1. David Osimo, Yannis Charalabidis ICT 2010 Networking Session Brussels, September 2 7 th , 2010
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3. More people involved More accurate analytical, modeling and simulation tools More data available 2010 2030 Brussels, September 27 th , 2 010
4. Model-based collaborative governance Data-powered collective intelligence and action Government service utility Science base of ICT enabled governance Brussels, September 27 th , 2 010
5. State of the art: research push Future scenarios: demand pull Gaps Grand challenges (draft) Research challenges Research challenges Research roadmap (final) Brussels, September 27 th , 2 010
6. State of the art: research push Future scenarios: demand pull Gaps Grand challenges (draft) Research challenges Research challenges Research roadmap (final) Brussels, September 27 th , 2 010
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10. Brussels, September 27 th , 2 010 Layer Research Challenge Collaboration and Action User-generated simulation and gaming for public action New institutional design for collaborative governance Analysis and representation Collaborative visual analytics for policy-making Peer-to-peer public opinion mining Data collection and validation Federated dynamic identity management Real-time, high-quality, reusable open government data Privacy compliant participatory sensing for real-time policy design and evaluation Lisa Simpson Bart Simpson Conversation Today 2030 Action 2030 2030
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14. GC 3 GC 1 GC 2 State Citizens Citizens Brussels, September 27 th , 2 010
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21. Time Impact Today Brussels, September 27 th , 2 010 External Enhancement & Exploration Popularisation Wave 3 Industrial quality solutions. Communication and marketing towards broader communities. Substantiation of value. Development and Extension Internal Enhancement & Exploration Wave 2 Stabilisation of models and tools. Population of solution scenaria. Impact assessment and simulation. Training curriculum. Concept Formulation Foundational Principles Wave 1 Ability to identify and describe problems and solutions. Research community establishment. Convergence on initial concepts.
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Notas do Editor
Present: 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 group thinking. When large-scale participation occurs, input is often of low value or confrontational and data processing is mostly human, at high cost. Costs of engagement and analysis remain high, and online-discussion too separated from mainstream priorities even in cases where online collaboration happens, little real-world action derives. Even when ICT provides sufficient evidence, this does not translate into concrete action by government and citizens, because of confirmation bias, risk aversion, lack of attention, lack of incentives – as in the case of climate change.