The potential of a ‘data-driven life’, together with the realization of Weiser’s vision of ‘the disappearing computer’ have been embraced by many. However, the increasing invisibility, virtuality and complexity of data systems also come with a variety of concerns, such as issues of sensemaking, ownership, representation and control. Although data and technology is all around us, its virtual and invisible nature, thereby its lack of material and tangible forms has implications on the way data systems are (mis) used, understood, experienced and perceived. This paper presents craft-based approaches for physical sense making –widely ranging from physical artefacts to show and hide from monitoring, to crafting data physicalizations for critical thinking, communication and creativity. In doing so, this paper discusses how crafting physical forms can be used as a way to grasp and understand ‘invisible’ data systems.
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Introduction: The contemporary scientific literature indicates that numeracy is a multifaceted concept. The ongoing societal and technological transformations underscore the imperative to re-evaluate the attributes characterizing a numerate individual and the strategic initiatives that policymakers should devise and implement to ensure that individuals are not marginalized from participation in public and private domains due to their lack of numeracy proficiency. Numerous empirical investigations on numeracy consistently affirm its pivotal role in enabling individuals to engage autonomously across diverse contexts within their daily lives. However, numeracy’s fundamental role has often been neglected in our societies. The present study scrutinizes the overarching challenges associated with numeracy, particularly emphasizing the challenges regarding healthcare, finance, and the critical utilization and interpretation of data awareness. Methods: A two-phase research framework was adopted to address this inquiry. A comprehensive literature review was conducted to discern the prevalent challenges regarding numeracy awareness. Subsequently, two illustrative case studies were undertaken in Slovenia and Spain to contrast and deliberate upon the insights derived from the literature review. Qualitative research methods were employed to engage in a nuanced exploration of the gathered data. Results: This empirical analysis deduced guidelines aimed at enhancing awareness and ameliorating some of these challenges. Discussion and Conclusion: We conclude that making visible the awareness that adults already have about numeracy in aspects of their lives, such as finance, health, or the use and critical interpretation of data, can give policymakers and curriculum developers clues to design effective numeracy programs to address the multifaceted challenges confronting contemporary society, both in the immediate and foreseeable future.
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The last decade has seen an increasing demand from the industrial field of computerized visual inspection. Applications rapidly become more complex and often with more demanding real time constraints. However, from 2004 onwards the clock frequency of CPUs has not increased significantly. Computer Vision applications have an increasing demand for more processing power but are limited by the performance capabilities of sequential processor architectures. The only way to get more performance using commodity hardware, like multi-core processors and graphics cards, is to go for parallel programming. This article focuses on the practical question: How can the processing time for vision algorithms be improved, by parallelization, in an economical way and execute them on multiple platforms?
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