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“ subject centric world ”
Collective Intelligence-based
Social Project Management
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Outline
 Background
 Collective Intelligence (CI) Concept
 Collective Intelligence Ecosystem
 CI-based social project management
 Conclusions and further steps
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Background
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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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What is Collective Intelligence in one word ?
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How to define Collective Intelligence
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CI: How to understand a Universal Conversation
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Regional Interest for Collective Intelligence
since 2004
Google Insights - today
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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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Evolutionary Initiatives
 National contest on Collective Intelligence
 National call for CI projects (e.g. cluster initiative)
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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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Emergent technologies
Collaborative knowledge tool development & coordination
Degree of participation
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Collective Intelligence Services
CI
Services
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Ci Community Management
experts, project teams, end-users
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CI-based Social Project Management
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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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Entrepreneurship and Innovation
 Social network
 Network of partners
 Producers
 Community of users
 + Project management functions
 + Entrepreneurship functions
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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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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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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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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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Who with Who?
Responsibilities
Resources
(people)
Competencies
(roles)
Participants
One deliverable,
one responsible!
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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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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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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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Learning by experience
loom/Anderson’s learning categories
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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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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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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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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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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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SPM
… to specific
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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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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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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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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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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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Large scale data mining
Health
CI cluster
Knowledge Standardisation
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Language processing
Knowledge extraction
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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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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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“ subject centric world ”
Contact: andres@nii.ac.jp
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