In conclusion, it is important to additionally emphasize that the numerous possibilities in these fields inevitably lead to new professional opportunities for the emerging generation – the expert professionals of the future. The ultimate goal of the project is to generate collaboration, strengthen participation and create broad visibility for the wide variety of questions concerning data visualization, thus the program emphasizes knowledge transfer through all events and the ensuing publication to obtain a comprehensive interdisciplinary overview of data visualization. The aim is to introduce and dissect questions, problems based on professional viewpoints thus creating a dialogue between presenters and event participants. The intent of this project is to explore and foreground the seldom-presented intersections and connections within the framework of the three-day Data is Beautiful events. It is interesting to note that while most of the hardware and basic software techniques used is similar in all disciplines, the motivations and outcomes are entirely different in the visualization community. Globally, new university departments, new research opportunities and new visualization curricula were established in academia – mostly on student’s demands. Data Visualization by financial experts, engineers, research scientists, (for example in astronomy, biology) has been practiced for decades, it is only in the last period however, that Data Visualization based on databases became noticeable in the Arts. Simultaneous with this process the characterization of Data Visualization requires interdisciplinary re-definition as well as clarification of the terminology towards the general public. Beyond aesthetic functions, the concepts of effectiveness, access, social innovation, transparency and usefulness are necessary claims challenging the experts who have developed visualization of databases and now utilize the available tools for professionals and the general public. IntroductionNina Czeglédy1 and Eszter Bircsák2 1 Senior Fellow, KMDI, University of Toronto, AdjunctĪssociate Professor, Concordia University, Montreal, Senior Fellow, Hungarian University of Fine ArtsĢ Freelance curator, co-founder of Kitchen Budapest, MERĭata Visualization at the intersection of Art, Science, Society, Design and Technology The fundamental aim of the Data is Beautiful project is to generate an international and national platform in partnership with Hungarian Educational Institutions and International Organizations to investigate and present data as a contemporary entity.ĭue to rapidly developing technologies and the inclusion of new concepts, innovative design techniques, the representation of novel approaches structures and working methods, data visualization offers brand new potentials, whether these are in the form of visual, sound or interactive fields. Akos Kereszturi, Henrik Hargitai and Zsófia átyás Gede.52-57.Īrt, Design, Technology Patricio Devilla.60-63. Table of contentsIntroduction.6.Participants.7.
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