I Am a Book. I Am a Portal to the Universe.
Particular Books (Verlag)
978-0-241-40875-9 (ISBN)
A FINANCIAL TIMES BOOK OF THE YEAR 2020
Hello. I am a book. But I'm also a portal to the universe.
I have 112 pages, measuring 20cm high and wide. I weigh 450g. And I have the power to show you the wonders of the world.
Lift me up to the sky, rest me on your lap, drop me from a height, wear me as a hat. Together, through data, we'll uncover the stories hidden in the everyday. How long is an anteater's tongue? How tiny is the DNA in your cells? How fast is gold mined? How loud is the sun? And how many stars have been born and exploded in the time you've taken to read this sentence?
Hold me in your hands and let me show you what I'm made of - and what waits for you in the corners of our awe-inspiring universe.
Stefanie Posavec is a designer and artist who uses data as a creative material. Her work has been exhibited internationally at major galleries including the Centre Pompidou, the V&A, the London Design Museum and Somerset House, and is also held in the permanent collection of the Museum of Modern Art, New York. She is the co-author (with Giorgia Lupi) of Dear Data and the visual journal Observe, Collect, Draw! Miriam Quick is a data journalist and researcher who explores novel ways of communicating information. Bylines include the BBC, The New York Times, Wired UK and Information is Beautiful. She co-creates data artworks, exhibited at the Wellcome Collection, Southbank Centre, Royal College of Physicians and internationally. Oddityviz, her award-winning project with Valentina D'Efilippo, visualizes David Bowie's song 'Space Oddity' on 12-inch records.
Erscheinungsdatum | 26.08.2020 |
---|---|
Verlagsort | London |
Sprache | englisch |
Maße | 202 x 204 mm |
Gewicht | 470 g |
Themenwelt | Kunst / Musik / Theater ► Design / Innenarchitektur / Mode |
Sachbuch/Ratgeber ► Natur / Technik | |
Kinder- / Jugendbuch ► Sachbücher ► Naturwissenschaft / Technik | |
Kinder- / Jugendbuch ► Spielen / Lernen | |
Informatik ► Datenbanken ► Data Warehouse / Data Mining | |
ISBN-10 | 0-241-40875-X / 024140875X |
ISBN-13 | 978-0-241-40875-9 / 9780241408759 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich