t17 pitch of the urbics backchannel 3

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Urban Informatics

Measuring Livability Across City Spaces

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Chris Zimmerman – Copenhagen Business School

Kjeld Hansen – IT University of Copenhagen

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*City Surveys (Mercer, Monocle, EIU)

*GEHL Architects

*The Human Scale

* Invitations to Use Space

*Opportunities to Interact with People

*5 km/hour Cities

*Anologue “Soft” Metrics

*Flow, Lingerings, Lights On, etc

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Mobile Sensors

Social Noise

Open Data

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* Social-Local-Mobile (SoLoMo) > Geolocated Hard & Soft Data

* Fine Grain

* Real-Time, Wider Scope

* Crowdsourced, Bottom-Up Construction of Publics

* Old & New Metrics:

* Lingerings & Flow, The Mobility Mix

* Wi-Fi Exposure, Photo Capture, Noise Pollution

* Social Networks

* Social Endorsements

* Language & Sentiment Analysis

* Information-Based Decision Making

* Personal Applications & Feedback Loop Opportunities

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*Mobility & Participatory Turns

*Questions of

*Access : Opening of local, public datastreams

*Channels : affecting the experience of local

surroundings

*Relevance : personal to you, near you, when

you need it

*Motivations : Homogeneity vs Heterogeneity

*Data Provenance : Signal vs Noise

*Predictive Analysis : census/polls vs online

reflections

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Movement Locations

Speed Path (GPS)

Apps

Calls/SMS

Photo Search

Linger

Usage & Activity

* Screen on/off

*Wifi availability

* Applications (Running)

* Photos

* SMS / Call Logs

* Browser searches

Comparing location and time with:

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*Public & Semi-Public Spaces

*Development of Physical / Online Publics

*Online Endorsements of the Physical Public

*Rating

*Local Tweet

*Photo Capture

*Check-in

*Harnessing the emissions – the SM byproduct

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#urbicsITU

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tweet

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2) Post with the

hashtag: #urbicsITU

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1) Follow the assigment (@urbicsITU)

3) Qualify your message with # or @ (optional)

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*Follow @urbicsITU

*Geolocation On+Enabled

*Use Hashtag : #urbicsITU

*Push-to-Twitter

*Tag #topics or @people

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urbic.tumblr.com

@roamingdata

urbic@mail.com

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