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New Challenges for Data Design (Paperback, Softcover reprint of the original 1st ed. 2015)
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New Challenges for Data Design (Paperback, Softcover reprint of the original 1st ed. 2015)
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The present work provides a platform for leading Data designers
whose vision and creativity help us to anticipate major changes
occurring in the Data Design field, and pre-empt the future. Each
of them strives to provide new answers to the question, “What
challenges await Data Design?” To avoid falling into too narrow a
mind-set, each works hard to elucidate the breadth of Data Design
today and to demonstrate its widespread application across a
variety of business sectors. With end users in mind,
designer-contributors bring to light the myriad of purposes for
which the field was originally intended, forging the bond even
further between Data Design and the aims and intentions of those
who contribute to it. The first seven parts of the book outline the
scope of Data Design, and presents a line-up of “viewpoints”
that highlight this discipline’s main topics, and offers an
in-depth look into practices boasting both foresight and
imagination. The eighth and final part features a series of
interviews with Data designers and artists whose methods embody
originality and marked singularity. As a result, a number
of enlightening concepts and bright ideas unfold within the
confines of this book to help dispel the thick fog around this new
and still relatively unknown discipline. A plethora of equally
eye-opening and edifying new terms, words, and key expressions also
unfurl. Informing, influencing, and inspiring are just a few of the
buzz words belonging to an initiative that is, first and foremost,
a creative one, not to mention the possibility to discern the
ever-changing and naturally complex nature of today’s datasphere.
Providing an invaluable and cutting-edge resource for
design researchers, this work is also intended for students,
professionals and practitioners involved in Data Design,
Interaction Design, Digital & Media Design, Data &
Information Visualization, Computer Science and Engineering.
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