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My encounter with ‘interculturality’ was partly occasioned by the fact of being born in Belgium at a period in time where growing up with multilinguality was a matter of normality and partly by then living and working in eight countries across all continents. Working in local communities and later in academic contexts sharpened my awareness about the importance of language in the transference of knowledge and interlinguistic exchanges of knowledges. Especially knowledges pertaining to the underlying ontological and epistemological differences and shadings of meanings and that require contextual understanding of these meanings are at the core of the chapter. The regular mistranslations occurring from social science texts originally written in other-than-English languages caused original meanings to get lost in translation. Some of the consequences of such mistranslations are examined, focussing on education and possible futures in our ‘pluriverse’, especially in the present epoch where global conversations are ever more important to address our predicaments, facing ecological disaster, extinction and the potential un-liveability for humans and so many other species of the earth. Including the non-human in our relational considerations for a possible future enlarges the need for new and interculturally understandable knowledge systems and the positivist and other epistemological inclinations in the dominant West will not make this any easier considering our rather sad record during the past four centuries.

The body of literature in the field now commonly known as the “quality of working life” (QWL) has grown steadily over a period in which the industrialised nations have increasingly come to question the role and status of human beings in the modern technological environment. In recent years concern with the nature of work, its impact upon people, and their attitudes towards it, seem to have sharpened. Investigation of, and experimentation with, the qualitative aspects of working life—its ability to confer self‐fulfilment directly, for example, as opposed to being a means of acquiring goods—has gained momentum under the influence of a unique set of economic, social, political and technological factors. The outpouring of books, reports and articles from a wide variety of sources has, not surprisingly, grown apace.

The purpose of this paper is to detail a low-cost, low-maintenance publishing strategy aimed at unlocking the value of Linked Data collections held by libraries, archives and museums (LAMs).

The shortcomings of commonly used Linked Data publishing approaches are identified, and the current lack of substantial collections of Linked Data exposed by LAMs is considered. To improve on the discussed status quo, a novel approach for publishing Linked Data is proposed and demonstrated by means of an archive of DBpedia versions, which is queried in combination with other Linked Data sources.

The authors show that the approach makes publishing Linked Data archives easy and affordable, and supports distributed querying without causing untenable load on the Linked Data sources.

The proposed approach significantly lowers the barrier for publishing, maintaining, and making Linked Data collections queryable. As such, it offers the potential to substantially grow the distributed network of queryable Linked Data sources. Because the approach supports querying without causing unacceptable load on the sources, the queryable interfaces are expected to be more reliable, allowing them to become integral building blocks of robust applications that leverage distributed Linked Data sources.

The novel publishing strategy significantly lowers the technical and financial barriers that LAMs face when attempting to publish Linked Data collections. The proposed approach yields Linked Data sources that can reliably be queried, paving the way for applications that leverage distributed Linked Data sources through federated querying.

The purpose of this paper is to collect data from humans as they generate insights from the visualised results of computational fluid dynamics (CFD) scientific simulation. The authors hypothesise the behaviour of their insight errors (IEs) and proceed to quantify the IEs provided by the crowd participants. They then use the insight framework to model the behaviours of the errors. Using the crowd responses and models from the framework, they test the hypotheses and use the results to validate the framework for the speedup of CFD applications.

The authors use a randomised between-subjects experiment with blocking. CFD grid resolution is the independent variable while IE is the dependent variable. The experiment has one treatment factor with five levels. In case varying timestamps has an effect on insight variance levels, the authors block the responses by timestep. In total, 150 participants are randomly assigned to one of five groups and also randomly assigned to one of five blocks within a treatment. Participants are asked to complete a benchmark and open-ended task.

The authors find that the variances of insight and perception errors have a U-shaped relationship with grid resolution, that similar to the previously studied visualisation applications, the IE framework is valid for insights generated from CFD results and grid resolution can be used to predict the variance of IE resulting from observing CFD post-processing results.

To the best of the authors’ knowledge, no other work has measured IE variance to present it to simulation users so that they can use it as a feedback metric for selecting the ideal grid resolution when using grid resolution to speedup CFD simulation.