Difference between revisions of "Data Design"

Revision as of 13:48, 17 December 2012

ability to collect, parse, sort, process data aquired by means of scrapping or by accessing preformatted sets of data.
fluency in the technology of command line, HTML5, CSS3 and Javascript.
ability to design static and dynamic data into visually engaging projects.
ability to recognize patterns and relations in data.
ability to research an issue through the data it generates, and translate it into a critical narrative.
ability to design the implication of your research

history of data design (data visualization, information design, etc) and related fields (datajournalism, quantified self, etc).
dark side of data design (privacy, ethics, etc)
Internet culture, sharing and production of knowledge on the Clearnet and Darknet
the legal aspect of data design (from licenses to open data)
Historical elements of free and open source software culture and the impact of standard copyright and contract laws on networked media
social media theory

TODO

general intro on data design with a specific example (quantified self) + assignment to track food habits.
look at the data collected and what can you conclude about your other classmates based on the data they collected + assignment keep on collecting data
look at the data, look for patterns and or singular properties + assignment draw a conclusion about data and a. either collect more data or b. formulate the pattern into a narrative to be visualised.
Google chart your data + play different types of visualisation
discuss outcomes of trying different visual methods, did you learn something new and did it change your perspective? +
theory: how to go from data to product within the food field (small critical hint towards tracking with albert heijn bonus card, show birgit PZI project) + sketch
feedback on sketches + final turn of data collected into something that is relevant to your practice, for instance a journalistic report on your food habits, an encyclopedia of week-end snacks, a ready-to-wear collection based on your food trends analysed in your group, etc.
final presentation + guests

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 TODO
+== Keuzemodules ==
+=== Quantified Selves ===
+# general intro on data design with a specific example (quantified self) + assignment to track food habits.
+# look at the data collected and what can you conclude about your other classmates based on the data they collected + assignment keep on collecting data
+# look at the data, look for patterns and or singular properties + assignment draw a conclusion about data and a. either collect more data or b. formulate the pattern into a narrative to be  visualised.
+# Google chart your data + play different types of visualisation
+# discuss outcomes of trying different visual methods, did you learn something new and did it change your perspective? +
+# theory: how to go from data to product within the food field (small critical hint towards tracking with albert heijn bonus card, show birgit PZI project) + sketch
+# feedback on sketches  + final turn of data collected into something that is relevant to your practice, for instance a journalistic report on your food habits, an encyclopedia of week-end snacks, a ready-to-wear collection based on your food trends analysed in your group, etc.
+# final presentation + guests