National Technical University of Athens

(Coordinator)(Coordinator)

Tech4i2 Limited European Projects & Management Agency

University Koblenz-Landau Joint Research CentreEuropean Commission

OD2010Leeds 2nd July 2010

David Osimo, Tech4i2David Osimo, Tech4i2

EC FP7 research programme on ICT for governance and policy modelling

a) Governance and participation toolboxa) Governance and participation toolbox

• advanced tools and new governance models to empower and engage individuals, societal groups and communities

• mass cooperation platforms

facilitate transparency and tracking of inputs to the policy and decision making process

enable creation, sharing and tracking of group knowledge

• security, identity and access controls

safeguarding against misuse, ensuring privacy & providing feedback

Outcome

b) Policy modelling, simulation and visualisationb) Policy modelling, simulation and visualisation

• Real-time opinion visualisation based on modelling, societal simulation, gaming and mixed reality applications

• Policy modelling, based on the simulated behaviour and wishes of large numbers of people

• Next generation of public services as complex service systems in the environment of social networking and collaborative society, including the needs of the younger generation.

• Large-scale data analysis and cloud computing

Outcome

And more to come in 2011

Building a participative roadmap on ICT for Governance and Policy Modelling

[Location], [Date] 6

Discussion Point 1Discussion Point 1.1

USER: Citizen & Government

Users Engagement

Collaborative production

Social networking

Civic hacking Display for behavioural change

Data representation

Visual analytics

Augmented reality

Context-aware computing

Multi-channel

Data analysis

Non-linear models

Societal simulation

Forecasting Models interoperability

Opinion mining

Data validation

Collaborative filtering

Reputation management systems

Authentication

Privacy Social Network Analysis

Data collection

Sensors / smart cities

Open gov / linked data

Citizens generated data

Serious Games

Interoperable Data Exposure

PRODUCER: Citizen & Government

More people involved (collaborative governance)

More accurate and usable models and simulation tools

More data available (the data deluge)

20102010

20302030

Open collaborative model-building based on massive quantitative and qualitative data Pervasive and joined-up simulation for policy impact assessmentRepresentative and high quality participation in policy making even with low engagementFrom conversation to action: simulation-based behavioural changeGovernment Service UtilityTowards a science of ICT for governance and policy modelling (policy-making)

National Technical University of Athens

(Coordinator)(Coordinator)

Tech4i2 Limited European Projects & Management Agency

University Koblenz-Landau Joint Research CentreEuropean Commission

David Osimo, Tech4i2David Osimo, Tech4i2David.osimo@tech4i2.comDavid.osimo@tech4i2.com

Join Us! @crossroadeu #xroad groups: Crossroad-eu

Currently, collaborative policy making requires in-depth understanding and attention, and involves only a self-selected micro-elites of participants with total separation from non-participants and risks of self-referential thinking. When large-scale participation occurs, input is often of low value and data processing is mostly human, at high cost. Costs of engagement and analysis remain high, and e-discussion too separated from mainstream priorities.2030 example: budget restrictions are being discussed openly through simulation and visualization techniques that also show long-term impacts. Less engaged people can quickly grasp the key issues by checking the opinion of high-reputation experts trusted by friends and making use of curation and visualization tools easily created by the different stakeholders. Engagement processes are designed to leverage short attnetion and engagement span. Opinion mining and natural language interface. Collaborative filtering tools ensure relevant content but also awareness of divergent opinions to avoid confirmation bias and group thinking. Maximum usage is made of short, limited attention spans and passive behaviours. Collective preferences are captured by formal input and informal behaviour such as satisfaction with specific services, opinion mining, instant and context-aware feedback collection about specific services. Online debate reflects and involves “the belly” of public opinion.

Real-time, accurate and affordable opinion-mining and reputation management systems; large scale collaboration through SNA and KDDM; pervasive context-aware feedback; gaming simulation and visualization for inclusion; usable tools for curating content and opinion; filtering to distinguish signal from noiseRelevant Gaps:

1.5. Citizen-oriented linked data querying and reasoning1.7. Large scale public information visualization2.1. Open and Cross-language Collaborative Filtering2.2. High-quality expertise identification through reputation management2.3. Distributed Early Warning Systems for Risk Prevention2.4. Affordable large scale collaboration 2.5. Leveraging casual participation2.6. Robust and large-scale argument support systems3.4. Collaborative Intelligence in Policy Making3.5. Usability in Modelling and Simulation4.1. IT compliance for integrated and process supportive identity management4.4. Social engineering and trust relationship5.3. Mobility and Participatory Sensing5.4. Real-time context-aware services

Today, even in cases where full information is available, individuals and government do not implement the needed actions, out of laziness, fear, blindness. ICT is already useful in providing the information, but has little impact on the deriving action. Furthermore, accountability is applied only to government, while to some degrees it should be applied to citizens as well.2030 example: When making policy-relevant choices such as attending emergency services for normal illnesses, citizens have immediate intuitive feedback on the simulation of the impact of their choices, at personal and systemic level, such as the cost generated and tax implications. Peer-pressure tools show what choices the community makes and shows its total long term impact. Automated filtering tools ensure personal awareness of important elements, overcoming confirmation bias. Gaming applications engage users to consume less by showing performances over time. Same principles applied to government decision-makers, including feedback on the potential impact on approval rate (as incentive to act).

We need intuitive simulation and visualization tools that related everyday choices by citizens to related policy actions; that raise the attention on possible confirmation biases and overlooking relevant information; Relevant gaps:

1.1. Systematic management and monitoring of transparency1.4. Real-time Public Linked Data1.5. Citizen-oriented linked data querying and reasoning1.7. Large scale public information visualization2.4. Affordable large scale collaboration 2.5. Leveraging casual participation3.4. Collaborative Intelligence in Policy Making3.5. Usability in Modelling and Simulation4.2. Litigable data protection in high flexible business processes4.3. Flexible and dynamic disclosure management tools and technologies5.3. Mobility and Participatory Sensing