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DISCOURSE CENTERED 
COLLECTIVE INTELLIGENCE PLATFORMS 
FOR SOCIAL INNOVATION 
International Workshop on URBAN LIVING LABS ...
COLLECTIVE INTELLIGENCE SPECTRUM 
Model of Collective Intelligence (CI): 
from sensing the environment, to interpreting it...
COLLECTIVE INTELLIGENCE SPECTRUM 
Model of Collective Intelligence (CI): 
from sensing the environment, to interpreting it...
Contested Collective Intelligence 
(De Liddo 2012) 
When tackling complex and contested problems: 
v there may not be one...
CONTESTED COLLECTIVE INTELLIGENCE FOR 
THE COMMON GOOD 
(Social, Visual and Ar gumentation-based CI) 
Citizen Voice 
Human...
WHAT ARE THE LIMITATIONS OF 
EXISTING WEB TECHNOLOGIES IN 
SOCIAL INNOVATION INITIATIVES?
PAIN POINT PRIORITIZATION OF COMMON SOCIAL MEDIA 
FOR DELIBERATION-BASED SOCIAL INNOVATION 
• Poor Commitment to Action 
•...
CATALYST’S TOOLS ECOSYSTEM 
Collaborative 
Knowledge 
Production 
Collaborative Web 
Annotation and 
Knowledge mapping 
St...
STRUCTURED ONLINE 
DISCUSSION AND 
ARGUMENTATION 
debatehub.net
COLLABORATIVE WEB 
ANNOTATION AND 
KNOWLEDGE MAPPING 
http://litemap.open.ac.uk
Internationalization 
to English and 
German 
Get the LiteMap 
bookmarklet 
Connect and Map out 
the key issues and 
argum...
CI DASHBOARD
WHAT ROLE OF TECHNOLOGIES IN 
SOCIAL INNOVATION INITIATIVES?
ROLE OF TECHNOLOGIES IN SOCIAL 
INNOVATION INITIATIVES 
Drivers (?) 
Enablers (?) 
Structural Elements of the 
Social Cont...
SOMETIMES SOCIO-DIGITAL INNOVATION IS 
NOT VALUABLE AT SCALES LARGER THEN 
THOSE AT WHICH IT OCCURS. 
HOW TO CAPTURE AND R...
HOW CAN WE TURN BIG DATA INTO 
REAL VALUE AT THE SMALL SCALE? 
(RATHER SCALING DOWN?) 
“The long tale of data: care about ...
IS CIVIC INTELLIGENCE ALWAYS 
POSSIBLE OR GRANTED WHEN SOCIO-DIGITAL 
INNOVATION OCCURS?
NO BUT WE CAN DESIGN CI FOR THE 
COMMON GOOD…
COLLECTIVE INTELLIGENCE WORKSHOP (London 
29-30 Sept 2014) 
#CI4CG Tweets – 
Visit: http://events.kmi.open.ac.uk/catalyst/
SPECIAL ISSUE AND NEXT CI4CG WORKSHOP AT 
C&T2015 27-30 JUNE 2015 (LIMERICK IRELAND) 
February 1st 2015 
http:// 
comtech....
HOW TO TRANSFORM SOCIO-DIGITAL 
INNOVATION INTO A collective learning 
process HAVING A PUBLIC/COLLECTIVE 
VALUE?
CARE FOR: 
- AWARENESS 
- USER EMPOWERMENT
COLLECTIVE INTELLIGENCE SPECTRUM 
Model of Collective Intelligence (CI): 
from sensing the environment, to interpreting it...
NEW TECHNOLOGIES TO SUPPORT 
DIALOGUES BETWEEN CITIZENS AND 
CITY INSTITUTIONS? 
Dialogue & Action 
Political Dialogue 
Ev...
GET INVOLVED 
Thanks! 
anna.deliddo@open.ac.uk 
Twitter: Anna_De_Liddo 
Follow us on Twitter 
@CATALYST_FP7 
Watch the Dem...
REFERENCES 
• De Liddo, A., & Buckingham Shum, S. (2014). New Ways of Deliberating Online: An Empirical Comparison of Netw...
Discourse Centered Collective Intelligence Platforms for Social Innovation
Discourse Centered Collective Intelligence Platforms for Social Innovation
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Discourse Centered Collective Intelligence Platforms for Social Innovation

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PPT presentation of the "URBAN LIVING LABS AS SOCIO-DIGITAL SPHERES FOR EXPERIMENTING GOVERNANCE"
International Workshop
Cities are more and more witnessing the emergence of innovation initiatives,
indifferently originated by top-down or bottom-up intentionality, that are being
observed and analysed as Urban Living Labs, i.e. socio-digital innovation ecosystems
made up of creative communities of people producing innovation at urban
level with the support of a number of methods and tools helping to co-create value
out of the experience of interaction between the citizen/customer and
private/public actors.
These Urban living Labs are activators of experiments of governance innovation
which include people, institutions, private actors, relationships, values, processes,
tools and physical or financial infrastructures, that could trigger, generate, facilitate
and catalyse innovation in the city. These are spheres for knowledge creation
within the city and differ for dimensions, scale of action, nature (top-down or
bottom-up), organizational structure, and also for the way in which the participants
acts and are represented. They are also heterogeneous for the space of action in
which they emerge and can be interrelated and connected by topics, contexts,
interests, practices, and level of maturity in many different ways.
In Urban Living Labs new governance modes and models are experimented,
where participants acts in several and not pre-defined ways, creating complex
organizations able to integrate hierarchical and horizontal structures and creating
specific spheres of action stimulating collective testing and learning. In these
environments, governance is experimented between formal and informal publicprivate-
people partnerships able to shape innovative dialogues between citizens
and city institutions.
In this perspective the workshop aims at investigating some questions:
1.What kind of organizations is shaped in Urban Living Labs?
2.How is governance modelled in Urban living labs?
3.How is governance experimented?
4.What level of institutionalization is opportune for the emerging governance?

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Discourse Centered Collective Intelligence Platforms for Social Innovation

  1. 1. DISCOURSE CENTERED COLLECTIVE INTELLIGENCE PLATFORMS FOR SOCIAL INNOVATION International Workshop on URBAN LIVING LABS AS SOCIO-DIGITAL SPHERES FOR EXPERIMENTING GOVERNANCE 19th November 2014, Politecnico di Milano, Milano, Italy Election Debate Visualization Anna De Liddo Research Fellow, Knowledge Media Institute, Open University, UK
  2. 2. COLLECTIVE INTELLIGENCE SPECTRUM Model of Collective Intelligence (CI): from sensing the environment, to interpreting it, to generating good options, to taking decisions and coordinating action... Collec&ve( Ac&on( Collec&ve( Decision( Collec&ve( Idea&on( Collec&ve( Sensemaking( Collec&ve( Sensing(( (
  3. 3. COLLECTIVE INTELLIGENCE SPECTRUM Model of Collective Intelligence (CI): from sensing the environment, to interpreting it, to generating good options, to taking decisions and coordinating action... Collec&ve( Ac&on( Collec&ve( Decision( Collec&ve( Idea&on( Collec&ve( Sensemaking( Collec&ve( Sensing(( (
  4. 4. Contested Collective Intelligence (De Liddo 2012) When tackling complex and contested problems: v there may not be one worldview, or clear option v evidence can be ambiguous or of dubious reliability requiring the construction of plausible, possibly competing narratives; v growth in intelligence results from learning, which is socially constructed through different forms of discourse, such as dialogue and debate.
  5. 5. CONTESTED COLLECTIVE INTELLIGENCE FOR THE COMMON GOOD (Social, Visual and Ar gumentation-based CI) Citizen Voice Human Dynamics of Engagements Online Deliberation Collective Intelligence Analytics, & Visualization Crowdsourcing ideas, arguments and facts Structured Discourse and Argumentation Democratic entitlements New class of Online Deliberation tools Social Innovation Computational Services & Dialogic Agents
  6. 6. WHAT ARE THE LIMITATIONS OF EXISTING WEB TECHNOLOGIES IN SOCIAL INNOVATION INITIATIVES?
  7. 7. PAIN POINT PRIORITIZATION OF COMMON SOCIAL MEDIA FOR DELIBERATION-BASED SOCIAL INNOVATION • Poor Commitment to Action • Poor Summarization • Poor Visualization Very High • Lack of Participation • Poor Idea Evaluation • Shallow Contribution High • Cognitive Clutters • Lack of Innovation Moderate • Platform Island and Balkanization • Non-representative decisions Minor
  8. 8. CATALYST’S TOOLS ECOSYSTEM Collaborative Knowledge Production Collaborative Web Annotation and Knowledge mapping Structured Online Discussion and Argumentation Social Network Analysis and Visualization Advanced Analytics for: Attention mediation & Deliberation diagnostic
  9. 9. STRUCTURED ONLINE DISCUSSION AND ARGUMENTATION debatehub.net
  10. 10. COLLABORATIVE WEB ANNOTATION AND KNOWLEDGE MAPPING http://litemap.open.ac.uk
  11. 11. Internationalization to English and German Get the LiteMap bookmarklet Connect and Map out the key issues and arguments visually with LiteMap Harvest, annotate and classify contributions from the Utopia’s discussion 1 2 3
  12. 12. CI DASHBOARD
  13. 13. WHAT ROLE OF TECHNOLOGIES IN SOCIAL INNOVATION INITIATIVES?
  14. 14. ROLE OF TECHNOLOGIES IN SOCIAL INNOVATION INITIATIVES Drivers (?) Enablers (?) Structural Elements of the Social Context (?)
  15. 15. SOMETIMES SOCIO-DIGITAL INNOVATION IS NOT VALUABLE AT SCALES LARGER THEN THOSE AT WHICH IT OCCURS. HOW TO CAPTURE AND RECOGNIZE THOSE THAT HAVE A HIGHER LEVEL VALUE? (SCALING UP)
  16. 16. HOW CAN WE TURN BIG DATA INTO REAL VALUE AT THE SMALL SCALE? (RATHER SCALING DOWN?) “The long tale of data: care about the “small data of ordinary life”: form local bus timetables to squash club league tables (Alan Dix CALRG Seminar 2014)
  17. 17. IS CIVIC INTELLIGENCE ALWAYS POSSIBLE OR GRANTED WHEN SOCIO-DIGITAL INNOVATION OCCURS?
  18. 18. NO BUT WE CAN DESIGN CI FOR THE COMMON GOOD…
  19. 19. COLLECTIVE INTELLIGENCE WORKSHOP (London 29-30 Sept 2014) #CI4CG Tweets – Visit: http://events.kmi.open.ac.uk/catalyst/
  20. 20. SPECIAL ISSUE AND NEXT CI4CG WORKSHOP AT C&T2015 27-30 JUNE 2015 (LIMERICK IRELAND) February 1st 2015 http:// comtech.communit y/
  21. 21. HOW TO TRANSFORM SOCIO-DIGITAL INNOVATION INTO A collective learning process HAVING A PUBLIC/COLLECTIVE VALUE?
  22. 22. CARE FOR: - AWARENESS - USER EMPOWERMENT
  23. 23. COLLECTIVE INTELLIGENCE SPECTRUM Model of Collective Intelligence (CI): from sensing the environment, to interpreting it, to generating good options, to taking decisions and coordinating action... Collec&ve( Ac&on( Collec&ve( Decision( Collec&ve( Idea&on( Collec&ve( Sensemaking( Collec&ve( Sensing(( (
  24. 24. NEW TECHNOLOGIES TO SUPPORT DIALOGUES BETWEEN CITIZENS AND CITY INSTITUTIONS? Dialogue & Action Political Dialogue Evidence Based Dialogue Local Dialogue & Geo-Deliberation Object Oriented Dialogue
  25. 25. GET INVOLVED Thanks! anna.deliddo@open.ac.uk Twitter: Anna_De_Liddo Follow us on Twitter @CATALYST_FP7 Watch the Demos on Youtube CATALYST FP7 http://kmi.open.ac.uk/people/member/anna-de-liddo
  26. 26. REFERENCES • De Liddo, A., & Buckingham Shum, S. (2014). New Ways of Deliberating Online: An Empirical Comparison of Network and Threaded Interfaces for Online Discussion. In E. Tambouris, A. Macintosh, & F. Bannister, Lecture Notes in Computer Science (Vol. 8654, pp. 90– 101). Springer. • De Liddo, A. (2014). “Enhancing Discussion Forum with Combined Argument and Social Netwrok Analytics. In Okada, A., Buckingham Shum, S. and Sherborne, T., (Eds) Knowledge Cartography. Springer. Second Edition. In press. • De Liddo, A. and Buckingham Shum, S. (2013) The Evidence Hub: Harnessing the Collective Intelligence of Communities to Build Evidence- Based Knowledge, Workshop: Large Scale Ideation and Deliberation at 6th International Conference on Communities and Technologies, Munich, Germany • De Liddo, A., Sándor, Á. and Buckingham Shum, S. (2012) Contested Collective Intelligence: Rationale, Technologies, and a Human- Machine Annotation Study, Computer Supported Cooperative Work (CSCW) Journal : Volume 21, Issue 4 (2012), Page 417-448 • Buckingham Shum, Simon (2008). Cohere: Towards Web 2.0 Argumentation. In: Proc. COMMA'08: 2nd International Conference on Computational Models of Argument, 28-30 May 2008, Toulouse, France. Available at:http://oro.open.ac.uk/10421/ • De Liddo, Anna and Buckingham Shum, Simon (2010). Cohere: A prototype for contested collective intelligence. In: ACM Computer Supported Cooperative Work (CSCW 2010) - Workshop: Collective Intelligence In Organizations - Toward a Research Agenda, February 6-10, 2010, Savannah, Georgia, USA. Available at: http://oro.open.ac.uk/19554/ • Buckingham Shum, Simon and De Liddo, Anna (2010). Collective intelligence for OER sustainability. In: OpenED2010: Seventh Annual Open Education Conference, 2-4 Nov 2010, Barcelona, Spain. Available at: http://oro.open.ac.uk/23352/ • Buckingham Shum, Simon (2007). Hypermedia Discourse: Contesting networks of ideas and arguments. In: Priss, U.; Polovina, S. and Hill, R. eds. Conceptual Structures: Knowledge Architectures for Smart Applications. Berlin: Springer, pp. 29–44.

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