Global Systems Science in the FET draft work programme

The Future and Emerging Technologies (FET) draft work programme (as part of Horizon 2020) is now published and it contains the almost final version of the calls to be announced officially 2013-12-11. Global Systems Science is there under “FETPROACTIVE1” with a prel. budget of 10M EUR and an application deadline of 2014-04-01.

The GSS text is part of this document:
and also included below for reference.

Time to start discussing possible constellations for good application consortia! (I’m interested as long as there is a clear software technology component.)

Kind regards,
Patrik Jansson,

GSS enabling technologies wordle


FETPROACT 1 – 2014: Global Systems Science (GSS)

Specific challenge: The ambition is to improve the way scientific
knowledge can help inform and evaluate policy and societal responses
to global challenges like climate change, global financial crises,
global pandemics, and growth of cities – urbanisation and migration
patterns. These challenges entangle actions across different sectors
of policy and society and must be addressed by radically novel ideas
and thinking for producing, delivering, and embedding scientific
evidence into the policy and societal processes.

GSS will put to full use the abundance of data on social, economic,
financial, technological, and ecological systems available today. GSS
emphasises systems thinking and the need to integrate/link data,
models, and policies across all policy sectors with all societal
actors. GSS will build on results from, among others, Complex Systems
Science, Network Science, Mathematics of Big Data, the life sciences,
social sciences and humanities, behavioural sciences, statistics,
econophysics, etc.

Scope: Proposals must address all of the below elements, necessary to
successfully embed scientific evidence in the policy processes for
tackling global challenges:

• Research grounded in theoretical foundations of, among others,
systemic risk, decision making under uncertainty or conflicting
evidence, mathematics and computer science for Big Data (including
their characteristics), algorithmic game theory,
cascading/escalating effects in networks, integration and
visualisation of Big Data…

• Contributions to solving real world problems in one selected problem
area – for instance tackling systemic risk in finance/economics,
managing growth of cities and migration, or global pandemics – and
in particular to tackle cross-cutting policy dependencies and
interactions affecting the area of choice.

• Novel ideas and technologies to generate and better communicate the
scientific evidence-base: advanced simulation of highly
interconnected systems; mathematical and tools for analysing (often
unstructured) Big Data; integration of the whole spectrum of
structure and unstructured data; methods to deal with conflicting
data and modeling results; novel data visualisation tools.

• Society/human-centred technologies, for instance, new approaches to
allow citizens to actively participate in the policy process, to
collectively gather and integrate data, analyse evidence, and novel
methods to better judge and use scientific evidence: methods,
e.g. games, gamification, and narratives to clearly and consistently
convey data and modeling results and thereby to stimulate societal

The Commission considers that proposals requesting a contribution from
the EU of between EUR 2 and 3 million would allow this specific
challenge to be addressed appropriately. Nonetheless, this does not
preclude submission and selection of proposals requesting other

Expected impact:

• Level to which research proposed is rooted in policy needs, promotes
system thinking, and is delivering consistent messages from
conflicting data and model results.
• Level of use/uptake of GSS tools and methods in the policy and
societal processes, including in EC policies.
• Capacity of GSS to help integrate societal responses across policy
domains and crosscutting authorities by development of a system-wide
integrated evidence base of data and models.

Type of action: Research and Innovation Actions (100% funding)

The conditions related to this topic are provided at the end of this
call and in the General Annexes.

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