Postcode Postcard

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a website and mobile app to view geospatial data visualizations in cities, with ability to create and send custom and artistic postcards

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Postcode Postcard

  1. 1. Postcode Postcardeam Jalan Besar Yuta Nakayama Debbie Ding
  2. 2. What is the Postcode Postcard? The Postcode Postcard is a web-based service that aims to visualize the local mobile network data and other datasets in Singapore, and to render this into a physical postcard that can be printed, and sent to someone offline.
  3. 3. Mission statement/value propositionData is all around us, but we cannot see it. But what if the invisible networks in our city could be made visible to everyone, even those who are offline?
  4. 4. WebsitePrototype Website: http://postcode.dreamsyntax.org
  5. 5. Why do we want people to look at a visualisation of mobile data?How does this improve Singapore?
  6. 6. Why data visualisation? Metaphor for Smart Cities We have chosen the Singtel and Buuuk Datasetbecause it shows the true extent of mobile usagein Singapore. Mobile networks can be considered one of the most representative features of smart cities – which must have good urban infrastructure and mobile networks.
  7. 7. Why data visualisation? Curiosity Most people are not aware that their mobile usage leaves behind digital traces, and where others are also connecting to the network. We would like to make the abstract visible - to show something that people would not normally see.
  8. 8. Why data visualisation? Education Visualisations can be used in the drive to educate more people on Big Data, Data Privacy, Data Disclosure, and other issues relating to the digital data. It can be used as a starting point to teach students, and it can also be distributed to the older or less tech-savvy populace.
  9. 9. Why data visualisation? Advocacy Governments and big businesses need to be given a clear message that the community can learn and benefit from transparency of data and having more opportunities to participate or collaborate together.
  10. 10. Why data visualisation? Data Analysis Data means nothing unless it can be viewed and also analysed. If it were easier to view the data and compare with other different datasets, some users might discover trends or other findings that may not have been observed before.
  11. 11. Why print it out on to a postcard?Isn’t that… counter-intuitive?
  12. 12. Why print postcards? Do It Yourself We facilitate the hands-on process of generating their own postcode postcards because we like the idea of people being able to personally make the card in their own homes, and then sending itto a loved one or friend – in an age of information overload and social media excess.
  13. 13. Why print postcards? Physical/Tactile The mode of distribution must be physical. The goal is for this postcard to also reach the people who are offline and less tech-savvy. They are also entitled to know that a lot of invisible data is constantly moving through and also residing in their cities.
  14. 14. User Journey
  15. 15. Step 1The visitor encounters the qrcode at a booth or location.
  16. 16. Step 2 The visitor is brought to a page where the postcard is laid out and can be printed out. Detailed printing instructions will be included.
  17. 17. Step 2 – Sample PostcardThe visitor is brought to a website that shows thema visualisation of data around their location.The postcard may be printed onsite (at a simple booth)or at home.
  18. 18. Step 3 – Printed PostcardThe Postcode Postcard can be used and mailed.
  19. 19. What’s Next?
  20. 20. Next StepsWhat are the possible extensions of this project?•3D Model/Visualisations•3D Printing of the visualised data•Workshops on how to use opensource data andprograms to make visualisations•Collaboration with community centres, communityoutreach events, statutory boards, places of interest tocreate Postcode Postcard Booths.
  21. 21. Next StepsWhat needs to happen to make this project areality?•Longer Development time to develop the prototypeand explore the inclusion of more datasets.•Datasets still being available, and longer time to viewdata, to analyse them intelligently, and to findinteresting or unexpectedly complimentarycombinations of datasets.
  22. 22. Credits & ContactsData sets used:SingTel, buUukTeam leadName: Debbie DingNumber: 97225005Email: 04.48am@gmail.comTeam members:Yuka NakayamaEmail: nkymut@gmail.com

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