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Agent-based Modelling and Simulation of Circular Economy Scenarios
Growing and resource-intensive material consumption patterns are considered as major drivers of global resource use and growing waste streams contributing to increasing greenhouse gas emissions (Fleurbaey et al., 2014). Recently, the Circular Economy (CE) paradigm and related practices are discussed as a key vehicle to establish more production and sustainable consumption traditions by decoupling economic output from natural resource input and environmentally harmful emissions (Ghisellini et al., 2016). While a plethora of innovative conceptual contributions describing the target state of a CE on various levels exist, the transition towards this state seems to be the much greater challenge. Fundamental questions on regulatory, economic, organizational, and technical levels remain unanswered. Acknowledging the incomprehensible complexity and convolution of the CE approach – in terms of the numerous interrelated political, social, economic, and technical factors – and the transition towards it, I deliberately call this phenomenon a “wicked problem” (Ketter et al., 2016; Rittel and Webber, 1973). Agent-based modelling and simulation (ABMS) has proven to be a suitable scientific instrument to investigate such complex, socio-technical problems (Epstein, 2011; Bonabeau, 2002). Applications of the ABMS technique to the CE problem space, however, remain notably absent. In this workshop paper, I develop an argument explaining why the ABMS technique is specifically applicable to CE scenarios and how this research trajectory can offer valuable scientific contributions to the CE research community. Considering the societal relevance of the CE ap-proach and its current challenges, on the one hand, as well as the proven methodological suitability and promising scientific benefits of ABMS, on the other, I deem this so-far neglected sustainability phenomenon important to the ABMS community – and vice versa.
Agent-based Modelling and Simulation of Circular Economy Scenarios
Growing and resource-intensive material consumption patterns are considered as major drivers of global resource use and growing waste streams contributing to increasing greenhouse gas emissions (Fleurbaey et al., 2014). Recently, the Circular Economy (CE) paradigm and related practices are discussed as a key vehicle to establish more production and sustainable consumption traditions by decoupling economic output from natural resource input and environmentally harmful emissions (Ghisellini et al., 2016). While a plethora of innovative conceptual contributions describing the target state of a CE on various levels exist, the transition towards this state seems to be the much greater challenge. Fundamental questions on regulatory, economic, organizational, and technical levels remain unanswered. Acknowledging the incomprehensible complexity and convolution of the CE approach – in terms of the numerous interrelated political, social, economic, and technical factors – and the transition towards it, I deliberately call this phenomenon a “wicked problem” (Ketter et al., 2016; Rittel and Webber, 1973). Agent-based modelling and simulation (ABMS) has proven to be a suitable scientific instrument to investigate such complex, socio-technical problems (Epstein, 2011; Bonabeau, 2002). Applications of the ABMS technique to the CE problem space, however, remain notably absent. In this workshop paper, I develop an argument explaining why the ABMS technique is specifically applicable to CE scenarios and how this research trajectory can offer valuable scientific contributions to the CE research community. Considering the societal relevance of the CE ap-proach and its current challenges, on the one hand, as well as the proven methodological suitability and promising scientific benefits of ABMS, on the other, I deem this so-far neglected sustainability phenomenon important to the ABMS community – and vice versa.
Agent-based Modelling and Simulation of Circular Economy Scenarios
Zeiss, Roman (Autor:in)
26.07.2019
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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