- 1 Information
- 2 Assignment
- 3 Schedule
- 4 Links you might find helpful
- 5 Students
- 6 Relevant Feeds
Gestaltung von Mediensystemen
Tuesday 14.00 to 18.00
Room 2.10.080 ( room number might change in the future )
I Feel Data
Explorations in Physical Data Representation
There is so much data around us; it has always been. Some think it is overwhelming. In order to make some sense out of data, we invented information visualization. First hesitant and cautious. Maps, diagrams and pie charts that would visualize a handful of numbers. Even then we noticed things we havn t seen before. But then information visualization became more daring. Computer-based routines crunched big chunks of numbers and brought light into otherwise unreadable amounts of data. We even invented strategies for self-organizing and organic information visualizations.
But all of the time the results remaind on a sheet of paper or a computer screen. Only recently people started to conquer physical space. They milled wooden data landscapes, cut cardboard graphs, built mechatronic displays and cast informationlayers on lifeless things. Technologies became available that would enable us to break free ( interestingly these technologies acted as catalyst, rather than starting points ). Let us join into the quest for bringing data back into the physical space, the space where it belongs, the space around us.
In this course we will explore the relation between data, information and meaning. We will discuss and use technologies that empower us to transform virtual into physical. We will learn how to put all this into context, into physical context. We will end up with a project that hopefully mean something more to someone than just the numbers it is made of.
Questions you could ask yourselves
- How do we get hold of data?
- How can we turn data into information?
- How much does context matter?
- How much does production of data matter?
- What is the difference between seeing & touching pie charts?
- What is the difference between touching & smelling pie charts?
- Is information politcal?
- Is it more political when it gets a physical representation?
Keywords you should investigate further
- Edward Tufte
- Augmented Sculptures
- Data Sculptures
- Ambient Information Visualization
Technologies we will talk about later
- knitting machines
Books and Papers you might want to read
- ›DATA FLOW‹, Gestalten Verlag
- ›Organic Information Design‹, Ben Fry
- ›Processing - a programming handbook …‹, Ben Fry & Casy Reas
- ›Envisioning Information‹, Edward Tufte
- Week 01 - 13.10.2009 (42) - introduction
- Week 02 - 20.10.2009 (43)
- Week 03 - 27.10.2009 (44) - presenting an interesting data source.
- Week 04 - 03.11.2009 (45) - presenting two project ideas or an interesting project to extrapolate from.
- Week 05 - 10.11.2009 (46)
- Week 06 - 17.11.2009 (47)
- Week 07 - 24.11.2009 (48)
- Week 08 - 01.12.2009 (49)
- Week 09 - 08.12.2009 (50)
- Week 10 - 15.12.2009 (51)
- Week 11 - 05.01.2010 (01)
- Week 12 - 12.01.2010 (02)
- Week 13 - 19.01.2010 (03)
- Week 14 - 26.01.2010 (04)
- Week 15 - 02.02.2010 (05)
- Week 16 - 06.02.2010 (XX) - Hochschultage
Links you might find helpful
- Use the tag hfkbremen_i-feel-data on delicious .
- Check this tumblr feed .
- Find a Course Description as PDF here.
- Find a PDF of Refernence Projects here.
- Annkathrin Sonntag <email@example.com>
- Vladimir Radinovic <firstname.lastname@example.org>
- Luise Klein <email@example.com>
- Toni Andonova <firstname.lastname@example.org>
- Minqian Huang <email@example.com>
- KEKE <firstname.lastname@example.org>
- Usman Masoud <email@example.com>