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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
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(( 
(
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(( 
(
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.
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
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 
• 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
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
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 
arguments visually 
with LiteMap 
Harvest, annotate and 
classify contributions from 
the Utopia’s discussion 
1 
2 
3
CI DASHBOARD
WHAT ROLE OF TECHNOLOGIES IN 
SOCIAL INNOVATION INITIATIVES?
ROLE OF TECHNOLOGIES IN SOCIAL 
INNOVATION INITIATIVES 
Drivers (?) 
Enablers (?) 
Structural Elements of the 
Social Context (?)
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)
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)
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.communit 
y/
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, 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(( 
(
NEW TECHNOLOGIES TO SUPPORT 
DIALOGUES BETWEEN CITIZENS AND 
CITY INSTITUTIONS? 
Dialogue & Action 
Political Dialogue 
Evidence Based Dialogue 
Local Dialogue & Geo-Deliberation 
Object Oriented Dialogue
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
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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Discourse Centered Collective Intelligence Platforms for Social Innovation

  • 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. 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. 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. 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. 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. WHAT ARE THE LIMITATIONS OF EXISTING WEB TECHNOLOGIES IN SOCIAL INNOVATION INITIATIVES?
  • 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.
  • 9. 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
  • 10. STRUCTURED ONLINE DISCUSSION AND ARGUMENTATION debatehub.net
  • 11.
  • 12. COLLABORATIVE WEB ANNOTATION AND KNOWLEDGE MAPPING http://litemap.open.ac.uk
  • 13. 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
  • 15. WHAT ROLE OF TECHNOLOGIES IN SOCIAL INNOVATION INITIATIVES?
  • 16. ROLE OF TECHNOLOGIES IN SOCIAL INNOVATION INITIATIVES Drivers (?) Enablers (?) Structural Elements of the Social Context (?)
  • 17. 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)
  • 18. 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)
  • 19. IS CIVIC INTELLIGENCE ALWAYS POSSIBLE OR GRANTED WHEN SOCIO-DIGITAL INNOVATION OCCURS?
  • 20. NO BUT WE CAN DESIGN CI FOR THE COMMON GOOD…
  • 21. COLLECTIVE INTELLIGENCE WORKSHOP (London 29-30 Sept 2014) #CI4CG Tweets – Visit: http://events.kmi.open.ac.uk/catalyst/
  • 22. SPECIAL ISSUE AND NEXT CI4CG WORKSHOP AT C&T2015 27-30 JUNE 2015 (LIMERICK IRELAND) February 1st 2015 http:// comtech.communit y/
  • 23. HOW TO TRANSFORM SOCIO-DIGITAL INNOVATION INTO A collective learning process HAVING A PUBLIC/COLLECTIVE VALUE?
  • 24. CARE FOR: - AWARENESS - USER EMPOWERMENT
  • 25. 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(( (
  • 26. NEW TECHNOLOGIES TO SUPPORT DIALOGUES BETWEEN CITIZENS AND CITY INSTITUTIONS? Dialogue & Action Political Dialogue Evidence Based Dialogue Local Dialogue & Geo-Deliberation Object Oriented Dialogue
  • 27. 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
  • 28. 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.