Epistemological relativism in tourism studies has been conceivably paralyzed by the concept of a, or, the "paradigm." In this review article, Platenkamp metaphorically identifies these paradigms with the islands that Odysseus visited (all those centuries ago) during his well-recorded journey to Ithaca. In this context, therefore, Ithaca is changed (by Platenkamp) from being just an idyllic Greek homeland into a contemporary, hybridized world like-in our time-of the multilayered network society in Africa of the capital of Ghana, Kumasi. The basic question for Platenkamp, then, is that of how tourism studies researchers can (or ought?) leave their safe islands (i.e., their paradigms) and organize their own paradigm dialog (after Guba) with others around them on their uncertain and risky voyage to Kumasi. In an attempt to clarify this vital kind of dialog, Platenkamp introduces Said's principles of reception and resistance, but also focuses on the distinction between different modes of "knowledge production" that have been introduced into the social sciences since the 1990s. In this light, to Platenkamp, the uncertainty of this ongoing/unending epistemological quest remains crucial: to him, all (almost all?) believers in a, or any, paradigm within tourism studies are unhealthily "overimmunized" by the tall claims and the perhaps undersuspected strategies of the particular "paradigm" they follow. (Abstract by the Reviews Editor).
MULTIFILE
Panarchy is the paradigm of transition and change. Panarchy is the paradigm where small actions can have major effects for better or worse. It is to expect the unexpected. Panarchy holds the promise of positively changing the Anthropocene. By being prepared we can anticipate upon unexpected emerging phenomena which can be used as leverage for creating change.rue change is by transformative learning which transforms our sets of assumptions and expectations, our frames of reference (mindsets, habits of mind and meaning perspectives) Art&Design, artists, designers and philosophers are, by there very nature, capable of changing our frames of reference and thereby create opportunities for true change and adaptation.
This paper proposes an epistemological transition based on Edgar Morin's complexity paradigm to analyse authenticity in a complex tourism environment, avoiding fragmentation, and integrating relevant actors and relationships. The results show that storytelling is an important element of these tourism experiences, legitimising and unifying the authenticity of the experience and relating objects, social environment and individual experiences. The size of the tour groups and the rigidity of the itinerary were important elements for constructing authenticity. Tourists, service providers and government bodies all directly or indirectly participate as co-creators, making the perception of authenticity a constant negotiation between the elements of the experience and the actors involved in it.
Climate change adaptation has influenced river management through an anticipatory governance paradigm. As such, futures and the power of knowing the future has become increasingly influential in water management. Yet, multiple future imaginaries co-exist, where some are more dominant that others. In this PhD research, I focus on deconstructing the future making process in climate change adaptation by asking ‘What river imaginaries exist and what future imaginaries dominate climate change adaptation in riverine infrastructure projects of the Meuse and Magdalena river?’. I firstly explore existing river imaginaries in a case study of the river Meuse. Secondly, I explore imaginaries as materialised in numerical models for the Meuse and Magdalena river. Thirdly, I explore the integration and negotiation of imaginaries in participatory modelling practices in the Magdalena river. Fourthly, I explore contesting and alternative imaginaries and look at how these are mobilised in climate change adaptation for the Magdalena and Meuse river. Multiple concepts stemming from Science and Technology Studies and Political Ecology will guide me to theorise the case study findings. Finally, I reflect on my own positionality in action-research which will be an iterative process of learning and unlearning while navigating between the natural and social sciences.
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.
