Lecturers
Mar Canet is a videogame computer engineer and artist interested in data
visualisation. Her work seeks a creative use of technology applied to
creating experiences and new narratives. She is the co-founder of the
Derivart artistic collective (http://www.derivart.info) that focuses on
the intersection between art, technology and finances.
Jaume Nualart graduated in Science (Chemistry) and is an open software
programmer. He has worked as a researcher at the Ludwig Boltzmann
Institute (Linz, Austria) on developing visualization tools for the Ars
Electronica archive and with the Tápies Foundation as part of the “Arts
combinatòries” to create ontologies and access interfaces to its digital
archives.
Send your details to produkzioa@arteleku.tabakalera.eu
Participants: Maximum 12
Tuesday 10 January
11:00 Welcome, breakfast, introduction to Tresnak::Tools
12:00 - 14:00 Talk by Mar Canet on data visualization
14:00 - 16:00 Install Lunch*
16:00 - 20:00 Work session with Mar Canet
Wednesday 11 January
12:00 - 14:00 Talk by Jaume Nualart on data visualization
14:00 - 16:00 Open code salad*
16:00 - 20:00 Work session with Jaume Nualart
N.B.
-Attending the morning sessions is not compulsory but is recommended.
-Each participant should bring their own laptop.
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ene 10, 2012
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ene 11, 2012
tresnak::tools{04 data visualitation
Date: 10 and 11 January
Place: Cristina Enea Foundation
The Tresnak::Tools workshops are introductory sessions on how to approach the new technologies for their subsequent application in the creative and artistic arena. These workshops will provide brief introductions to different software and hardware tools: each session is an approach to a specific technology, which is ideal for those people without prior knowledge. This workshop aims to be an introduction to information design and data visualization. Data visualization is a transversal discipline that uses visual language (mainly images) to help to understand the relations between meaning, cause and dependency that can be found between the large abstract data masses generated by the social, scientific and natural processes. In practical terms, we will consider the design of different visualisations that shed light on the natural processes that occur in an ecosystem: we will specifically work using the data obtained from sensorization of a vegetable garden. 
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