David Osimo, Yannis Charalabidis ICT 2010 Networking Session Brussels, September   2 7 th ,  2010
Society increasingly interconnected, flexible, fast-evolving, unpredictable Governance often silos-based, linear, obscure, hierarchical, over-simplified Brussels, September 27 th , 2 010 Policies Health R&D Social Disciplines Economics Mathematics ICT Actors Government Citizens Industry
More people involved More accurate analytical, modeling and simulation tools  More data available  2010 2030 Brussels, September 27 th , 2 010
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
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
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
Toda’sy policy modeling: Large human effort > only on major policy decisions (e.g. REACH directive);  using mainly econometric models and overlooking human behaviour; unable to account for human behavior and tipping points.  Social simulation and agent-based models are marginal, black-box, fragmented and single-purpose; built by domain computational science specialist, at high cost for involving lateral domain experts or interested stakeholders. Progress in modeling software has not matched advances in computing power (Post). Designing, reviewing and updating formal models from qualitative and quantitative data is costly. Brussels, September 27 th , 2 010
Integrated, composable and reusable models models composability and interoperability (between software and modelling methods) to build on existing models Short term research: definition of procedures for composition and repositories  Long term research: model interoperability and SOA / GRID Collaborative modelling intuitive model building and simulation tools to allow all stakeholders to take part in transparent formal modelling at large scale Short term: transparent and intuitive modelling interfaces Long-term: mass-collaboration modelling framework Easy access to information and knowledge creation  methods of information elicitation that, during the overall model building and use processes, will help decision makers to learn how a certain system works and ultimately gain insights (knowledge) and understanding (apply the extracted knowledge from those processes) in order to successfully implement a desired policy. Short-term: interoperability of data sources, information elicitation Long-term: user-behavior information generation; mass-interactive learning environments Brussels, September 27 th , 2 010
Model validation Reliability of models plays a crucial role in policy modeling and simulation. A policy model should be developed for a specific purpose (or context) and its validity is to be determined with respect to that purpose (or context). Therefore, specific and integrated techniques and ICT tools are required to be developed for policy modeling, (conceptual and software validation ) Short-term: Consolidation of validation techniques Long-term: complex and large scale model validation; artificial intelligence incorporated in validation systems Interactive simulation  It allows a researcher to interactively control simulations and perform data analysis while avoiding many of the pitfalls associated with the traditional batch/post processing cycle.  Short-term:  Usability Long-term: Input/output system integration, Computational steering Output analysis and knowledge synthesis   the analysis and integration of feedbacks in modelling and simulation process   Short-term: DOE for policy model simulation, ranking techniques Long-term: sophisticated variance estimators, automated output analysis Brussels, September 27 th , 2 010
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
Privacy-compliant participatory sensing for real-time policy-making Dramatically increasing the data availability for policy evaluation while maintaining privacy and ensuring policy inference Short term: combination of sensing with social network analysis, data quality verification, context verification;  Long term: privacy by design; enhanced analytical techniques to respond to subtle events; data collaboration protocols Real-time, high-quality, reusable open government data  Simplifying and lowering costs of real-time open data publication, ensuring data quality and advanced privacy monitoring Short-term: data vocabularies; data curating tools; easy linked data publication Long-term: on the fly data quality agreements, web of data, real-time validation and publication Brussels, September 27 th , 2 010
Federated dynamic identity management Necessary to ensure trustful collaboration,  federated across country, with multiple levels of security for different services, relying on authentic sources, usable in private sector context.  Short-term: Dynamic user-controlled data disclosure; culturally-dependent identity systems; trust negotiation Long-term: context dependent identity management Peer-to-peer public opinion mining The limits of human attention, combined to the existing simple interfaces available for browsing discussion and comments, often leads to low levels of engagement and flaming wars, driving to polarisation of arguments and enhanced risks of conflicts.   Short-term research: computer-generated cross-language policy corpora; algorithms for policy statistical analysis; comment recommendation algorithms Long-term research: integration with social network analysis; audiovisual mining; peer-to-peer usable opinion mining tools;  Brussels, September 27 th , 2 010
Intuitive, collaborative visual analytics of data for policy-making Visual analytics  is particularly effective when dealing with complex and non-predictable patterns, such as those related to assessing and anticipating public policy impact, but is not formalised in the policy context Short-term research: Collaborative platform display; Interaction between visualization and models; Visualization infrastructures for policy modelling issues   Long-term research: Bias identification; learning adaptive algorithm for users’ intent; intuitive affordable interfaces for citizens User-generated simulation and gaming tools for public action Simulation and serious gaming impact on personal incentives to action and showing long-term and systemic effects of individual choices, but lack open scenarios based on personal and policy decision as well as usability Short-term: kit-based citizens-controlled simulation and gaming; integration with policy models Long-term: augmented reality in policy gaming and simulation New institutional design of collaborative governance
GC 3 GC 1 GC 2 State Citizens Citizens Brussels, September 27 th , 2 010
Present: Traditional  public services  have not delivered on their promise for time, quality, cost, or overall return on investment Citizens rarely have access to  personalised services in the way they want Service design cannot tap into citizen or SME’s productivity.  Services practically remain the same as new service creation is hindered  Future: Services are converging and moving from the   physical into the digital world, universally accessible on any device from all social groups Government clouds are overcoming interoperability, privacy and security challenges and provide the base for high automation in public sectors Future Internet appears as a key enabler for new public service systems, drastically altering productivity, speed, cost and overall quality The  1-1-1 Concept : every service can be provided in one stop, one second, with one euro cost Brussels, September 27 th , 2 010
Ubiquitous nature : electricity is available everywhere, if you have a proper line and device to connect Usability : it is simple to connect to electricity network, provided you have an electric device with a standard plug (different from country to country, sometimes) Federation : you don’t really know where / how energy is created within a complex network that cross borders, sectors Co-generation : you can be a customer and a provider, at the same time De-regulation : although Governments set the regulations and may own some utilities, the market is competitive Multi-channel service provision Simplicity, interoperability, inclusion Public Clouds  Service co-creation Service supply deregulation See also “6 common characteristics of service utilities (Rappa, 2004)”: Necessity, Reliability, Usability, Utilisation, Scalability and Exclusivity. Electricity Provision Service Provision Brussels, September 27 th , 2 010
GSU Core Services Identification  Security  Communication Storage Execution Open Data Registry Services Citizen Registry Health Registry Financial Registry Cadastre  Social Security Education Professional Chamber Complex Services Taxation  Health Education  Social Security Benefits / subsidies Representation / Participation Information Services Open data Semantic  services Knowledge management Service Aggregation Service Provision Enterprises, SME’s, VSE’s Finance Growth  Work and Social Security Representation  Information  Citizens Citizenship Health  Education Work and Social Security Representation  / Participation Finance Information Other / Cross Country GSU’s PanEuropean Core Services PanEuropean Registry Services Cross-country services Highly automated  cross-GSU Services  Private Service Utilities  Administrations CoreServices  Registry Services Public Sector (web) Services Planning Monitoring Open Data Service Creation Service Consumption Brussels, September 27 th , 2 010
The public Service Store:  The Government Service Utility allows for service composition and consumption from the Public Sector, private enterprises and citizens in parallel (service co-generation) The society-driven town hall (self-service government):  Citizens utilize real-time context-aware public services to compose interoperable, complex service systems in their everyday life  Fight against corruption:  Multiple government, private and hybrid clouds manipulate massive data provided by citizens,  that can be  cross-checked by federated registries and validated by ubiquitous devices Crisis Management:  Services can be provided through multiple channels, allowing for cloud infrastructure sharing and load balancing in times of crisis Brussels, September 27 th , 2 010
Digital public services value proposition for all Reshape digital public services objectives, scope and means  Create a value proposition model for all stakeholders  User-driven innovation shaping Public Services Service co-design, co-generation, mashing and deployment Citizen generated ideas for new services  Change the “DNA” of Public Services Cloud – based service provision, high automation, interoperability  Multichannel provision, internet of things Services in one second, one stop, at one euro cost Massive Public Information as a Service Utilisation of public information and knowledge Brussels, September 27 th , 2 010
Present: Although a lot of solutions are being developed and applied, there is a lack of systematisation  of the domain, hindering re-use of practices, gradual refinement and evolution Relations with neighboring domains are not explored, resulting in unnecessary duplications or lack of cooperation Future: ICT-enabled governance is maturing into a well-established discipline, integrating social sciences, management, operational research and ICT Classification of research approaches, applications, problems and solution paths supports gradual evolution The research community is constantly updating the objectives and challenges of the domain, utilising new ICT developments for the good of the society Brussels, September 27 th , 2 010
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.
Formal methods and tools  for categorising and analysing the concepts, the problems and solution paths in ICT-enabled governance Metrics and assessment models , Decision Support, Modelling & Simulation Tools (supporting problem-solution relation, utilising BPM/BPR tools, vertical approaches) Multi-disciplinary issues  and relations with neighbouring domains Continuous evolution  of the domain to meet new societal challenges Brussels, September 27 th , 2 010
Today: rank the research challenges by adding post-its; add new ones.  Until October  15 th : rank and comment online via crossroad.uservoice.com   Full draft roadmap available and commentable online at  www.crossroad-eu.net   November 30 th : publication of final roadmap Brussels, September 27 th , 2 010

Crossroad roadmap ict2010

  • 1.
    David Osimo, YannisCharalabidis ICT 2010 Networking Session Brussels, September 2 7 th , 2010
  • 2.
    Society increasingly interconnected,flexible, fast-evolving, unpredictable Governance often silos-based, linear, obscure, hierarchical, over-simplified Brussels, September 27 th , 2 010 Policies Health R&D Social Disciplines Economics Mathematics ICT Actors Government Citizens Industry
  • 3.
    More people involvedMore accurate analytical, modeling and simulation tools More data available 2010 2030 Brussels, September 27 th , 2 010
  • 4.
    Model-based collaborative governanceData-powered collective intelligence and action Government service utility Science base of ICT enabled governance Brussels, September 27 th , 2 010
  • 5.
    State of theart: 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 theart: research push Future scenarios: demand pull Gaps Grand challenges (draft) Research challenges Research challenges Research roadmap (final) Brussels, September 27 th , 2 010
  • 7.
    Toda’sy policy modeling:Large human effort > only on major policy decisions (e.g. REACH directive); using mainly econometric models and overlooking human behaviour; unable to account for human behavior and tipping points. Social simulation and agent-based models are marginal, black-box, fragmented and single-purpose; built by domain computational science specialist, at high cost for involving lateral domain experts or interested stakeholders. Progress in modeling software has not matched advances in computing power (Post). Designing, reviewing and updating formal models from qualitative and quantitative data is costly. Brussels, September 27 th , 2 010
  • 8.
    Integrated, composable andreusable models models composability and interoperability (between software and modelling methods) to build on existing models Short term research: definition of procedures for composition and repositories Long term research: model interoperability and SOA / GRID Collaborative modelling intuitive model building and simulation tools to allow all stakeholders to take part in transparent formal modelling at large scale Short term: transparent and intuitive modelling interfaces Long-term: mass-collaboration modelling framework Easy access to information and knowledge creation methods of information elicitation that, during the overall model building and use processes, will help decision makers to learn how a certain system works and ultimately gain insights (knowledge) and understanding (apply the extracted knowledge from those processes) in order to successfully implement a desired policy. Short-term: interoperability of data sources, information elicitation Long-term: user-behavior information generation; mass-interactive learning environments Brussels, September 27 th , 2 010
  • 9.
    Model validation Reliabilityof models plays a crucial role in policy modeling and simulation. A policy model should be developed for a specific purpose (or context) and its validity is to be determined with respect to that purpose (or context). Therefore, specific and integrated techniques and ICT tools are required to be developed for policy modeling, (conceptual and software validation ) Short-term: Consolidation of validation techniques Long-term: complex and large scale model validation; artificial intelligence incorporated in validation systems Interactive simulation It allows a researcher to interactively control simulations and perform data analysis while avoiding many of the pitfalls associated with the traditional batch/post processing cycle. Short-term: Usability Long-term: Input/output system integration, Computational steering Output analysis and knowledge synthesis the analysis and integration of feedbacks in modelling and simulation process Short-term: DOE for policy model simulation, ranking techniques Long-term: sophisticated variance estimators, automated output analysis Brussels, September 27 th , 2 010
  • 10.
    Brussels, September 27th , 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
  • 11.
    Privacy-compliant participatory sensingfor real-time policy-making Dramatically increasing the data availability for policy evaluation while maintaining privacy and ensuring policy inference Short term: combination of sensing with social network analysis, data quality verification, context verification; Long term: privacy by design; enhanced analytical techniques to respond to subtle events; data collaboration protocols Real-time, high-quality, reusable open government data Simplifying and lowering costs of real-time open data publication, ensuring data quality and advanced privacy monitoring Short-term: data vocabularies; data curating tools; easy linked data publication Long-term: on the fly data quality agreements, web of data, real-time validation and publication Brussels, September 27 th , 2 010
  • 12.
    Federated dynamic identitymanagement Necessary to ensure trustful collaboration, federated across country, with multiple levels of security for different services, relying on authentic sources, usable in private sector context. Short-term: Dynamic user-controlled data disclosure; culturally-dependent identity systems; trust negotiation Long-term: context dependent identity management Peer-to-peer public opinion mining The limits of human attention, combined to the existing simple interfaces available for browsing discussion and comments, often leads to low levels of engagement and flaming wars, driving to polarisation of arguments and enhanced risks of conflicts. Short-term research: computer-generated cross-language policy corpora; algorithms for policy statistical analysis; comment recommendation algorithms Long-term research: integration with social network analysis; audiovisual mining; peer-to-peer usable opinion mining tools; Brussels, September 27 th , 2 010
  • 13.
    Intuitive, collaborative visualanalytics of data for policy-making Visual analytics is particularly effective when dealing with complex and non-predictable patterns, such as those related to assessing and anticipating public policy impact, but is not formalised in the policy context Short-term research: Collaborative platform display; Interaction between visualization and models; Visualization infrastructures for policy modelling issues Long-term research: Bias identification; learning adaptive algorithm for users’ intent; intuitive affordable interfaces for citizens User-generated simulation and gaming tools for public action Simulation and serious gaming impact on personal incentives to action and showing long-term and systemic effects of individual choices, but lack open scenarios based on personal and policy decision as well as usability Short-term: kit-based citizens-controlled simulation and gaming; integration with policy models Long-term: augmented reality in policy gaming and simulation New institutional design of collaborative governance
  • 14.
    GC 3 GC1 GC 2 State Citizens Citizens Brussels, September 27 th , 2 010
  • 15.
    Present: Traditional public services have not delivered on their promise for time, quality, cost, or overall return on investment Citizens rarely have access to personalised services in the way they want Service design cannot tap into citizen or SME’s productivity. Services practically remain the same as new service creation is hindered Future: Services are converging and moving from the physical into the digital world, universally accessible on any device from all social groups Government clouds are overcoming interoperability, privacy and security challenges and provide the base for high automation in public sectors Future Internet appears as a key enabler for new public service systems, drastically altering productivity, speed, cost and overall quality The 1-1-1 Concept : every service can be provided in one stop, one second, with one euro cost Brussels, September 27 th , 2 010
  • 16.
    Ubiquitous nature :electricity is available everywhere, if you have a proper line and device to connect Usability : it is simple to connect to electricity network, provided you have an electric device with a standard plug (different from country to country, sometimes) Federation : you don’t really know where / how energy is created within a complex network that cross borders, sectors Co-generation : you can be a customer and a provider, at the same time De-regulation : although Governments set the regulations and may own some utilities, the market is competitive Multi-channel service provision Simplicity, interoperability, inclusion Public Clouds Service co-creation Service supply deregulation See also “6 common characteristics of service utilities (Rappa, 2004)”: Necessity, Reliability, Usability, Utilisation, Scalability and Exclusivity. Electricity Provision Service Provision Brussels, September 27 th , 2 010
  • 17.
    GSU Core ServicesIdentification Security Communication Storage Execution Open Data Registry Services Citizen Registry Health Registry Financial Registry Cadastre Social Security Education Professional Chamber Complex Services Taxation Health Education Social Security Benefits / subsidies Representation / Participation Information Services Open data Semantic services Knowledge management Service Aggregation Service Provision Enterprises, SME’s, VSE’s Finance Growth Work and Social Security Representation Information Citizens Citizenship Health Education Work and Social Security Representation / Participation Finance Information Other / Cross Country GSU’s PanEuropean Core Services PanEuropean Registry Services Cross-country services Highly automated cross-GSU Services Private Service Utilities Administrations CoreServices Registry Services Public Sector (web) Services Planning Monitoring Open Data Service Creation Service Consumption Brussels, September 27 th , 2 010
  • 18.
    The public ServiceStore: The Government Service Utility allows for service composition and consumption from the Public Sector, private enterprises and citizens in parallel (service co-generation) The society-driven town hall (self-service government): Citizens utilize real-time context-aware public services to compose interoperable, complex service systems in their everyday life Fight against corruption: Multiple government, private and hybrid clouds manipulate massive data provided by citizens, that can be cross-checked by federated registries and validated by ubiquitous devices Crisis Management: Services can be provided through multiple channels, allowing for cloud infrastructure sharing and load balancing in times of crisis Brussels, September 27 th , 2 010
  • 19.
    Digital public servicesvalue proposition for all Reshape digital public services objectives, scope and means Create a value proposition model for all stakeholders User-driven innovation shaping Public Services Service co-design, co-generation, mashing and deployment Citizen generated ideas for new services Change the “DNA” of Public Services Cloud – based service provision, high automation, interoperability Multichannel provision, internet of things Services in one second, one stop, at one euro cost Massive Public Information as a Service Utilisation of public information and knowledge Brussels, September 27 th , 2 010
  • 20.
    Present: Although alot of solutions are being developed and applied, there is a lack of systematisation of the domain, hindering re-use of practices, gradual refinement and evolution Relations with neighboring domains are not explored, resulting in unnecessary duplications or lack of cooperation Future: ICT-enabled governance is maturing into a well-established discipline, integrating social sciences, management, operational research and ICT Classification of research approaches, applications, problems and solution paths supports gradual evolution The research community is constantly updating the objectives and challenges of the domain, utilising new ICT developments for the good of the society Brussels, September 27 th , 2 010
  • 21.
    Time Impact TodayBrussels, 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.
  • 22.
    Formal methods andtools for categorising and analysing the concepts, the problems and solution paths in ICT-enabled governance Metrics and assessment models , Decision Support, Modelling & Simulation Tools (supporting problem-solution relation, utilising BPM/BPR tools, vertical approaches) Multi-disciplinary issues and relations with neighbouring domains Continuous evolution of the domain to meet new societal challenges Brussels, September 27 th , 2 010
  • 23.
    Today: rank theresearch challenges by adding post-its; add new ones. Until October 15 th : rank and comment online via crossroad.uservoice.com Full draft roadmap available and commentable online at www.crossroad-eu.net November 30 th : publication of final roadmap Brussels, September 27 th , 2 010

Editor's Notes

  • #11 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.
  • #17 10/06/10
  • #18 10/06/10