While educators teach their students about decision making in complex environments, managers have to deal with the complexity of large projects on a daily basis. To make better decisions it is assumed, that the latter would benefit from better understanding of complex phenomena, as do students as the professionals of the future. The goal of this article is to evaluate the relevance of the use of simulation games for learning about the complexity of large-scale socio-technical projects. Relevant concepts from complex adaptive systems will be introduced or described. The conjecture is that complex adaptive systems can be simulated by games, in which players are able to experience the system workings, and retrieve more insight in their complex behaviour as a result. The multiplayer computer game SimPort-MV2 illustrates this by simulating the decision making process revolving around Maasvlakte 2 (MV2), an extension of the Port of Rotterdam into the North Sea. The game has been played by hundreds of students of higher education. Based on this study, we present preliminary indications of learning and conclusions on how simulation games can provide insights in a complex adaptive system and be used to educate both students and professionals.
Societal actors across scales and geographies increasingly demand visual applications of systems thinking – the process of understanding and changing the reality of a system by considering its whole set of interdependencies – to address complex problems affecting food and agriculture. Yet, despite the wide offer of systems mapping tools, there is still little guidance for managers, policy-makers, civil society and changemakers in food and agriculture on how to choose, combine and use these tools on the basis of a sufficiently deep understanding of socio-ecological systems. Unfortunately, actors seeking to address complex problems with inadequate understandings of systems often have limited influence on the socio-ecological systems they inhabit, and sometimes even generate unintended negative consequences. Hence, we first review, discuss and exemplify seven key features of systems that should be – but rarely have been – incorporated in strategic decisions in the agri-food sector: interdependency, level-multiplicity, dynamism, path dependency, self-organization, non-linearity and complex causality. Second, on the basis of these features, we propose a collective process to systems mapping that grounds on the notion that the configuration of problems (i.e., how multiple issues entangle with each other) and the configuration of actors (i.e., how multiple actors relate to each other and share resources) represent two sides of the same coin. Third, we provide implications for societal actors - including decision-makers, trainers and facilitators - using systems mapping to trigger or accelerate systems change in five purposive ways: targeting multiple goals; generating ripple effects; mitigating unintended consequences; tackling systemic constraints, and collaborating with unconventional partners.
MULTIFILE
Over the last years a large growth in Electric Vehicles (EV) and charging infrastructure (CI) development has been observed. Particularly in metropolitan areas this growth has led to a system in which multitudes of interactions between EV users take place. While many researchers have focused on EV user charging behavior and deployment strategies for CI, little attention has been paid to conceptualizing the problem domain. This research provides a brief overview of complex systems theory, and derives six characterizing elements of complex systems that may be applicable for CI. The paper investigates both theoretically but also empirically how these characterizing elements apply for CI and provides implications for the further roll-out of CI for both policy makers and researchers. We illustrate our findings with preliminary results form ongoing research. Recommendations include the further development of simulation tools that are capable of exploring effects of e.g. non-linear behavior, feedback loops and emergence of new patterns on CI performance. In the end this paper aims to provide directions to enable policy makers to be better prepared for the anticipated exponential growth of EVs and CI.
MULTIFILE
The textile industry is responsible for over 8% of global greenhouse gas emissions and 20% of the world’s wastewater, surpassing the emissions from international flights and shipping combined. In the European Union, textile purchases in 2020 led to around 270 kg of CO₂ emissions per person, yet only 1% of used clothing is recycled into new garments. The municipality of Groningen manages an estimated 950 kilotons of textile waste but is only able to collect, sort, and recycle 250 kilotons. To address these challenges, Textile Hub Groningen (THG) seeks to support small and medium-sized enterprises (SMEs) and stakeholders in creating circular textile value chains. However, designing circular value chains presents challenges, including conflicting interests, knowledge gaps on circular design principles, and inadequate tools for collaborative business model development. Potential stakeholders often find current tools too abstract and not conducive to collaboration, learning, or experimentation. As a result, circular value chains remain difficult to achieve from the perspective of individual stakeholders. Serious games have been employed to simulate and experiment with complex adaptive systems , . Research shows that well-designed playful learning enhances both learning and motivation, particularly when social elements are integrated . This project aims to answer the following research question: How can serious games be leveraged to design circular textile value chains in the region? The expected outcomes are: 1. Serious Game: Design, test, and deliver a serious game to facilitate the joint design of circular textile value chains. 2. Publications: Extract insights from the game’s design and evaluation, contributing to both academic and practical discussions. 3. Consortium for Follow-up: Mobilize partners and secure funding for future projects in related fields. Through game-based collaborative circular value chain and business model design experiences, this project overcomes barriers in designing viable circular value chains in the textile industry
