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STREET COMPUTING:
  PROGRAM YOUR CITY


    Markus Rittenbruch, QUT
       Marcus Foth, QUT
       Stephen Viller, UQ
URBAN DATA
Government & Councils
collect access
compose share
      use
SITUATED
  PHYSICAL
USER-CENTRED
RESEARCH
CHALLENGES
www.urbaninformatics.net




                    29 June – 2 July 2011
              ct2011.urbaninformatics.net

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Street Computing IxDA

Notas do Editor

  1. Markus & Markus Research proposal How we access and interface with urban data.
  2. Small group of Japanese computer enthusiast. What we DON’T think Street computing is
  3. We are bathed in sea of data Some is readily accessible , other we can’t see yet
  4. Publicly accessible data. Not provided on proprietary websites, but through re-usable data formats. Developers are encouraged to use the data (e.g. mashup Australia). Some are static (public toilet list), but some are dynamic (NSW fire incidents)
  5. Different types of data sources: Public info & social / crowds
  6. Sensor data Open source platforms Arduino Pachube
  7. How do I find the information I need How do we access city information. How do we combine information on the fly? How do we task the city?
  8. Old-style interfaces Dedicated web-services and mobile services Serve one particular purpose Not tailored to my needs
  9. Our goal / vision
  10. 3 different layers
  11. Collecting data like things in your handbag
  12. Composing / mashing up
  13. The urban substrate, collect and mediate all sorts of data, a bit like pachube Including social data
  14. Situated - context within which a data element was captured Physical or tanbigle composition User-centred: Our user studies
  15. Own bespoke decision-support applications. Build your own!
  16. Problems in Human-Computer Interaction within the urban domain How to expose digital information to ordinary people in the physical world How to enable ordinary people to combine this information in a manner that is personally/socially meaningful to them
  17. Personal transport Distribution of urban data (councils, companies) Communities and civic sensor networks Open social standards for urban information Food consumption, lifestyle change and persuasive technologies
  18. Marcus’s part Carlo -> MIT Eyestop SAP Research? (AUSTraffic) Locatrix
  19. Urban Informatics, Marcus
  20. We are M&M / Urban Informatics. Pitch to investors, come and talk to us.