In: Frank Gadinger, Martina Kopf, Ayşem Mert, and Christopher Smith (eds.). Political Storytelling: From Fact to Fiction (Global Dialogues 12) This essay presents a summary of important perspectives concerning the distinction between what counts as truth or fiction. As a source of inspiration, it starts with two examples found in literature – the first a classical Spanish novel and the second a collection of stories written by the leader of a social movement in Mexico. These two examples of the conflictive relations between truth and fiction, authenticity and imagination serve as a source of inspiration for the rest of this article, which shows that this issue has been a subject of intense debate in philosophy and in the philosophy of science and still presents a challenge in the 21st century. The essay states that absolute, objective truth is a myth. It describes that what counts as ‘truth’ in a particular era, is, among other things, the result of power relations. It suggests productive ways to deal with this problem in modern society, through deliberative, emancipatory processes of reflexivity (Weick 1999), participatory research and dialogue, facilitating innovation and generation of new solutions.
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Empowerment is een centraal begrip in het hedendaagse pedagogisch denken en handelen. In dit artikel wordt empowerment besproken in het licht van de positieve psychologie: een stroming in de psychologie die bestudeerd hoe het welbevinden en optimaal functioneren van mensen kan worden bevorderd.In de positieve psychologie heeft recent een paradigmaverschuiving plaatsgevonden. De interactie tussen individu en omgeving wordt niet langer begrepen in termen van causaliteit maar vanuit het narratief van complexiteit. In dit narratief wordt de interactie tussen individu en omgeving opgevat als een complex dynamisch systeem waarin er zelden sprake is vandirecte oorzaak-gevolg relaties (lineaire causaliteit). Bij het ontstaan van empowerment spelen zowel multi-causaliteit, multi-finaliteit als circulaire causaliteit een rol. Empowerment wordt in dit artikel dan ook niet beschouwd als een inherent psychisch kenmerk van een individu, maar als iets dat zich vormt op basis van iemands dagelijkse ervaringen in interactie met zijn socialeomgeving.In dit artikel onderzoeken we wat het denken vanuit het perspectief van complex dynamische systemen betekent voor de pedagogische visie op empowerment en welke gevolgen dit heeft voor interventies in de pedagogische praktijk.TREFWOORDENEmpowerment, Complexiteit, Complex Dynamische Systemen, Positieve Psychologie, Sociale interventies, Zelfregie, Eigen Kracht, AgencyABSTRACT- ENGLISHIn the Netherlands, empowerment plays a major role in the daily work of pedagogues and in social policies. Empowerment is closely related to the assumptions of positive psychology. This is a scientific approach that focuses on strengths instead of weaknesses, building the good in life instead of repairing the bad. Empowerment also is about taking control of one’s life and by doingso enhancing wellbeing. Therefore empowerment fits the concept of positive psychology.Recently there has been a paradigm shift in positive psychology where research is going beyond the individual person as the primary focus of enquiry and is looking more deeply at the groups and systems in which people are embedded: less in terms of causality and more as a narrative of complexity. In this narrative, the interaction between individuals and the environment is seen as a complex dynamic system.In this article we discuss empowerment and agency in the light of complexity and the implications for the daily work of pedagogues.
Personalization, production on-demand, and flexible manufacture facilities are growing within the European apparel sector, supported by national and regional public policy. These developments seem to embody a much waited “paradigm shift” in the fashion industry; a shift from global to local scale, from quantity to quality and from standard products to personalized services. Such values, however, are far from new, and scholars have already pointed out the similarities between emerging and pre-industrial systems of production and consumption. This article argues that in order to understand current developments in historical context, we should return to the process of industrialization of the apparel industry during the turn from the 19th to the 20th C, taking into account aspects of production as much as mediation and consumption. With this aim in mind, the article traces the rise of ready-made garments in the Netherlands and northwest Europe, and the associated decline in custom- and home-made garments in the region. Although available statistical data is insufficient to accurately map these phenomena, secondary sources suggest that both processes were not simultaneous and therefore there was not a straightforward substitution of custom- and home-made clothing by ready-mades. While availability and trade of mass-produced ready-mades was escalating since the early 19th C, it was not until mid 20th C that custom- and home-made clothing declined among the middle class. In this study, such a gap is explained by a steady increase in the amount of clothes acquired per person: an expanding culture of consumption during the period under consideration may have enabled these different systems to flourish all together. A parallelism of the findings above with current developments suggests that we should not regard emergent industrial formats as substitutionary of established ones, but as complementary. We may then reevaluate to what extent does the rise of the flexible factory enable a “revolution”, a shift from a problematic present to a contrasting and desirable future. This historical overview indicates that, on the contrary, emerging product-service-systems manufacturing personalized garments on-demand must be considered in relation to – and in coexistence with- traditional industrial models.
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The transition towards an economy of wellbeing is complex, systemic, dynamic and uncertain. Individuals and organizations struggle to connect with and embrace their changing context. They need to create a mindset for the emergence of a culture of economic well-being. This requires a paradigm shift in the way reality is constructed. This emergence begins with the mindset of each individual, starting bottom-up. A mindset of economic well-being is built using agency, freedom, and responsibility to understand personal values, the multi-identity self, the mental models, and the individual context. A culture is created by waving individual mindsets together and allowing shared values, and new stories for their joint context to emerge. It is from this place of connection with the self and the other, that individuals' intrinsic motivation to act is found to engage in the transitions towards an economy of well-being. This project explores this theoretical framework further. Businesses play a key role in the transition toward an economy of well-being; they are instrumental in generating multiple types of value and redefining growth. They are key in the creation of the resilient world needed to respond to the complex and uncertain of our era. Varta-Valorisatielab, De-Kleine-Aarde, and Het Groene Brein are frontrunner organizations that understand their impact and influence. They are making bold strategic choices to lead their organizations towards an economy of well-being. Unfortunately, they often experience resistance from stakeholders. To address this resistance, the consortium in the proposal seeks to answer the research question: How can individuals who connect with their multi-identity-self, (via personal values, mental models, and personal context) develop a mindset of well-being that enables them to better connect with their stakeholders (the other) and together address the transitional needs of their collective context for the emergence of a culture of the economy of wellbeing?
DISCO aims at fast-tracking upscaling to new generation of urban logistics and smart planning unblocking the transition to decarbonised and digital cities, delivering innovative frameworks and tools, Physical Internet (PI) inspired. To this scope, DISCO will deploy and demonstrate innovative and inclusive urban logistics and planning solutions for dynamic space re-allocation integrating urban freight at local level, within efficiently operated network-of-networks (PI) where the nodes and infrastructure are fixed and mobile based on throughput demands. Solutions are co-designed with the urban logistics community – e.g., cities, logistics service providers, retailers, real estate/public and private infrastructure owners, fleet owners, transport operators, research community, civil society - all together moving a paradigm change from sprawl to data driven, zero-emission and nearby-delivery-based models.
The bi-directional communication link with the physical system is one of the main distinguishing features of the Digital Twin paradigm. This continuous flow of data and information, along its entire life cycle, is what makes a Digital Twin a dynamic and evolving entity and not merely a high-fidelity copy. There is an increasing realisation of the importance of a well functioning digital twin in critical infrastructures, such as water networks. Configuration of water network assets, such as valves, pumps, boosters and reservoirs, must be carefully managed and the water flows rerouted, often manually, which is a slow and costly process. The state of the art water management systems assume a relatively static physical model that requires manual corrections. Any change in the network conditions or topology due to degraded control mechanisms, ongoing maintenance, or changes in the external context situation, such as a heat wave, makes the existing model diverge from the reality. Our project proposes a unique approach to real-time monitoring of the water network that can handle automated changes of the model, based on the measured discrepancy of the model with the obtained IoT sensor data. We aim at an evolutionary approach that can apply detected changes to the model and update it in real-time without the need for any additional model validation and calibration. The state of the art deep learning algorithms will be applied to create a machine-learning data-driven simulation of the water network system. Moreover, unlike most research that is focused on detection of network problems and sensor faults, we will investigate the possibility of making a step further and continue using the degraded network and malfunctioning sensors until the maintenance and repairs can take place, which can take a long time. We will create a formal model and analyse the effect on data readings of different malfunctions, to construct a mitigating mechanism that is tailor-made for each malfunction type and allows to continue using the data, albeit in a limited capacity.
