0
giorgia lupichristopher goransonDepicting Perceived Cityscapesmultiple images of the city throughUser Generated Content-Oc...
Phd candidate at:Milan Politecnico,Design FacultyDensity Design Labfounder and designer at:Accuratinformation design compa...
research general aim:How emerging large-scaletemporal and geographic socialmedia data can inform the structureand social t...
Twitter   over 500 million active users as of 2012,          generating over 340 million tweets daily
TwitterDistribution ofGeographicallyReferenced Data(clusters and concentration)of the people that wantsto share their posi...
Twitterhow aggregationsis changingthorugh time,and to compareprecise placeswith area overallcontributions++to be comparedw...
Twittergroups /differencesbetween spokenlanguages use the cityin terms of temporalityand spatial distribution.
Foursquare   As of April 2012, the company reported it             had 20 million registered users.
Instagram            currently, 100 million registered users
how to make thosedata worth?how to extract some urbanknowledge out of social mediadata?
understandingdata-nature:why do people share?spontaneity?”you’re not dealing with a100% of life-logging; theterrific thing ...
social media                   metadata                  social mediaurban questions   characterization                  a...
how to make thosedata worth?selection some interesting fields ofapplication according to the natureof data                 ...
places perceptionand placesidentity:is it possible to build indicatorsof urban perception and healththrough social mediaco...
open questions, so far:(1) topology    1. Can we use social media to understand contribution patterns based on    location...
open questions, so far:(2) areas / neighborhoodidentity:       1.  Can we use social media to understand how neighborhoods...
places perceptionand placesidentity:Lynch 1961,Suttles 1973,Milgram 1977,Putnam 2000,Oldenburg 1989,Jacobs 1992,Putnam 2000,
Milan:from “neighborhood”to Local identity nucleus
Instagramfirst Experiments on NYC:is there any patternon what people take pictureof within the differentneighborhoods?     ...
Instagram #bronx related tags
Instagram #harlem related tags
Instagram #parkslope relate tags
Instagram #brooklynheights related tags
Instagramhow to read it?1) place typology                                                                  2) places view ...
PleensPleens is a tool todiscover stories, journeysand products told startingfrom the place you, oryour friends, are in wh...
(...)
giorgia lupichristopher goransonDepicting Perceived Cityscapesmultiple images of the city throughUser Generated Contentglu...
Presentation to NYC Public Health Department
Upcoming SlideShare
Loading in...5
×

Presentation to NYC Public Health Department

550

Published on

neitgh

0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
550
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
14
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Transcript of "Presentation to NYC Public Health Department"

  1. 1. giorgia lupichristopher goransonDepicting Perceived Cityscapesmultiple images of the city throughUser Generated Content-Oct 2, 2012
  2. 2. Phd candidate at:Milan Politecnico,Design FacultyDensity Design Labfounder and designer at:Accuratinformation design company in Milanvisiting researcher at:PiimParsons Institute for Information Mapping,Sept 2012 > Feb 2013
  3. 3. research general aim:How emerging large-scaletemporal and geographic socialmedia data can inform the structureand social temperature of a city?
  4. 4. Twitter over 500 million active users as of 2012, generating over 340 million tweets daily
  5. 5. TwitterDistribution ofGeographicallyReferenced Data(clusters and concentration)of the people that wantsto share their position.
  6. 6. Twitterhow aggregationsis changingthorugh time,and to compareprecise placeswith area overallcontributions++to be comparedwith popoulation(residents + city users)per area
  7. 7. Twittergroups /differencesbetween spokenlanguages use the cityin terms of temporalityand spatial distribution.
  8. 8. Foursquare As of April 2012, the company reported it had 20 million registered users.
  9. 9. Instagram currently, 100 million registered users
  10. 10. how to make thosedata worth?how to extract some urbanknowledge out of social mediadata?
  11. 11. understandingdata-nature:why do people share?spontaneity?”you’re not dealing with a100% of life-logging; theterrific thing with thosecontents it’s an interestingmapping of somethinghalf-way between reality andpeople’s aspirations“
  12. 12. social media metadata social mediaurban questions characterization and behaviors crossing and enlightening potentialities
  13. 13. how to make thosedata worth?selection some interesting fields ofapplication according to the natureof data environmental perception patterns of activities in different places areas tematizations identity of places environmental perception discovering city users the temporary city dynamicity patterns evolving through time popoulaton during special events
  14. 14. places perceptionand placesidentity:is it possible to build indicatorsof urban perception and healththrough social mediacontributions?
  15. 15. open questions, so far:(1) topology 1. Can we use social media to understand contribution patterns based on location, time and topic?  Can we build a picture of overall emotional content and / or meaning from this information? 2.  Where to people contribute data from the most?  Where are they most likely to comment on topics of policy or broad social impact to the city? 3.  Can we “map” emotions?  Does the built environment impact these emotions and how? 4.  Are there communication “dead zones”? 5.  How does seasonality and commuter patterns or tourism impact the social information being reported?
  16. 16. open questions, so far:(2) areas / neighborhoodidentity: 1.  Can we use social media to understand how neighborhoods are perceived? 2.  How flexible / overlapping are neighborhood boundaries?  3.  What typifies social media involvement at a neighborhood scale?  Why area certain neighborhoods similar or different in their useage patterns? 4.  How does seasonality influence these patterns?
  17. 17. places perceptionand placesidentity:Lynch 1961,Suttles 1973,Milgram 1977,Putnam 2000,Oldenburg 1989,Jacobs 1992,Putnam 2000,
  18. 18. Milan:from “neighborhood”to Local identity nucleus
  19. 19. Instagramfirst Experiments on NYC:is there any patternon what people take pictureof within the differentneighborhoods? [...]
  20. 20. Instagram #bronx related tags
  21. 21. Instagram #harlem related tags
  22. 22. Instagram #parkslope relate tags
  23. 23. Instagram #brooklynheights related tags
  24. 24. Instagramhow to read it?1) place typology 2) places view 5) use of filters- outside of buildings (5) use of filters *info available from API / not to be - aerial wide zoomseveral buildings (entire block or more) residential skyscraper done manually - aerial 2 or 3 blocksresidential low density houses archistar / famous buildings normal / no filters - street perspective (45°)offices / work XproII / warm saturated tones with an emphasis on - frontal at street levelold / historical aquas and greens - from the window out to the blockchurchs Earlybird / blurred colors, with an emphasis on - from the bottom to the skyshops yellow and beige - through fences and netsgarages Lomo-fi / Dreamy, ever-so-slightly blurry, with - terrace views saturated yellows and greens- inside of buildings residential / apartments shop Sutro / Sepia-like, with an emphasis on purples andlocal / bars / restaurants browns- street crossing Toaster / high exposure, with corner vignetting Brannan / Low-key, with an emphasis on grays andsidewalk 3) timestamp info greensstreet signals street art / graffici street with cars Valencia / True-to-life contrast, with slightly gray and - sunset brown overtones- natural landscapes parks - nightime lots of (crowd) / event 5 to 10rivers - zoo less than 5 singular portrait- empty areas / otherspublic squares / plaza skateparks Inkwell / Black-and-white, high-contrastbasketball fields Walden / Washed-out color with bluish overtonesothers to be listed for each one 4) presence of people Hefe / Fuzziness, with an emphasis on yellow and - yes golden tones groups Effect / harp images with a magenta-meets-purpleparkings stadium tint, framed by a distinctive film-strip-esque border self portaitingmarket abandoned yard 1977 / Gloria Gaynor-level 70s flair ... - no Lord Kelvin / Super-saturated, supremely retro- infrastructures bridges photos with a distinctive scratchy borderhighwaysunderground tracks / station
  25. 25. PleensPleens is a tool todiscover stories, journeysand products told startingfrom the place you, oryour friends, are in whenyou launch an app: whatreally matters is notgeography or proximitybut narration.Geolocalized stories mayinclude suggestions fortryouts and purchases,provided they are relatedto the narration and tothe emotional context.
  26. 26. (...)
  27. 27. giorgia lupichristopher goransonDepicting Perceived Cityscapesmultiple images of the city throughUser Generated Contentglupi161@newschool.edugornasoc@newschool.eduhttp://piim.newschool.edu/www.giorgialupi.net-Oct 2, 2012
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×