Postcode Postcard

Post on 20-May-2015

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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

Transcript of Postcode Postcard

Postcode Postcard

Yuta NakayamaDebbie Ding

Team Jalan Besar

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.

Mission statement/value proposition

Data 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?

Website

Prototype Website: http://postcode.dreamsyntax.org

Why do we want people to look at a

visualisation of mobile data?

How does this improve Singapore?

Why data visualisation?

Metaphor for Smart Cities

We have chosen the Singtel and Buuuk Dataset because it shows the true extent of mobile usage in Singapore. Mobile networks can be considered one of the most representative features of smart

cities – which must have good urban infrastructure and mobile networks.

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.

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.

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.

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.

Why print it out on to a postcard?

Isn’t that… counter-intuitive?

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 it to a loved one or friend – in an age of information

overload and social media excess.

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.

User Journey

Step 1

The visitor encounters the qrcode at a booth or location.

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.

Step 2 – Sample Postcard

The visitor is brought to a website that shows them a visualisation of data around their location.The postcard may be printed onsite (at a simple booth) or at home.

Step 3 – Printed Postcard

The Postcode Postcard can be used and mailed.

What’s Next?

Next Steps

What are the possible extensions of this project?

•3D Model/Visualisations

•3D Printing of the visualised data

•Workshops on how to use opensource data and

programs to make visualisations

•Collaboration with community centres, community

outreach events, statutory boards, places of interest to

create Postcode Postcard Booths.

Next Steps

What needs to happen to make this project a

reality?

•Longer Development time to develop the prototype

and explore the inclusion of more datasets.

•Datasets still being available, and longer time to view

data, to analyse them intelligently, and to find

interesting or unexpectedly complimentary

combinations of datasets.

Credits & Contacts

Data sets used:SingTel, buUuk

Team leadName: Debbie DingNumber: 97225005Email: 04.48am@gmail.com

Team members:Yuka NakayamaEmail: nkymut@gmail.com