2. Overview
Current Status
Q&A, discussion
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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
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4. Starting point: Urbanization as
a 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
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5. Resulting urban policy challenges
and topics as a project focus
Land Use Policy Housing Policy Integration Policy
2011/2012
Urban Sprawl Affordable Housing Segregation
Efficient land use Slums Exclusion
Environment Tourism Policy Budget Policy
2012/2013
(currently being
evaluated)
Pollution Sustainable Participative Budgeting
Impact Forecast
Low Carbon Tourism
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6. Objective: A comprehensive
solution 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
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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
citizens
Stakeholder Involvement
Simulate the effects of policies and laws and to
assist governments in the whole policy design
process and get feedback again
Scenarios, Simulation
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8. Automatically collect and analyze
opinions 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
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9. Backend to existing social media
presence 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
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10. Select priority topic and initiate
public 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 !
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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
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13. Find and visualize knowledge to
evaluate scenarios
FUPOL-Knowledge database
Identify and visualize urban data (statistics)
Identify related studies
Find best practice
Evaluate scenarios
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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 (www.majorcities.eu) in the consortium
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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
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16. Continous release of results
Research & Development
Testing / Pilots
Rel 0.1
July 2012 Exploitation
2012 2013 2014 2015 2016
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17. Overview
Current Status
Q&A, discussion
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18. Status and results
Overall progressing as planned, software development 3 months ahead of
schedule 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
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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
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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).
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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
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22. Analysis social media in urban
politics, 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
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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
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25. IT-Platform: Core Platform
Architecture decided
FUPOL 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 over
SOAP) if no standards apply (i.e. campaign data, user activity,…)
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26. IT-Platform: „Campaign“ in the
policy design process
„Campaigns“ maintains the sequence of actions and their results by the
user (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
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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
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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)
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29. Automatic Topic Summarization:
State of the art study finalized
We can determine the „representative‟ sentences in an input with good
accuracy. Depending on the domain, we can determine if sentences evoke
positive or negative feelings towards a topic
There is some ability to model the structure of a conversation in an online
forum and understand the progression of an argument/discussion
There is very little work on true abstractive summarization; most results
are 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
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30. Automatic Topic summarization:
Methods under investigation
“Traditional” summaries of citizen comments:
Processed extracted sentences that are representative of citizens‟ comments
strung together into a shorter representation
“Report”-style summaries of comments: Generated text that describes
important discussed issues along with some analysis and example comments
Ranked “topic”-word and -sentence lists of comment themes: Lists of
discovered words and sentences that are representative of citizens‟ comments
“Opinion” summaries: Summaries that highlight the diverging opinions or
sentiment (positive/negative) on different topics/projects
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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)
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32. Take Part !
Follow us:
Website (www.fupol.eu)
Facebook (www.facebook.com/fupol)
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 peter.sonntagbauer@cellent.at
www.facebook.com/peter.sonntagbauer
at.linkedin.com/in/petersonntagbauer
Sonntagbauer, Peter
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33. THANK YOU
FOR YOUR ATTENTION
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