Visual Thinking (VT) is concerned with the use of visual resources (diagrams, simple drawings, short texts) to represent, organize or communicate ideas or contents. VT aims to favor the understanding of concepts to `translate' to a visual representation a content or process. Lower thinking skills to remember and understand concepts are necessary as much as higher order skills to filter, manage and spatially organize contents. VT offers us a slower, but more effective, way to learn and teachers are increasingly using VT for educational purposes in their lectures. Within the VT techniques, we have set ourselves in the so-called canvas as a template that allows to visually structuring the fundamental elements of an entity or process. As an example of use in the educational field, the PBL canvas proposed by conecta13, describes a Project Based Learning process in nine steps (key competences, learning standards, evaluation method, final product, tasks, resources, ICT tools, grouping and organization and dissemination). On the other hand, we find the need to encourage Science, Technonoloy, Engineering and Mathematics (STEM) vocations, especially in women, given the decreasing interest in these areas (Science, Mathematics, Engineering and Mathematics) considered more arid and boring by students. This makes us to face a paradoxical crossroad, since much of the jobs of the future will be linked to these fields. It is therefore necessary to bring the methodology of scientific thinking closer to the students by presenting it in accessible ways. Here we propose a canvas that provides a visual structure to represent graphically the various steps of the scientific method. These steps include the systematic observation, formulation of hypothesis, design of the experiment to prove or discard them, to finally elaborate some conclusions leading to development of a theory. The canvas is used as a visual tool to support the design to summarize the results of the scientific experiment, to cover the different steps in a schematic way either with text or graphically. An empty template is provided as well as different examples of the canvas covered with experiments that can be carried out in different pre-university educational levels. In order to let this canvas become part of the public domain it is released under the Creative Commons Attribution-Share Alike license, so that anyone can use it, copy or modify by free, with the only condition of attributing the corresponding authorship and keeping the license open.
Visual Thinking (VT) is concerned with the use of visual resources (diagrams, simple drawings, short texts) to represent, organize or communicate ideas or contents. VT aims to favor the understanding of concepts to `translate' to a visual representation a content or process. Lower thinking skills to remember and understand concepts are necessary as much as higher order skills to filter, manage and spatially organize contents. VT offers us a slower, but more effective, way to learn and teachers are increasingly using VT for educational purposes in their lectures. Within the VT techniques, we have set ourselves in the so-called canvas as a template that allows to visually structuring the fundamental elements of an entity or process. As an example of use in the educational field, the PBL canvas proposed by conecta13, describes a Project Based Learning process in nine steps (key competences, learning standards, evaluation method, final product, tasks, resources, ICT tools, grouping and organization and dissemination). On the other hand, we find the need to encourage Science, Technonoloy, Engineering and Mathematics (STEM) vocations, especially in women, given the decreasing interest in these areas (Science, Mathematics, Engineering and Mathematics) considered more arid and boring by students. This makes us to face a paradoxical crossroad, since much of the jobs of the future will be linked to these fields. It is therefore necessary to bring the methodology of scientific thinking closer to the students by presenting it in accessible ways. Here we propose a canvas that provides a visual structure to represent graphically the various steps of the scientific method. These steps include the systematic observation, formulation of hypothesis, design of the experiment to prove or discard them, to finally elaborate some conclusions leading to development of a theory. The canvas is used as a visual tool to support the design to summarize the results of the scientific experiment, to cover the different steps in a schematic way either with text or graphically. An empty template is provided as well as different examples of the canvas covered with experiments that can be carried out in different pre-university educational levels. In order to let this canvas become part of the public domain it is released under the Creative Commons Attribution-Share Alike license, so that anyone can use it, copy or modify by free, with the only condition of attributing the corresponding authorship and keeping the license open.
This manual focuses on the initial phase of a (digital) publishing process. It offers methods to critically examine the narrative structures of content and explore alternative conceptions of a publication. By raising the question of how modular publishing can be used as a way to create, edit and structure content it tries to resist a monolithic story line, and embraces multiple perspectives.
The scientific publishing industry is rapidly transitioning towards information analytics. This shift is disproportionately benefiting large companies. These can afford to deploy digital technologies like knowledge graphs that can index their contents and create advanced search engines. Small and medium publishing enterprises, instead, often lack the resources to fully embrace such digital transformations. This divide is acutely felt in the arts, humanities and social sciences. Scholars from these disciplines are largely unable to benefit from modern scientific search engines, because their publishing ecosystem is made of many specialized businesses which cannot, individually, develop comparable services. We propose to start bridging this gap by democratizing access to knowledge graphs – the technology underpinning modern scientific search engines – for small and medium publishers in the arts, humanities and social sciences. Their contents, largely made of books, already contain rich, structured information – such as references and indexes – which can be automatically mined and interlinked. We plan to develop a framework for extracting structured information and create knowledge graphs from it. We will as much as possible consolidate existing proven technologies into a single codebase, instead of reinventing the wheel. Our consortium is a collaboration of researchers in scientific information mining, Odoma, an AI consulting company, and the publisher Brill, sharing its data and expertise. Brill will be able to immediately put to use the project results to improve its internal processes and services. Furthermore, our results will be published in open source with a commercial-friendly license, in order to foster the adoption and future development of the framework by other publishers. Ultimately, our proposal is an example of industry innovation where, instead of scaling-up, we scale wide by creating a common resource which many small players can then use and expand upon.
A huge amount of data are being generated, collected, analysed and distributed in a fast pace in our daily life. This data growth requires efficient techniques for analysing and processing high volumes of data, for which preserving privacy effectively is a crucial challenge and even a key necessity, considering the recently coming into effect privacy laws (e.g., the EU General Data Protection Regulation-GDPR). Companies and organisations in their real-world applications need scalable and usable privacy preserving techniques to support them in protecting personal data. This research focuses on efficient and usable privacy preserving techniques in data processing. The research will be conducted in different directions: - Exploring state of the art techniques. - Designing and applying experiments on existing tool-sets. - Evaluating the results of the experiments based on the real-life case studies. - Improving the techniques and/or the tool to meet the requirements of the companies. The proposal will provide results for: - Education: like offering courses, lectures, students projects, solutions for privacy preservation challenges within the educational institutes. - Companies: like providing tool evaluation insights based on case studies and giving proposals for enhancing current challenges. - Research centre (i.e., Creating 010): like expanding its expertise on privacy protection technologies and publishing technical reports and papers. This research will be sustained by pursuing following up projects actively.
