(Presentation at the VU IMI and LIKS AI section seminar, 8th November 2013) Abstract: Social Project Management is a novel enhancement approach to project management based on social network. Social Project Management is defined as the effort of designing and executing research project, problem-solving tasks collaboratively by levering social networking. It aims at: – Exploiting weak ties between researchers and implicit research know-how to improve activity execution and improving of knowledge sharing and collective intelligence. – Increasing transparency and participation to the decision procedures, so as to raise awareness of the research processes and acceptance of the outcomes. – Involving (informal) communities in research execution, thus assigning the execution to a broader set of performers or to find most appropriate contributor within a group. We will present how social project management combines social networking, collective intelligence, and problem solving to increase the effectiveness of best practices. Current work on Collective Intelligence will be presented for the applicability of universal knowledge sharing inside social project management.

1. “ subject centric world ”
Collective Intelligence-based
Social Project Management
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2. Outline
 Background
 Collective Intelligence (CI) Concept
 Collective Intelligence Ecosystem
 CI-based social project management
 Conclusions and further steps
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3. Background
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4. Our Digital Life style
 Influencer
 The internet is an integral part of his/her life.
 Online voice.
 Communicator
 He/she just love talking and expressing him/herself
 Knowledge-seeker
 He/she use the internet to gain knowledge, information and to educate
him/herself
 Networker
 the internet is important for him/her to establish and maintain relationships.
 Aspirers
 He/she is looking to create a personal space online.
 Functional
 The internet is a functional tool but no social affiliation
 He/She is worried about data privacy and security.
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5. What is Collective Intelligence in one word ?
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6. How to define Collective Intelligence
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7. CI: How to understand a Universal Conversation
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8. Regional Interest for Collective Intelligence
since 2004
Google Insights - today
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10. Sciences of Collective Intelligence
 Scientific research on large-scale CI
 Coherent frameworks and methodologies for building
successful prototypes of complex CI systems
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12. Evolutionary Initiatives
 National contest on Collective Intelligence
 National call for CI projects (e.g. cluster initiative)
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14. CI: Process of social innovations
CI Initiative beginning
Coinitiating
cosensing
Deliberative democracy
Peer-to-peer and open source
Connecting to larger fields
copresencing
Co-evolving
Co-creating
Connecting to the
future that wants to
emerge
Embodying the new
in everyday practices
and infrastructures
Bringing it into reality
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16. Emergent technologies
Collaborative knowledge tool development & coordination
Degree of participation
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17. Collective Intelligence Services
CI
Services
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18. Ci Community Management
experts, project teams, end-users
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19. CI-based Social Project Management
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20. Knowledge triangle
Learning
by experience
Produral learning
Bloom (1957)
Gattegno (70s,80s)
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Entrepreneurship
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Research topics:
•Knowledge sharing
•Collective Intelligence
•Multi-lingual issues
•Smart entrepreneurship
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21. Entrepreneurship and Innovation
 Social network
 Network of partners
 Producers
 Community of users
 + Project management functions
 + Entrepreneurship functions
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22. Social functions
 Embedding project management into the
social-based entrepreneurship platform.
 Project issues to be “broadcast” to the
entire social network of the team, rather
than being confined within the project
team boundaries.
=> Important expertise from outside the
team can be brought to bear on the team’s
issues and opportunities.
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23. Social Project Management
5W1H
WHY
•
•
•
•
•
•
Faster Projects
Better Project Control Through Better
Project Plans
Better Project Results
Reliable Pre-Warning System
Motivated People
Entrepreneurship and Innovation
Assessments
WHO
Public and/or Private users
WHERE
Web 2.0 over internet
WHAT
Smart new entrepreneurship way of
planning and managing projects
WHEN
COMMUNIGRAM-NET Started in
Nov 2011
HOW
People, process and communicationoriented project management
Innovation assessment
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24. The 5 W’s of Innovative Communication
 Which Information ?
 Who with Who ?
 To Who ?
 When ?
Results / Outputs
Responsibilities
Communication Flow
Time (Gantt) Planning
All this needs to be planned and controlled!
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25. Which Information?
You can define detailed
checklists for each
deliverable to make sure
people know exactly what
the expected outcome is …
Deliverable for each task
(what to produce)
List of tasks
(what to do)
… and even add whole
documents explaining what
to do (e.g. list of duties), or
templates to fill out!
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26. Who with Who?
Responsibilities
Resources
(people)
Competencies
(roles)
Participants
One deliverable,
one responsible!
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27. When and to Who?
Client-Supplier Relationships
The Communication Flow:
Deliverables are transferred
by Suppliers to all Clients
needing this information for
their work
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28. myCommunigram:
Personalized cockpit
Personalized Communigram:
I’m the Yellow Column !
only my own work is shown
… plus that of all deliverable
suppliers and clients (grayed)
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29. Break down
business
objectives into a
hierarchy of
deliverables
Living
Project
plan
Clear objectives
Entrepreneurship
Ecosystem
Integrate ideas,
deliverables and
related
documentation
€
Engineer
business
communication
Find
departments,
competencies,
and people and
integrate them
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Up-to-date
Documentation
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Early-Warning
System
Dynamic
Deliverabl
e
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30. Learning by experience
loom/Anderson’s learning categories
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31. Enhancement of entrepreneurship ecosystem
Collective Intelligence
Semantic computing
Ontologies
Knowledge-creation project & Entrepreneurship
Knowledge-creation project & Entrepreneurship
knowledge assets
knowledge assets
Initiating
Closing
Entrepreneurship Entrepreneurship
Processes
Processes
Executing
Entrepreneurship
Processes
Planning
Entrepreneurship
Processes
Monitoring
&
Controlling Entrepreneurship
processes
Executing
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32. 3. COMMUNIGRAM-NET Model
Osterwalder & Pigneur: Business Model Generation, 2010
Partners
Competition
•Founders
•Participants
• public
• private
Core
Competences
•Collective
Intelligence
•Entrepreneurship
2.0
Existing Social
Networks
PM tools
Value Creation
•Business
development
•Innovation
development
Core innovation
Cost Structure
SPM platform
Infrastructure and
administration
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Custom.
Relationship
-SPM Network
-Conferences
-Trainings
Compet.
Advantage
•Tools
•Know-how
•Best practices
Market
Channels
• SaaS or Software
• Collaborative
Networking
Customers
Groups
•SPM users
•Public and private
organisations
Revenue Model
-PPP
-Research grants
-Private sector Memberships
-NGO „projects without border“
-Editorial activities
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33. 4 COMMUNIGRAM ROADMAP
 Nov 2011 – Oct 2014 (phase 1)
 COMMUNIGRAM-NET community
• NoE including more than 10 partners
 Communigram platform 4.xx
 Enhanced version every 6 months
• Agile cycle (scenario/use case, design, devpt, community
assessment, feedbacks)
• Science Marketing (TechAdvanceTM assessment for SPM)
(Munster
 ISO impacts and promotion
 ISO 21500 (TC 258)
 ISO 9241
 Usability
 Creativity enhancement
 Pedagogical/didactical issues
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34. CI-Communigram project
 Social network
 Network of partners, of contacts
 Producers
 Community of users
 + Project management functions
 + Digital content management functions
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35. Digital Content Organization
SPM Pool of resources
Classification process
Expert contributions
Charts
Maps
Documents
Photos
Ontologies
Videos
Notes
Letters
Sketches
Diagrams
Tables
From general …
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… to specific
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36. Semantic tagging(1/2)
 Our social network as support
 Category Tag (CT).
 This semantic tag represents the belonging of a Resources to a
Category. Tagging a resource by means of a CT defines the
name of the tag as identifier of the category and the Resource
as individuals which belongs to that category.
 Organisation of categories
 Property Tag (PT).
 This semantic tag describes a relationship between two
Resources.
 the name of the property types the relationship between the two
resources,
=> semantic navigation
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37. Semantic tagging (2/2)
 Attribute Tag (AT).
 This semantic tag describes a structural
attribute for a resource (the surface of a
room).
 It uses the label as name for the attribute
 It is related with a simple data type as a
number or a literal.
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38. Social Semantic ranking (1/2)
 Social Semantic ranking
 semantic relevance between a query term
and a unique tag tk of each resource, ri
 Tag usefulness
 Proportional to the number of times a
resources has been tagged with the same
term by different users
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39. Social Semantic ranking (2/2)
 Resource vector
 The square root of the sum of resource tag
weights greater than zero.
 Social semantic similarity
 With the query vector
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40. CI Initiative for CAPS:
Collaborative Intelligence clusters for Collective Awareness
Platforms for Sustainability and Social Innovation (CAPS)
Tools
CI Cluster
Sustainable
Sofware
CI cluster
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Health
CI Cluster
Content
CI Cluster
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41. Large scale data mining
Health
CI cluster
Knowledge Standardisation
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Language processing
Knowledge extraction
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42. Standardisation
 IFIP WG 12.7
 Social Networking Semantics and Collective
Intelligence
 Unified Service Description Language
 Community based harvesting for USDL
 ISO standardisation
 Topic Maps 13250
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43. References
 Toby Teragan
 Programming Collective Intelligence: Building Smart Web
2.0 Applications (2007)
 Satnam Alag
 Collective Intelligence in Action (2008)
 Hideyasu Sasaki, Dickson K.W. Chiu, Epaminondas Kapetanios
and Patrick C.K. Hung
 Intelligent and Knowledge-Based Computing for Business
and Organizational Advancements ( 2012)
 Pierre Lévy
 The Semantic Sphere: Computation, Cognition and
Information Economy (ISTE), 2011
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44. “ subject centric world ”
Contact: andres@nii.ac.jp
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