crossroad wp4session samo sv3

Joint Research Centre European Commission

Samos summit Samos 6th july 2010

!   iden5fy the research-‐specific component of the grand challenges iden5fied by WP3

!   priori5ze the challenges according to their strategic importance and the research component involved

!   iden5fy the logical and func5onal rela5onships between the different research challenges

!   assess the degree of overlapping with other applica5on domains, and in par5cular the degree to which the applica5on in the domain of governance and policy modelling presents elements of originality and innova5on

!   propose adequate implementa5on measures including the different instruments needed for each research them

[Athens], [12th January 2010] 3

domain

domain domain IMPLEMENTATION MEASURES AND

SPECIFIC TOOLS

measure

tool measure

1st Challenge

2nd Challenge

3rd Challenge

Challenge 1

Challenge 2

Challenge 3

Grand challenge

Research challenge


domain

domain domain IMPLEMENTATION MEASURES AND

SPECIFIC TOOLS

measure

tool measure

1st Challenge

2nd Challenge

3rd Challenge

Challenge 1

Challenge 2

Challenge 3

Grand challenge

Research challenge

[Loca5on], [Date] 5

!   Discussion Point 1 !   Discussion Point 1.1

[Loca5on], [Date] 6

!   Discussion Point 1 !   Discussion Point 1.1

PeerToPatent

Oil Reporter Splash -‐ Simula5on of health policy impact


G 1.1 -‐ Systema5c management and monitoring of transparency

G1.2 -‐ On-‐the fly Open Data Quality Agreements

G1.3 -‐Framework for management and resolu5on of legal issues of publishing open data

RT1 -‐ OPEN GOVERNMENT INFORMATION & INTELLIGENCE FOR TRANSPARENCY

G1.4 -‐Real-‐5me Public Linked Data

G1.5 -‐Ci5zen-‐oriented linked data querying and reasoning

G1.6 -‐Seamless collabora5on and coopera5on in data layer

G1.7 -‐Large scale public informa5on visualiza5on

RT2 -‐ SOCIAL NETWORKS, CITIZEN ENGAGEMENT AND INCLUSION

G2.1 -‐ Open and Cross-‐language Collabora5ve Filtering

G2.2 -‐ High-‐quality exper5se iden5fica5on through reputa5on management

G2.3 -‐ Distributed Early Warning Systems for Risk Preven5on

G2.4 -‐ Affordable large scale collabora5on

G2.5 -‐ Leveraging casual par5cipa5on

G2.6 -‐ Robust and large-‐scale argument support systems

G2.7 -‐ Robust Natural Language Interfaces

G3.1 -‐ ICT for state-‐of-‐the-‐art policy making

G3.2 –Large scale transforma5on of quan5ta5ve and qualita5ve data into formal policy models

G3.3 -‐ Scalability of modules

RT3 -‐ POLICY MODELLING

G3.4 -‐ Collabora5ve Intelligence in Policy Making

G3.5 -‐ Usability in Modelling and Simula5on

G4.1 -‐ IT compliance for integrated and process suppor5ve iden5ty management

G4.2 -‐ Li5gable data protec5on in high flexible business processes G4.3 -‐ Flexible and dynamic disclosure management tools and technologies

G4.5 -‐ Social engineering and trust rela5onship

G5.1 -‐ Future Internet for Collabora5ve Governance

G5.2 – Massive government clouds G5.3 -‐ Business models for public-‐private clouds governance

G5.4 -‐ Mobility and Par5cipatory Sensing

G5.5 -‐ Real-‐5me context-‐aware services

USER: CiQzen & Government

Users Engagement

Collabora5ve produc5on

Social networking

Civic hacking Display for behavioural change

Data representaQon

Visual analy5cs

Augmented reality

Natural User Interface

Argument mapping

Mul5-‐channel

Data analysis

Non-‐linear models

Societal simula5on

Forecas5ng Models interoperability

Opinion mining

Data validaQon

Collabora5ve filtering

Reputa5on management systems

Authen5ca5on / Security

Privacy Social Network Analysis

Data collecQon

Sensors / IoT / smart ci5es

Open gov / linked data

Ci5zens generated data

Serious Games

Cloud Data Exposure

PRODUCER: CiQzen & Government

More people and scien5st involved (Gov20 and EBPM)

More accurate analy5cal, modeling and simula5on tools

More data available (the data deluge)

2010

2020

Grand challenges have to: •  Be understandable, visual and inspire research idea •  Be bold and disrup5ve but strongly rooted in SoA and addressable by 2020 •  Contain significant cri5cal mass of research •  Address gaps across Research Themes

The proposed grand challenges: !   Model-‐based governance !   Data-‐powered behavioural change !   Government Service U5lity !   Scien5fic base of ICT-‐assisted governance

Note: these are instrumental to leverage par5cipants insight into relevant research issues

Today ex-‐ante policy assessment: !   Large human effort > only on major policy decisions (e.g.

REACH direc5ve); !   using mainly econometric models and overlooking human

behaviour; unable to account for human behavior and 5pping points.

!   Social simula5on and models are blackbox, fragmented and single-‐purpose; built by domain computa5onal science specialist, at high cost for involving lateral domain experts or interested stakeholders. Progress in modelling sokware has not matched advances in compu5ng power (Post).

!   Designing, reviewing and upda5ng formal models from qualita5ve and quan5ta5ve data is costly.

!   Pervasive and joined-‐up simulaQon for policy impact assessment: impact assessment for deciding how to op5mize garbage collec5on in a medium city;

!   model-‐building and simula5on carried out the responsible civil servant based on pre-‐built models, in collaboraQon with domain expert through a model-‐as-‐a-‐service soZware;

!   Macro-‐model are dynamically integrated with micro models of other ins5tu5onal levels and sectors;

!   Models are evolving, accoun5ng for input from massive amounts of data, structured (from RFID in garbage bags) and non-‐structured (feedback from ci5zens behavior and opinion);

!   model and data are exposed in a transparent and privacy-‐compliant manner;

!   simula5ons account for human behaviour, an5cipate possible Qpping points, domino effects

Par5cipants

Type of engagement

Lisa Simpson Bart Simpson

Conversa5on Today 2020

Ac5on and behavioural change 2020 2020

!   Open discussion through simula5on by open data and models. !   More engaged people (Lisa Simpson) to manipulate data and

simula5on to provide alterna5ve views and to collaborate !   Less engaged people (Bart Simpson) have progressive forms of

par5cipa5on through third party visualiza5on tools, and by checking the opinion of trusted high-‐reputa5on experts (Lisa)

!   Maximum usage is made of short, limited a^enQon spans !   Ci5zen choice simula5on: When using public services, ci5zens

have immediate feedback on their impact of their choices, at personal and systemic level, such as the cost and taxes.

!   Social networking and gaming engage users to save on public services by showing performances over 5me and comparison.

!   Government decision-‐makers are fully accountable through simula5on and open data that show the impact of different op5ons, including non-‐ac5on.

Theme Model-‐based Data-‐powered change

UQlity Gov Science base

Transparency Linked data collabora5on Visual analy5cs

Open data Visual analy5cs

Linked data X

Social Compu5ng

Exper5se iden5fica5on

Large scale collabora5on

X

Collabora5ve policy modelling

Qualita5ve data in models Collabora5on in modelling simula5on

Usability and collabora5on in models

X

Trust Privacy and Iden5ty mgmt

Privacy Iden5ty X

Future Internet Cloud IoS IoT

Cloud Ios IoT

Ios Iot Interoperability

X

Theme Model-‐based Data-‐powered change

UQlity Gov Science base

Transparency Linked data collabora5on Visual analy5cs

Open data Visual analy5cs

Linked data X

Social Compu5ng

Exper5se iden5fica5on

Large scale collabora5on

X

Collabora5ve policy modelling

Qualita5ve data in models Collabora5on in modelling simula5on

Usability and collabora5on in models

X

Trust Privacy and Iden5ty mgmt

Privacy Iden5ty X

Future Internet Cloud IoS IoT

Cloud Ios IoT

Ios Iot Interpoerability

X

Epistemology Scientific Methods Multid: Computer Science Multid: Social Sciences Multid: Management Science

1.  Division in groups based on challenges 2.  Presenta5on of challenge and discussion (15 mins) 3.  Each par5cipant to write on post it 3 key research issues/ideas

to meet the grand challenges (15 mins) 4.  Put the research idea in the appropriate place on the sheet

based on 5 research domain and 5ming: short term (<7 years for results) and long term (>8 years)

5.  Jointly discuss to consolidate and reach consensus around 20 research issues

6.  Report to plenary

!   Formulate and classify interven5on to address final version of gaps based on implementa5on/ research con5nua5on / new research

!   Redefine grand challenges based on proposed research issues !   Analyze and classify research challenges based on: priority,

cross-‐rela5on, specificity, originality, comparison with parallel research

!   Publish first drak document !   Online vo5ng on each research challenge based on:

!   Importance of the impact !   Original research effort

!   First drak roadmap presented in Brussels

!   2 workshops? !   Tools needed: uservoice.com and writetoreply.org !   Dis5nguish between tech and applica5on fields !   Role of partners

!   Examples of grand challenges + research challenges

NTUA TECH4i2 EPMA UKL IPTS

3 8,5 0,8 2 0

applicaQon domain

tech

Government Manufacturing defense …

Agent-‐based modeling

laggard advanced medium

Social network theory

laggard medium advanced

Opinion mining advanced Medium laggard

…

Possibility for spillover effects Double dividend: better government and more competitive industry


T4.5 POLICY RECOMMENDATIONS TOWARDS STAKEHOLDERS

D4.4 Final Policy Recommenda/ons M11

T4.4 FINAL ROADMAP PUBLICATION

D4.3 2nd Version of Roadmap M11

T4.3 WEB-‐BASED ROADMAP CONSULTATION AND LARGE EXPERT WORKSHOP

D4.2 Delibera/on Results M10

T4.2 RESTRICTED ROADMAP VALIDATION WORKSHOP

D4.1 1st version of Roadmap M9

T4.1 INITIAL ROADMAP DRAFT

dra< version of Roadmap M7

!   What is the present state of the art in the field of governance and policy modelling !   I. Which are the most advanced implementa5on ini5a5ves in this field, and the

challenges encountered? !   II. What is the present research state of the art, and the present issues do be

addressed? !   Taking into account possible future scenarios, what are the specific gaps and grand

challenges in the field? Between the challenges emerging from present needs and future scenarios, which are related to research, rather than implementa5on?

  Which logical rela5onships (such as sequen5ality, originality, redundancy or complementarity), are there between ongoing research on in other applica5on domains? In par5cular, in which ones the applica5on fields of governance and policy modelling is likely to be at the fron5er of technological innova5on, compared to other applica5on fields?

  For those research challenges iden5fied, what kind of research support measures should be adopted?

!   Visual analy5cs !   Opinion/sen5ment mining !   Augmented reality

!   We need intui5ve simula5on and visualiza5on tools that related everyday choices by ci5zens to related policy ac5ons; that raise the aten5on on possible confirma5on biases and overlooking relevant informa5on;

!   Relevant gaps: !   1.1. Systema5c management and monitoring of transparency !   1.4. Real-‐5me Public Linked Data !   1.5. Ci5zen-‐oriented linked data querying and reasoning !   1.7. Large scale public informa5on visualiza5on !   2.4. Affordable large scale collabora5on !   2.5. Leveraging casual par5cipa5on !   3.4. Collabora5ve Intelligence in Policy Making !   3.5. Usability in Modelling and Simula5on !   4.2. Li5gable data protec5on in high flexible business processes !   4.3. Flexible and dynamic disclosure management tools and technologies !   5.3. Mobility and Par5cipatory Sensing

crossroad wp4session samo sv3

Technology

cloud ios

leveraging

li5gable data

large scale

collabora5ve

policy making

exper5se iden5ca5on

policy modelling