IFD:Machines in white cubes WS20 21/Sources-23Nov20

What to do with all this data?

Task 3: Following on the topic from the lecture, the task for next week is: "Make the invisible visible".

https://www.youtube.com/watch?v=DozbN1-Y6nM

https://moviebarcode.tumblr.com/

https://zerowidthjoiner.net/movie-barcode-generator

http://www.evan-roth.com/work/internet-cache-self-portrait/

https://www.theverge.com/2019/7/21/20699484/sleep-blanket-data-visualisation-seung-lee

https://phillipstearns.wordpress.com/fragmented-memory/

http://www.cysfilm.com/#/weg/

https://computervisionart.com/pieces2019/the-library-of-nonhuman-books/

https://tim-shaw.net/ring-network/

https://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization?referrer=playlist-art_from_data&language=en

https://www.ted.com/talks/aaron_koblin_visualizing_ourselves_with_crowd_sourced_data?referrer=playlist-art_from_data&language=en#t-658325

https://domesticstreamers.com/projects/

https://ars.electronica.art/futurelab/en/projects-zeitraum/

https://truth-and-beauty.net/

https://paolocirio.net/work/street-ghosts/

https://time.com/55683/street-view-and-beyond-googles-influence-on-photography/

https://www.jennyodell.com/bso.html

http://clementvalla.com/

http://www.postcards-from-google-earth.com/PfGE/la1

https://www.wareable.com/wearable-tech/best-strava-gps-drawings-2017

https://xcoax.org/#proceedings

https://observablehq.com/

https://d3js.org/

https://www.creativebloq.com/how-to/data-visualisation-with-p5js