Infographics Congress 2014 Moritz Stefaner

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Mind map of the Talk of Moritz Stefaner: Selfiecity

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8  Infographics  Congress  14  

Moritz  Stefaner

Bio

selfies

Q&A

wrap-­‐up

what  are  we  taling  about

agregaAon

Moritz  Stefaner

truth  and  beauty  operator

cogni5ve  science

interessted  in  

data

analy5cal  science  +  art  =  magic

collec5ve  intelligence

brains

custom  data

visual  language

highly  interac5ve

daily  art  

expressing  data

Google  images

people  taking  photos

selfieolympics

historical

possible  for  150  years

hCp://selfiecity.net

is  there  more  to  it?

millions  of  it

funerals

plane  crash

Oscar

mirror

Subtopic

oldwhy  different  now?

interes5ng  to  inves5gate

team  of  people

meassuring  cultural  ar5fats

data  collec5on  via  instagram

basis  project

3200  selfies

video:  hCp://vimeo.com/87564095

Lev  Manovich  Book:  language  of  new  media

New  York

São  Paulo

Berlin

Bangkok

Moscow

30k  photos

20k  photos

20  k  photos

20  k  photos

20  k  photos

human  selec5on  via  Mechanical  Turk  (Amazon)

es5mate

facial  recogni5on

gender

age

fits  on  1  screen

overwhelming

each  image  is  a  world  of  iets  own

context  emerges  when  zooming  in

fractal

copyright  issues?

rely  on  facial  reconi5on  for  age?

next  project?

only  public  photo’s

no  not  at  all

mechenical  turkmul5  selfies

its  about  the  process

working  with  tags

learning  through  playful  exploraAons

having  fun  with  data

data  is  not  same  as  truth

make  the  complex  simple

data  vizualsa5on

started  with  instagram

distribu5on

is  there  something  interes5ng

food

people

on  instragram  is  not  precise

Subtopic

macroscope

tell  worlds  not  stories

new  devices  to  cope  with  complexity

complex  topics:  hard  to  photograph

a  new  kind  of  glass  to  invesAgate  humanity  &  nature

simple  facts

artefacts  alogorithms

would  facebook  use  be  different

facina5ng

4%  are  selfies

a  cityface

media

people

deal  with  photo's

differences  between  5  ci5es

age  en  gender  distribu5on

interac5ve  applica5on

new  strategies  needed  to  deal  with  large  sets  of  images

facial  recogni5on

everybody  a  mugshot

exposing  how  machines  sees  uw

generalise  face  automa5cly

so`  overlay

generalisa5on

4x  more  women  in  Moscow  take  selfies  than  man

in  Bankok  young  women  taking  selfies

demographics

pose

feartures

mood