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SMARTERCITIESSMARTERSERVICES 2020 VISIONEightmega trends in e-governmentfor the next eightyears Jeremy Millard Senior Consultant DanishTechnologicalInstitute
The three ages of government 3) Open & participative 1) Kafka’esque 2) Bureaucratic ,[object Object]
Random
Coercive
Rules-based
Administrative
Top-down
Gov-centric
One-size-fits-all
Transparent
Responsive
Innovative
Both bottom-up & top-down
User-centric
User-driven
Participatory
Open
Personalised
Relationship- & behaviour-based
From ”e” to ”smart” government,[object Object]
1) The web becomes social and semantic It’s not the technology, stupid  4
Web 2.0 – the web has already become social Facebook accounts for 25% of all US pageviews, and 10% of all Internet visits* Users are sharing more and more Stronger integration and instant data sharing between devices and networks The social signal becomes the most important ,[object Object]
The incentive to share data becoming stronger, that users are changing the way they think about privacy* Source: http://weblogs.hitwise.com/heather-dougherty/2010/11/facebookcom_generates_nearly_1_1.html
Web 3.0 – semantic web and internet of data ,[object Object]
From html to RDF (resource description framework)
Machines as well as people can “understand”, find, evaluate and sort data thereby creating knowledge and services
Huge unexploited data reservoirs
Distributed data, seamless ‘cloud computing’
Data mining, pattern recognition, visualisation, gaming
Information, consultation, polling, voting, etc.
Greater precision on policy choices & trade-offsWhat about Web 4.0?? Contextualises data about people, places and things – e.g. data about who people are, who they know, where they have been, are now and plan to go, what they are doing, etc. Can be used automatically to assist and support people in their everyday lives…..can also be used subversively
The web becomes social and semantic For example www.trueknowledge.com & www.wolframalpha.com
2) Smash the silos and share (everything?) What’s mine is yours, and what’s yours is mine 8
Sharing (everything?) through networking ,[object Object]
For example, PAs make their data available to each other enabling them to compare and identify e.g. similar locations, user groups and/or services through analysing socio-demographics, service use, etc.
Enables each PA or group of PAs to take an evolutionary approach to learning and building good practices, what works, what doesn’t, policy modelling, etc., so only compare, rank and simulate between similar contexts and/or similar strategies,[object Object]
3) Get lost in the cloud …don’t say: ”get off of my cloud” 11
The cloud – massive cost savings ? ,[object Object]
The key part of the new strategy will be the concentration of government computing power into a series of about a dozen highly secure data centres, each costing up to £250m to build.
These will replace more than 500 presently used by central government, police forces and local authorities which are frequently run at far below their capacity because they are dedicated to one department.12
A cloud of public services ? ,[object Object]
Standardised building blocks
From scratch
Combining apps, widgets, service components normally requires programming skills – but if users could simply drag and drop them to create unique service combinations, the sky’s the limit
The necessary semantic-based SOAs are in place or under development13

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