be complemented by an auxiliary initial homogenization stage, consisting of a clustering procedure in opinion space, leading to large homogeneous groups for which the aforementioned procedure will be applied. The scheme is illustrated in examples motivated by environmental economics.
Access the seminar here:
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Meeting ID: 833 1643 1935
Passcode: 454407
