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Osimo fp7consult13072010def
- 1. David Osimo (Tech4i2) & Yannis Charalabidis (NTUA) EC Constituency Building WS – Brussels, 13 th July 2010
- 7. USER: Citizen & Government Decision and action Collaborative production Social networking Civic hacking Visualiz. for behavioural change Serious games Data representation Visual analytics Augmented reality Natural User Interface Argument mapping Multi-channel Data analysis Non-linear models Social simulation Forecasting Models interoperability Opinion mining Data validation Collaborative filtering Reputation management systems Authentication / Security Privacy Social Network Analysis Data collection Sensors / IoT / smart cities Open gov / linked data Citizens generated data Serious Games Cloud Data Exposure PRODUCER: Citizen & Government
- 13. “ with the ideal of naked transparency alone--our democracy…is doomed…Limited attention span will assure that the most salient is the most stable. Unwarranted conclusions will be drawn, careers will be destroyed, alienation will grow.” Lawrence Lessig 2009 Participants Type of engagement Lisa Simpson Bart Simpson Conversation Today 2020 Action and behavioural change 2020 2020
- 25. David Osimo Tech4i2 [email_address]
- 27. [Athens], [12 th January 2010] From wp1: SoA research From wp3: grand challenges MONTH 12
- 28. Policy modeling and simulation Large-scale co-production Collaborative evaluation Visualization Open data Visual analytics Social/world modeling Sector-specific modeling
- 30. Time Impact Today Samos, July 7 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.
- 31. Theme Model-based Data-powered change Utility Gov Science base Transparency Linked data collaboration Visual analytics Open data Visual analytics Linked data X Social Computing Expertise identification Large scale collaboration X Collaborative policy modelling Qualitative data in models Collaboration in modelling simulation Usability and collaboration in models X Trust Privacy and Identity mgmt Privacy Identity X Future Internet Cloud IoS IoT Cloud Ios IoT Ios Iot Interoperability X
- 32. Epistemology Scientific Methods Multid: Computer Science Multid: Social Sciences Multid: Management Science Theme Model-based Data-powered change Utility Gov Science base Transparency Linked data collaboration Visual analytics Open data Visual analytics Linked data X Social Computing Expertise identification Large scale collaboration X Collaborative policy modelling Qualitative data in models Collaboration in modelling simulation Usability and collaboration in models X Trust Privacy and Identity mgmt Privacy Identity X Future Internet Cloud IoS IoT Cloud Ios IoT Ios Iot Interpoerability X
- 33. Location, Date
- 34. More people and scientist involved (Gov20 and EBPM) More accurate analytical, modeling and simulation tools More data available (the data deluge) 2010 2020
Notes de l'éditeur
- Power law distribution, Tipping points, Cascade effects Liquid modernity, Flat world, Chaos theory Permanent instability and critical state
- Social simulation and models are blackbox, fragmented and single-purpose; built by domain computational science specialist, at high cost for involving lateral domain experts or interested stakeholders. Designing, reviewing and updating formal models from qualitative and quantitative data is costly
- 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.
- Budget restrictions discussed openly through simulation and visualization techniques that also show long-term impacts. Cross-country multilingual implications are made visible in the debate to avoid NIMBY-effects. More engaged people (Lisa Simpson) are able to manipulate simulation based on open data and models to provide alternative views and high-quality input, and to reach out to interested citizens through collaborative filtering tools. Less engaged people (Bart Simpson) can quickly grasp the key issues making use of data curation and visualization tools easily created by the different stakeholders, and by checking the opinion of high-reputation experts (Lisa) trusted by friends. Maximum usage is made of short, limited attention spans and passive behaviors. 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 – respecting for privacy When making public expenditure-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. Social networking and gaming applications engage users to save on public services by showing performances over time and comparison with local community. Government decision-makers are fully accountable through simulation based on linked public data that show the impact of different option, including non-action.
- 07/13/10 06:43 © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.