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Tom Saunders, Senior Researcher, Nesta
Local Digital Futures conference, June 2015
Investments
Research & Analysis
Innovation Skills
Innovation Lab
• Issues with ‘top down’ IoT deployment
• Alternatives: collaborative technologies
• How to make this work
Smart city vision today
Four issues with IoT and
cities
Over reliance on technology and
data
Lack of integration with other
work in cities
Little evidence that IoT leads to
return on investment
No role for people
Another way: using collaborative
technologies to engage with
citizens
Crowdsourcing
Collective
intelligence
The
collaborative
economy
Crowdsourcing: Smarter ways
to collect data
Collective intelligence: Smarter
ways to make decisions
“Statistical data on noise pollution or crime
cannot express how people feel about these
conflicts or how suggested solutions fit into
their cultural traditions.”
György Enyedi
Human centred smart cities combine digital
social innovation (bottom up approaches)
with local government efforts to engage, en
The collaborative economy:
Smarter ways to use resources
P2P car rental Car pooling
Four recommendations
Take human behaviour as seriously
as technology
Use, generate and share evidence
Invest in smart people alongside
smart technologies
Set up a civic
innovation lab to
drive innovation in
collaborative
technologies
Thank you
www.nesta.org.uk
tom.saunders@nesta.org.uk
@tom_saunders

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Rethinking Smart Cities from the Ground Up | Tom Saunders | June 2015

Editor's Notes

  1. An independent not-for-profit funded by an endowment Mission to help people and organisations bring great ideas to life
  2. Smart city visions from the past
  3. The reality of those visions: Masdar today – 100 residents, not a functioning city, utopian vision in the deserth
  4. Smart city visions today This earlier utopian vision was driven by corporations, with little thought about what all this tech might be needed for. Today, corporations offer a more grounded (though not by much) vision of the smart city. This involves the use of data and technology in existing cities to improve city management – making it more efficient, improving decision making, so that a city can better meet the challenges of transport, energy use, waste collection etc. Tools: data collection (sensors, internet of things), data visualisation and analystics (dashboards etc) and smart (often automated) infrastructure (smart street lights etc). At the centre of these visions is often a command and control centre, where scientists in white coats manage a city scientifically.
  5. Image Petajakarta, crowdsourced flood mapping in Jakarta
  6. Participatory budgeting in Paris