[permaculture] Towards a Global Participatory Platform – Democratising Open Data, Complexity Science and Collective intelligence | Learning Change

Lawrence London lfljvenaura at gmail.com
Fri Apr 25 13:27:50 EDT 2014


Towards a Global Participatory Platform – Democratising Open Data,
Complexity Science and Collective intelligence | Learning Change
http://gfbertini.wordpress.com/2014/04/23/towards-a-global-participatory-platform-democratising-open-data-complexity-science-and-collective-intelligence/

Learning Change <http://gfbertini.wordpress.com/>

http://gfbertini.wordpress.com/

… for your learning: +2950 posts
Towards a Global Participatory Platform – Democratising Open Data,
Complexity Science and Collective intelligence

The *FuturICT* project seeks to use the power of *big data*, analytic
models grounded in *complexity science*, and the *collective
intelligence*they yield for societal benefit. Accordingly, this paper
argues that these
new tools should not remain the preserve of restricted government,
scientific or corporate ´elites, but be opened up for *societal engagement
and critique*. To democratise such assets as a public good, requires a
sustainable ecosystem enabling different kinds of stakeholder in society,
including, but not limited to, *citizens and advocacy groups*, *school and
university students*, policy analysts, *scientists*, software developers,
journalists and politicians. Our working name for envisioning a
sociotechnical infrastructure capable of engaging such a wide constituency
is the *Global Participatory Platform* (GPP). We consider what it means to
develop a GPP at the different levels of data, models and deliberation,
motivating a framework for different stakeholders to find their ecological
niches at different levels within the system, serving the functions of (i)
*sensing* the environment in order to pool data, (ii) *mining* the
resulting data for patterns in order to model the past/present/future, and (
iii) *sharing* and contesting possible interpretations of what those models
might mean, and in a policy context, possible decisions. A research
objective is also to apply the concepts and tools of *complexity science
and social science* to the project’s own work. We therefore conceive
the *global
participatory platform* as a resilient, epistemic ecosystem, whose design
will make it capable of  *self-organization and adaptation* to a dynamic
environment, and whose structure and contributions are themselves *networks
of stakeholders*, challenges, issues, ideas and arguments whose structure
and dynamics can be modelled and analysed.
Giorgio Bertini <https://plus.google.com/u/0/101186073394254541011>

https://plus.google.com/u/0/101186073394254541011/posts/V4zsA2rq1xU?cfem=1
The FuturICT project seeks to use the power of big data, analytic models
grounded in complexity science, and the collective intelligence they yield
for societal benefit. Accordingly, this paper argues that these new tools
should not remain the preserve of restricted government, scientific or
corporate ´elites, but be opened up for societal engagement and critique.
To democratise such assets as a public good, requires a sustainable
ecosystem enabling different kinds of stakeholder in society, including,
but not limited to, citizens and advocacy groups, school and university
students, policy analysts, scientists, software developers, journalists and
politicians. Our working name for envisioning a sociotechnical
infrastructure capable of engaging such a wide constituency is the Global
Participatory Platform (GPP). We consider what it means to develop a GPP at
the different levels of data, models and deliberation, motivating a
framework for different stakeholders to find their ecological niches at
different levels within the system, serving the functions of (i) sensing
the environment in order to pool data, () mining the resulting data for
patterns in order to model the past/present/future, and () sharing and
contesting possible interpretations of what those models might mean, and in
a policy context, possible decisions. A research objective is also to apply
the concepts and tools of complexity science and social science to the
project’s own work. We therefore conceive the global participatory platform
as a resilient, epistemic ecosystem, whose design will make it capable of
self-organization and adaptation to a dynamic environment, and whose
structure and contributions are themselves networks of stakeholders,
challenges, issues, ideas and arguments whose structure and dynamics can be
modelled and analysed.
Towards a Global Participatory Platform - Democratising Open Data,
Complexity Science and Collective
intelligence<http://gfbertini.wordpress.com/2014/04/23/towards-a-global-participatory-platform-democratising-open-data-complexity-science-and-collective-intelligence/>
gfbertini.wordpress.com<http://gfbertini.wordpress.com/2014/04/23/towards-a-global-participatory-platform-democratising-open-data-complexity-science-and-collective-intelligence/>

Towards a global participatory platform - democratising open data,
complexity science and collective intelligence.pdf
https://docs.google.com/file/d/0Bz8cVS8LoO7OOTMtOVAwUlNJMGs/edit

Abstract.

The FuturICT project seeks to use the power of big data,
analytic models grounded in complexity science, and the collective
intelligence they yield for societal benefit. Accordingly, this paper argues
that these new tools should not remain the preserve of restricted
government, scientific or corporate ´elites, but be opened up for societal
engagement and critique. To democratise such assets as a public good,
requires a sustainable ecosystem enabling different kinds of stakeholder
in society, including but not limited to, citizens and advocacy groups,
school and university students, policy analysts, scientists, software de-
velopers, journalists and politicians. Our working name for envisioning
a sociotechnical infrastructure capable of engaging such a wide con-
stituency is the Global Participatory Platform (GPP). We consider
what it means to develop a GPP at the different levels of data, mod-
els and deliberation, motivating a framework for different stakeholders
to find their ecological niches at different levels within the system,
serving the functions of (i) sensing the environment in order to pool
data, (ii) mining the resulting data for patterns in order to model the
past/present/future, and (iii) sharing and contesting possible interpre-
tations of what those models might mean, and in a policy context,
possible decisions. A research objective is also to apply the concepts
and tools of complexity science and social science to the project’s own
work. We therefore conceive the global participatory platform as a re-
silient, epistemic ecosystem, whose design will make it capable of self-
organization and adaptation to a dynamic environment, and whose
structure and contributions are themselves networks of stakeholders,
challenges, issues, ideas and arguments whose structure and dynamics
can be modelled and analysed.


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