As shown by Fuglesang’s work, some sparks on specific aspects of visual communication and media design were present in the 1980s and 1990s. Notwithstanding these insights, the field of international development for a long time continued to focus on the semiotic point of view, analysing and decoding the ‘language’ of the messages transmitted, and the quest for “systematic study on the evaluation of instructional media took place in different fields. It was in thenext millennium and inspired by the field of the arts that arguments were built toconceive language and text beyond the understanding of visual literacy asopposed to a merely word-based or written language to recognize visual communication and visual languages.
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Based on his personal experience, the author aims to examine some of the key competencies that he considers essential for facilitators of group activities in arts-based environmental education (AEE). In this, participants are encouraged to enhance their sensibility to the environment through artistic approaches. A case in point is a workshop called “making a little me”. Its participants sculpt – while keeping their eyes closed – a clay version of their own seated body in miniature. When guiding such a workshop, it is of critical importance, according to the author, to encourage the participants to suspend their judgments on the art works of others. The facilitator should make every effort to provide a safe environment by practicing “holding space”.
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Studying images in social media poses specific methodological challenges, which in turn have directed scholarly attention towards the computational interpretation of visual data. When analyzing large numbers of images, both traditional content analysis as well as cultural analytics have proven valuable. However, these techniques do not take into account the circulation and contextualization of images within a socio-technical environment. As the meaning of social media images is co-created by networked publics, bound through networked practices, these visuals should be analyzed on the level of their networked contextualization. Although machine vision is increasingly adept at recognizing faces and features, its performance in grasping the meaning of social media images is limited. However, combining automated analyses of images - broken down by their compositional elements - with repurposing platform data opens up the possibility to study images in the context of their resonance within and across online discursive spaces. This paper explores the capacities of platform data - hashtag modularity and retweet counts - to complement the automated assessment of social media images; doing justice to both the visual elements of an image and the contextual elements encoded by networked publics that co-create meaning.
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The main aim of the project is to provide new research in the arts by focusing on the concept of the inter-sensorial as an essential text for the creation of art and culture. It is designed to foreground the role of the sensorium as an underpinning source for many aspects of thought and cultural heritage. This project will blend visual arts with applied arts and traditional local traditions, revealing new light on the artistic facets and customs which are usually overlooked.The extended residencies will promote transnational mobility for emerging artists, facilitating international relationships between different artistic and cultural contexts within the EU. This will promote transnational interconnectivity between artists and cultures, creating a resourceful intercultural fertilisation, endorsing cultural diversity, social inclusion and most of all, further research on the intercultural facets.Through the various side-activities to take place during the mobilities of the artists, the project aims to strengthen and develop diverse audiences by producing the necessary elements for a dialogue, illustrating interpretations of rich layers of tangible and intangible heritage and legacies of European countries related to the tradition of sensorial experiences and how they evolved around traditional customs. Furthermore, it also aims to rethink and project new and innovative ways for documenting, preserving and communicating data to different audiences.
In order to stay competitive and respond to the increasing demand for steady and predictable aircraft turnaround times, process optimization has been identified by Maintenance, Repair and Overhaul (MRO) SMEs in the aviation industry as their key element for innovation. Indeed, MRO SMEs have always been looking for options to organize their work as efficient as possible, which often resulted in applying lean business organization solutions. However, their aircraft maintenance processes stay characterized by unpredictable process times and material requirements. Lean business methodologies are unable to change this fact. This problem is often compensated by large buffers in terms of time, personnel and parts, leading to a relatively expensive and inefficient process. To tackle this problem of unpredictability, MRO SMEs want to explore the possibilities of data mining: the exploration and analysis of large quantities of their own historical maintenance data, with the meaning of discovering useful knowledge from seemingly unrelated data. Ideally, it will help predict failures in the maintenance process and thus better anticipate repair times and material requirements. With this, MRO SMEs face two challenges. First, the data they have available is often fragmented and non-transparent, while standardized data availability is a basic requirement for successful data analysis. Second, it is difficult to find meaningful patterns within these data sets because no operative system for data mining exists in the industry. This RAAK MKB project is initiated by the Aviation Academy of the Amsterdam University of Applied Sciences (Hogeschool van Amsterdan, hereinafter: HvA), in direct cooperation with the industry, to help MRO SMEs improve their maintenance process. Its main aim is to develop new knowledge of - and a method for - data mining. To do so, the current state of data presence within MRO SMEs is explored, mapped, categorized, cleaned and prepared. This will result in readable data sets that have predictive value for key elements of the maintenance process. Secondly, analysis principles are developed to interpret this data. These principles are translated into an easy-to-use data mining (IT)tool, helping MRO SMEs to predict their maintenance requirements in terms of costs and time, allowing them to adapt their maintenance process accordingly. In several case studies these products are tested and further improved. This is a resubmission of an earlier proposal dated October 2015 (3rd round) entitled ‘Data mining for MRO process optimization’ (number 2015-03-23M). We believe the merits of the proposal are substantial, and sufficient to be awarded a grant. The text of this submission is essentially unchanged from the previous proposal. Where text has been added – for clarification – this has been marked in yellow. Almost all of these new text parts are taken from our rebuttal (hoor en wederhoor), submitted in January 2016.
Within the film and theater world, special effects make-up is used to adapt the appearance of actors for visual storytelling. Currently the creation of special effects makeup is a time-consuming process which creates a lot of waste that doesn’t fit in with the goals of a sustainable industry. Combine with the trend of the digitization of the movie and theater industry which require faster and more iterative workflows, the current ways of creating special effects makeup requires changing. Within this project we would like to explore if the traditional way of working can be converted to a digital production process. Our research consists of three parts. Firstly, we would like to explore if a mobile face scanning rig can be used to create digital copies of actors, and such eliminate the need to creates molds. Secondly, we would like to see if digital sculpting can replace the traditional methods of sculpting molds, casts and prosthetics. Here we would like to compare both methods in terms of creativity and time consumption. The third part of our project will be to explore the use of 3D printing for the creation of molds and prosthetics.
