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MANIFEST DATA
S-1 SPECULATIVE SENSATION LAB
@DukeDSS
#manifestdata
Manifest Data
S-1 Speculative Sensation Lab
digital metabolism
Q1: Does the digital have its own metabolism?
Q2: How is the digital’s metabolism implicated in the
anthroposphere?
...and how is the human implicated in the
digital’s metabolism?
A*: Manifest Data
3643412 390957252 1393792700
5482373 1393794034 390957408
4021600 1393794120 390957408
1393787270 4177568 2565640664
221532779 3945633 1393787013
4228308 1393786459 288264837
3749256 390957214 1393882614
3208417 2300639075 1393793411
3901178 1164802702 1393882195
1393795606 390957214 4372426
2300639075 1393883255 4378005
1393786523 3523305 2550563527
3935210 926565313 1393786226
903076338 1393789889 3943366
3604324 1393789872 625202965
1393790342 487844479 4377107
3436729 1393791852 390957214
1393790369 241582395 3316732
1393882337 4062837 390957253
4668808 1393884046 390957126
1393791992 463321113 3571500
1393792400 2702989003 3735264
1200212687 1393789459 4665747
3309877 390957253 1393794591
2565640665 1393791864 3593069
1393793712 4957642 2437802902
3419422 1900575163 1393795634
390957408 1393793964 5489420
390957214 1393883007 3361110
code manifest
https://bitbucket.org/swibble/manifest-data/src
● DMG installer for Macs
● Installation instructions for Linux
● Windows -- sorry, you are left out. :-(
collecting data
problem 1: how can we access information that
approximates what digital services like google
and facebook know about us?
● data on these platforms is proprietary and access to
information about yourself is highly limited.
● solution: capture data locally as it passes from your
computer to remote services.
tcpflow
network analysis tool that captures the content
and metadata associated with every networking
call.
● like the NSA, we favored a “collect it all” approach
● contents of webpages, emails, images, etc are all
collected into the designated folder.
parsing the information
problem 2: how do we turn all of this
information into something visually meaningful?
● some of this information is legible, while some is
encrypted. just looking at content will be very limited.
● solution: utilize metadata of networking connections
simply because that’s easiest to work with and it
remains unencrypted.
parsing the information
Filenames .xyz model format 3-D Model
parsing the information
1411917646T071.065.197.000.52814-064.233.171.125.05222
Unix Timestamp
Origin IP Address
Origin Port
Destination IP
Address
Destination Port
parsing the information
1411917646T071.065.197.000.52814-064.233.171.125.05222
1411917646 1345 12300492
Timestamp | Orig IP / Orig Port | Dest IP / Dest Port
Randomize Columns
1345 12300492 1411917646
parsing the information
● Use MeshLab to turn
xyz coordinate system
into a point cloud.
● Create mesh by
connecting all the
points.
● 3-D print the mesh
parsing the information (alt)
● Geolocate IP
addresses to
generate a
Google map of
network
connections.
● http://tinyurl.com/oknjzm8
3d printing
data gnomes
data gnomes
data gnomes
data gnomes
data gnomes
manifest data // manifest destiny
John Gast’s American
Progress (1872).
“A project home page concretizes an abstract homesteading in the
space of possible programs by expressing it as `home' territory in
the more spatially-organized realm of the World Wide Web.”
- Eric Steven Raymond, “Homesteading the Noosphere”
(2000)
Manifest Data intervenes on a much more
quotidian and non-conscious type of
homesteading: a second-order homesteading
of the data created during the first-order
activity.
“By giving users access to their platforms,
Facebook and Twitter” provide “access to a
particular means of communication whose use
serves their own profit interests” (89).
- Christian Fuchs, Digital Labor and Karl Marx
(2014)
a white man’s burden?
www.s-1lab.org
@DukeDSS
#manifestdata
Next Up: Norman Sandridge (Jan 28)
Hannah Jacobs (Feb 4)
sites.duke.edu/digital
@DukeDSS

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Manifest Data S-1 Speculative Sensation Lab Duke Digital Studio Presentation Jan 21, 2015

  • 1. MANIFEST DATA S-1 SPECULATIVE SENSATION LAB @DukeDSS #manifestdata
  • 3. digital metabolism Q1: Does the digital have its own metabolism? Q2: How is the digital’s metabolism implicated in the anthroposphere? ...and how is the human implicated in the digital’s metabolism? A*: Manifest Data
  • 4. 3643412 390957252 1393792700 5482373 1393794034 390957408 4021600 1393794120 390957408 1393787270 4177568 2565640664 221532779 3945633 1393787013 4228308 1393786459 288264837 3749256 390957214 1393882614 3208417 2300639075 1393793411 3901178 1164802702 1393882195 1393795606 390957214 4372426 2300639075 1393883255 4378005 1393786523 3523305 2550563527 3935210 926565313 1393786226 903076338 1393789889 3943366 3604324 1393789872 625202965 1393790342 487844479 4377107 3436729 1393791852 390957214 1393790369 241582395 3316732 1393882337 4062837 390957253 4668808 1393884046 390957126 1393791992 463321113 3571500 1393792400 2702989003 3735264 1200212687 1393789459 4665747 3309877 390957253 1393794591 2565640665 1393791864 3593069 1393793712 4957642 2437802902 3419422 1900575163 1393795634 390957408 1393793964 5489420 390957214 1393883007 3361110
  • 5. code manifest https://bitbucket.org/swibble/manifest-data/src ● DMG installer for Macs ● Installation instructions for Linux ● Windows -- sorry, you are left out. :-(
  • 6. collecting data problem 1: how can we access information that approximates what digital services like google and facebook know about us? ● data on these platforms is proprietary and access to information about yourself is highly limited. ● solution: capture data locally as it passes from your computer to remote services.
  • 7. tcpflow network analysis tool that captures the content and metadata associated with every networking call. ● like the NSA, we favored a “collect it all” approach ● contents of webpages, emails, images, etc are all collected into the designated folder.
  • 8. parsing the information problem 2: how do we turn all of this information into something visually meaningful? ● some of this information is legible, while some is encrypted. just looking at content will be very limited. ● solution: utilize metadata of networking connections simply because that’s easiest to work with and it remains unencrypted.
  • 9. parsing the information Filenames .xyz model format 3-D Model
  • 10. parsing the information 1411917646T071.065.197.000.52814-064.233.171.125.05222 Unix Timestamp Origin IP Address Origin Port Destination IP Address Destination Port
  • 11. parsing the information 1411917646T071.065.197.000.52814-064.233.171.125.05222 1411917646 1345 12300492 Timestamp | Orig IP / Orig Port | Dest IP / Dest Port Randomize Columns 1345 12300492 1411917646
  • 12. parsing the information ● Use MeshLab to turn xyz coordinate system into a point cloud. ● Create mesh by connecting all the points. ● 3-D print the mesh
  • 13. parsing the information (alt) ● Geolocate IP addresses to generate a Google map of network connections. ● http://tinyurl.com/oknjzm8
  • 20.
  • 21. manifest data // manifest destiny John Gast’s American Progress (1872).
  • 22. “A project home page concretizes an abstract homesteading in the space of possible programs by expressing it as `home' territory in the more spatially-organized realm of the World Wide Web.” - Eric Steven Raymond, “Homesteading the Noosphere” (2000)
  • 23. Manifest Data intervenes on a much more quotidian and non-conscious type of homesteading: a second-order homesteading of the data created during the first-order activity.
  • 24. “By giving users access to their platforms, Facebook and Twitter” provide “access to a particular means of communication whose use serves their own profit interests” (89). - Christian Fuchs, Digital Labor and Karl Marx (2014)
  • 25. a white man’s burden?
  • 27. Next Up: Norman Sandridge (Jan 28) Hannah Jacobs (Feb 4) sites.duke.edu/digital @DukeDSS