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In this article, we show how postphenomenology can be used to analyze a visual method that reveals the hidden dynamics that exist between individuals within large organizations. We make use of the Affinity Map to expand the classic postphenomenology that p ...
This research focuses on emerging technologies in the European air traffic management (ATM), specifically investigating technology adoption by the main stakeholders. The European ATM consists of a highly fragmented aviation infrastructure, built and manage ...
In Environmental Impact Assessment (EIA), the either positive or negative impacts that specific N project actions might generate on a number M of environmental components are typically summarized in the form of Interaction Matrix (IM). This is an NxM tabul ...
Complex network theory describes network performance mostly based on topological characteristics, like betweenness centrality. This work integrates concepts from complex networks and traffic engineering. We propose a new measure for spatial networks and, i ...
We develop a model that successfully learns social and organizational human network structure using ambient sensing data from distributed plug load energy sensors in commercial buildings. A key goal for the design and operation of commercial buildings is t ...
Problem. In the field of sustainability, scholars and policy-makers herald the transformative power of participation in transdisciplinary (TD) research. The increasing use of TD in science policy is rooted in the expectation that involving practitioners in ...
Applications of machine learning and graph theory techniques to neuroscience have witnessed an increased interest in the last decade due to the large data availability and unprecedented technology developments. Their employment to investigate the effect of ...
In this paper, we present the results of a research project that deals with the controversial memories of historic urban landscapes that have been designated as World Heritage sites by UNESCO. We observe - through the study of social representations of Mex ...
JOHANNES KEPLER UNIV, INST PAEDAGOGIK & PSYCHOLOGIE2020
Algebraic network information theory is an emerging facet of network information theory, studying the achievable rates of random code ensembles that have algebraic structure, such as random linear codes. A distinguishing feature is that linear combinations ...
The participation of practitioners in transdisciplinary sustainability research has been heralded as a promising tool for producing ‘robust’ knowledge and engendering societal transformations. Although transdisciplinary approaches have been advanced as an ...
