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FUPOL - a new approach to E-Governance (Peter Sonntagbauer)


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4.5.12, Workshop, SE 1.5: FUPOL - a new approach to E-Governance (Peter Sonntagbauer) #CeDEM12

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FUPOL - a new approach to E-Governance (Peter Sonntagbauer)

  2. 2.  Overview Current Status Q&A, discussion
  3. 3. FUPOL: Facts and Figures FP7 Research Project 2011 – 2015 with a budget of 9,0 Mio EUR Objective: An integrated governance model for cities based on social media policy simulation and related IT tools Good balance of international ICT companies, universities and political institutions 17 Partners from Austria, Croatia, China, Cyprus, France, Germany, Italy, Latvia, Romania, Spain, UK
  4. 4. Starting point: Urbanization asa 21st century megatrend 1800: 2 percent of the world was urban. 1900: 14 percent urban. 2008, the world crossed the 50 percent threshold. 2050, it is expected that the world will be 80 percent urban. 90 80 70 60 50 40 30 20 10 0 1800 1850 1900 1950 2008 2050
  5. 5. Resulting urban policy challenges and topics as a project focus Land Use Policy Housing Policy Integration Policy2011/2012 Urban Sprawl Affordable Housing Segregation Efficient land use Slums Exclusion Environment Tourism Policy Budget Policy2012/2013(currently beingevaluated) Pollution Sustainable Participative Budgeting Impact Forecast Low Carbon Tourism
  6. 6. Objective: A comprehensivesolution to support policy design Urban Policies Simulation Policy Models Training Material and Guidelines Recommendation Training Material and Guidelines FUPOL IT TOOLBOX Training Material and Guidelines
  7. 7. Application Scope:Policy Design Process (simplified) Automatically collect, analyze and interpret opinions expressed on a large scale from the Internet „Hot“ Topic sensing Involve Stakeholders through Multichannel social computing and crowd sourcing to change the way politicians communicate with citizensStakeholder Involvement Simulate the effects of policies and laws and to assist governments in the whole policy design process and get feedback again Scenarios, Simulation
  8. 8. Automatically collect and analyzeopinions from social media What is the current concern of citizens „Hot Topics“ Social Media offer new opportunities complementing „traditional“ channels such as surveys, face to face meetings
  9. 9. Backend to existing social mediapresence of a city Hot Topic Sensing complements existing social media presence Backend to automatically analyze messages and group them FUPOL method based on statistical algorithms (LDA) and machine learning – works with any European language
  10. 10. Select priority topic and initiatepublic deliberation Decision maker selects priority topic Initiates public discussion through various social media „Single Window“ through central dashboard Malibu Square Renovation We intend to renovate Malibu square,. What should be done ? Send us your ideas !
  11. 11. Crowdsourcing : Get feedback andideas from e-citizen Location based feedback from e-citizens Rating and selection of best ideas with idea management system Improves acceptance by e-citizen© Meipi Prato
  12. 12. Simulate and optimize scenarios Simulation: Anticipate the impact of policies More transparency for decision makers, administration and citizen Land Use Schiphol 2012 2030 after implementing a policy to attract industrial investment Source: RIKS
  13. 13. Find and visualize knowledge toevaluate scenarios FUPOL-Knowledge database Identify and visualize urban data (statistics) Identify related studies Find best practice Evaluate scenarios
  14. 14. Implementation strategy (I)User driven innovation User driven innovation means - thorough understanding of requirements and current challenges in city administrations drives R & D - close contact to pilot cities and potential users in other cities through F2F meetings and workshops - Major Cities of Europe ( in the consortium
  15. 15. Implementation strategy (II)Agile based on SCRUM • Incremental delivery of working software • Continuous multi-level integration t • High level of test automation • Iterative approach • Short controlling cycles (monthly or 2 weeks, tbc) t • Timeboxed • Output planning based on user stories • Priority of work based on „value added“ (business$ $ value, risk mitigation, knowledge gained, …) t • Valuable work has a higher priority than less valuable work
  16. 16. Continous release of results Research & Development Testing / Pilots Rel 0.1 July 2012 Exploitation 2012 2013 2014 2015 2016
  17. 17.  Overview Current Status Q&A, discussion
  18. 18. Status and resultsOverall progressing as planned, software development 3 months ahead ofschedule because of the agile methodology Policy design  Urban policy domains analyzed and prioritized  Analysis of social media in urban politics finalized  Study of data protection issues completed Policy simulation  Some policy models defined as Fuzzy Cognitive Maps & causal models  Land use SW state of the art analyzed  Land use protoype in NETLOGO implemented
  19. 19. Status and results Software development  Requirements collected, IT-architecture defined  Enterprise GIS set-up  Software development started in March 2012 Visualization: State of the art study concluded Hot Topic Sensing & Topic summarization:  State of the Art analysis concluded  Design initiated
  20. 20. Policy domain selection Land-use, housing, segregation selected for 2011/2012 and policy design processes, data and indicators of selected domains studied Domain selection criteria 1. Linkage of the domain to a major urban challenge - this refers to the linkage of the domain to a major urban challenge such as urban sprawl, slums, etc. 2. Availability of statistical data - this is important, because without data simulation is very difficult. 3. Pilot city priority - the priorities assigned by the pilot cities were important in the overall ranking. 4. Overall priority – finally the overall priorities (European and worldwide).
  21. 21. Policy Models and simulation Some policy models defined as Fuzzy Cognitive Maps & Causal Models Building models, which are applicable across different countries and cultures could be a challenge
  22. 22. Analysis social media in urbanpolitics, status and best practice Not in widespread use – benefits are not recognized Weak point: Social media strategy Weak point: Social media guidelines for employees Some politicians are afraid of social media, because they cannot be controlled City administrations fear additional workload and „PR-disasters“ resulting from bad communication between civil servants and citizens Social medias usage model developed as part of the FUPOL policy guidelines
  23. 23. Proposed ModelSocial Media in Urban Politics
  24. 24. Data Protection & Social Media Social Media data (postings etc) can be processed, because the individual has unambiguously given his or her consent However it has been decided to anonymize them for further processing
  25. 25. IT-Platform: Core PlatformArchitecture decidedFUPOL uses a service oriented architecture (SOA)Modules communicate over the ESB using standard protocols(WFS/WCS/WMS/SPARQL) if possible and proprietary APIs (FUPOL Core API overSOAP) if no standards apply (i.e. campaign data, user activity,…)
  26. 26. IT-Platform: „Campaign“ in thepolicy design process„Campaigns“ maintains the sequence of actions and their results by theuser (facilitator) in the policy design process and its results The facilitator writes The facilitator creates his final report and The facilitator adds closes the campaign. topic trees using the data from the data/ Some generated data topicalization tool The facilitator knowledge base might be added to the creates a The facilitator starts data base for later new campaign the simulation and reuse The facilitator collects adds the results social media data using the crawler time
  27. 27. IT-Platform: Enterprise GIS set-up Maps INSPIRE data Maps names to coordinates Used by Stores the sysop all data Provides WFS/WCS/WMS
  28. 28. Hot topic sensing State of the art and social media monitoring tools evaluated Data sourcing: How to reduce them to the relevant postings ?  Conventional keyword search available in many social media monitoring tools is unsuitable  Predefined sources (certain blogs, Twitter hashtags..) is an option  Better option is to use geolocalized data of postings from social networks as a filter (if available)
  29. 29. Automatic Topic Summarization:State of the art study finalized We can determine the „representative‟ sentences in an input with goodaccuracy. Depending on the domain, we can determine if sentences evokepositive or negative feelings towards a topic There is some ability to model the structure of a conversation in an onlineforum and understand the progression of an argument/discussion There is very little work on true abstractive summarization; most resultsare simply extracted phrases/sentences from an input Difficulties when the data is “noisy” (i.e. poor spelling, use of slang, etc.) Summary Documents belonging to the same topic
  30. 30. Automatic Topic summarization:Methods under investigation “Traditional” summaries of citizen comments:Processed extracted sentences that are representative of citizens‟ commentsstrung together into a shorter representation“Report”-style summaries of comments: Generated text that describesimportant discussed issues along with some analysis and example commentsRanked “topic”-word and -sentence lists of comment themes: Lists ofdiscovered words and sentences that are representative of citizens‟ comments“Opinion” summaries: Summaries that highlight the diverging opinions orsentiment (positive/negative) on different topics/projects
  31. 31. Upcoming…. June 2012 Major Cities of Europe Conference 2012 in Vienna: Important event – user dialogue through a workshop July 2012 First release of software core platform August 2012 Second release of software core platform October 2012 First set of policy models and other documents (e.g. pilot planning)
  32. 32. Take Part ! Follow us:  Website (  Facebook (  LinkedIn Take part: Test and evaluate the FUPOL results Establish relations to exchange views Dr. Peter Sonntagbauer Project Director FUPOL cellent AG Tel.: +43 (1) 532 78 03-0 Fax: +43 (1) 532 78 03-33 Mobile: +43 (676) 42 84 724 e-mail Sonntagbauer, Peter