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© Intersticia 2014 Government in the age of the Social Machine Information: the Currency of the Digital Economy 29th May, 2014

Government in the age of the Social Machine

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Page 1: Government in the age of the Social Machine

© Intersticia 2014

Government in the age of the Social Machine

Information: the Currency of the Digital Economy

29th May, 2014

Page 2: Government in the age of the Social Machine

© Intersticia 2014

Technology  

Culture  

Society  The  Polity  

Page 3: Government in the age of the Social Machine

© Intersticia 2014

We have moved from

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© Intersticia 2014

To …

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© Intersticia 2014

To …

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© Intersticia 2014

And are now approaching …

Page 7: Government in the age of the Social Machine

© Intersticia 2014 (http://www.baekdal.com/articles/Management/market-of-information/)

Technology, People and Networks

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© Intersticia 2014 (Siegel  -­‐  h4p://vimeo.com/11117216)  

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© Intersticia 2014

We can measure and map …

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© Intersticia 2014

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We can make something out of nothing

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Information boundaries are blurring …

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We are becoming “one” with technology

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© Intersticia 2014

The internet is connecting everything

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© Intersticia 2014

Welcome to life in the panopticon

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Psychohistory in the making …

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Everything is being driven by “data”

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© Intersticia 2014

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© Intersticia 2014

What if data were a person? What if we designed for data the

way we design for people?

Genevieve Bell

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The World Wide Web is

the largest “information construct” in human history

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© Intersticia 2014

Web Science The theory and practice of social machines

An emerging discipline which aims to understand the deeper structure of the social Web and how people are using it, not only now, but potentially in the future.

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Tim Berners Lee

Real life is, and must be, full of all kinds of social constraint – the very processes from which society arises. Computers can help if we use them to create abstract social machines on the

Web: processes in which the people do the creative work and the machine does the administration. … The stage is set

for an evolutionary growth of new social engines

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© Intersticia 2014

“Government is, at bottom, a mechanism for collective action. Government 2.0 is the use of technology … to better solve collective problems at a city, state, national, and international level.”

Tim O’Reilly

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© Intersticia 2014

Government … from rowing

(Leanne Fry, FWO)

Government  

Stakeholder  

Stakeholder  

Stakeholder  

Stakeholder   Government  

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To steering

Government  

Stakeholder  

Stakeholder  

Stakeholder  

Stakeholder  

(Leanne Fry, FWO)

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A revolution doesn’t happen when a society adopts new tools, it happens when a society adopts new

behaviours.

Clay Shirky

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The rise of the Social Machine

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© Intersticia 2014

Technology  input  

Technology  PlaDorm  

Data  Analysis  

Machine  Learning  

Human  input  

Social  Machine  

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© Intersticia 2014

Characteristics of the social machine

1.  problems are beginning to be solved by very large scale human participation via the Web;

2.  there is access to, or the ability to generate, large amounts of relevant data using open data standards;

3.  there is increasing confidence in the quality of the data; and

4.  human-computer interfaces are becoming far more intuitive and seamless.

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Early social machines

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Social  Machine   Descrip0on   Input   Human   Media0ve  

Fix  My  Street  www.fixmystreet.org  

A  website  through  which  users  can  report  potholes,  broken  street  lights  and  similar  problems  with  streets  and  roads  to  their  local  council  or  related  organisaQon,  and  see  what  reports  have  already  been  made  

NoQficaQon  of  “things  requiring  a4enQon”  Data  relaQng  to  problem  

Data  relaQng  to  problem  

Provides  geo-­‐contextualised  and  temporally  filtered  list  of  reported  incidents  and  things,  visualised  on  a  map  for  easy  consumpQon  

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Government  

Open  Data  Portals  

e-­‐Government  Web  Services  

ciQzen  fora  community  engagement  services  

Others  

The social machine “ecosystem”

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Crime mapping

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Smart cities

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Community “businesses”

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Research – SOCIAM and ANZSOG

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www.sociam.org

Objectives:

1.  Understanding - the emergence of social computing

2.  Seamless access to a Web of Data

3.  Accountability - how to make social machines accountable and to build the trust essential to their operation.

4.  Interactions – humans and machines

5.  Social Machines Observatory

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© Intersticia 2014

Building a Web Observatory

The Web Observatory

•  Brings together Web of Data and Big Data •  Is about sharing

–  Web 2.0: Sharing content –  Web of Data: Sharing applications –  Web Observatory: Sharing analytics

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Open Data Cloud!

e-Science Infrastructures!

Internet Archive!

Social Media!

Open Web Analytics!

Semantic Catalogues! Harvesting and Archival! Harmonised Access!

Harmonisation with Other Observatories!

Catalogues of Analytic and Visualisation Tools! Open Standards!

Social Innovation! Interdisciplinary!e-Science!

Novel Analysis and Visualisation Methods!

Repositories!with Authorised

Access!

Web of Observatories

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Observatory in action

•  Chinese “Salt-crisis” - from humour

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Early thoughts

•  The dynamic of “power” had changed

•  Governments are moving towards being much more open and transparent

•  Citizens are using social networks to create new businesses serving community needs

•  Privacy is now front and centre …

•  Understanding information – in ALL forms – is now a “basic” literacy

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© Intersticia 2014

Analogue   Digital  

Data  

InformaQon  

Knowledge  

Wisdom  

Literacy  

Affordances  

Experiences  

Literacy  

Affordances  

Experiences  

Quantum  

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© Intersticia 2014

Digital  Literacy  

FuncQonal  Skills  

CreaQvity  

CriQcal  thinking  and  evaluaQon  

Cultural  and  social  

understanding  

CollaboraQon  

The  ability  to  find  and  select  

informaQon  

EffecQve  communicaQon  

E-­‐safety  

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“In a time of drastic change it is the learners who inherit the future. The learned usually find themselves beautifully

equipped to live in a world that no longer exists.”

Eric Hoffer

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We are cavemen in the digital world

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Thank you

[email protected]

+61 413 626 737

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References

•  Web Science Trust – www.webscience.org •  Web Science Australia – www.webscienceaustralia.org •  SOCIAM Project – www.sociam.org •  Shoshana Zuboff – “In the Age of the Smart Machine” -

http://en.wikipedia.org/wiki/Shoshana_Zuboff •  Clay Shirky – Blog - http://shirky.com/ •  Genevieve Bell – Talk at Gov 2.0 Summit 2011

http://www.youtube.com/watch?v=Nvn_l_Vh3hw&noredirect=1

•  Sherry Turkle - http://www.transparencynow.com/turkle.htm •  Tim O’Reilly - http://oreilly.com/tim/ •  Michael Wesch - http://ksuanth.weebly.com/wesch.html •  The Machine is Us/ing Us -

http://www.youtube.com/watch?v=6gmP4nk0EOE •  Douglas Rushkoff - http://www.rushkoff.com/ •  www.intersticia.com/blog •  Pew Internet Research - http://www.pewinternet.org/

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UK & US Governments

•  Dashboards - https://www.gov.uk/performance

•  Mike Bracken’s reading list - https://gds.blog.gov.uk/2014/05/22/reading-the-digital-revolution/

•  Five years of open data - https://www.data.gov/agencies/five-years-open-data-making-difference/

•  NYC Dept Probation design of spaces - http://biber.co/architecture/civicurban?project_id=234&project_page=overview