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Solving the world’s problems
                  just got easier

Collective intelligence and Crowd Sourcing for Public Good
                Roy Lachica, March 2012
The world is a wonderful place
…but we also face many
challenges on many levels

•   Global problem:          Climate change
•   Regional problem:        Water distribution along the Nile river
•   National problem:        Corruption in government
•   District problem:        Poor education level
•   County problem:          Location of energy grid power cables
•   Municipality problem:    Vandalism in our municipality
•   City problem:            Segregation of minority groups
•   Town problem:            Tourism is killing our town
•   Neighbourhood problem:   Drug dealers in our neighbourhood
Results of world problems

•   Noise, mess, wasted time
•   Lower quality of life
•   Less social development
•   Slows down scientific development
•   Conflicts, suffering, death
The grand challenge

How can we solve more problems?
Our approach: Collective Intelligence
Cognitive surplus       - Clay Shirky



•   Surfeit of intellect since world war 2 (Improved education and more free time).
•   But little impact on the common good.
•   The average American watches more than 4 hours of TV each day.
•   We consume TV passively, in isolation.
The rise of the Internet

•   New media allow us to pool our efforts.
•   The potential impact of cognitive surplus is enormous.
•   Wikipedia was built out of roughly 1 percent of the man-hours that Americans
    spend watching TV every year.
100 million people around the
   world are playing online games

1 billion hours a week spent on gaming.
1 billion hours is a lot of brain power.
What if 1% of these instead participated in
  solving real world problems.
That would amount to 10 million hours of
   problems solving a week
Introducing Koios

Purpose
•   To solve more problems in the world.


Goal
•   To develop a free open web based service for anyone to
    collaborate on solving difficult social problems.


Guiding principles
•   Help bring about direction change where needed.
•   Strengthen democracy and empower people.
•   Engage and inspire people to become more active in society.
•   Increase diversity in science.
•   Promote critical thinking and analysis.
•   Complement the work of experts and researchers.
Is about           Awareness
                                                                      Deliberation
      What is it?          Citizen Science                                           Openness
                                                            Solutions
      Collaboration platform             Crowd sourcing                    Empowerment

   Contest          Collective Intelligence

              Systemic Innovation                         Tools and methodologies
                               Knowledge Federation                                   System Dynamics
                                                                Systems thinking
                                                                                  Root cause analysis
           Social media                                 Action research
                                                                            Stakeholder analysis
 Technology                                                     Group dynamics and conflict analysis
                                              Futures studies
Semantic Web                                                                      Scenario planning
                          Virtual Systemic Inquiry
                                                                    Forecasting
    Social networking
                                         Analytic Problem Solving
                                                                        Causal loops modeling
 Web 3.0
Free and Open

•   Designed for openness and transparency.
•   Openness fosters engagement.
•   Transparency improves quality.
•   With engagement and quality comes more efficient
    problem solving.
Examples of Collective Intelligence


 Innocentive - Open innovation and crowdsourcing pioneer that enables
 organizations to solve their key R&D problems by connecting them to problem
 solvers around the world.



 Open Ideo - Open innovation platform where organizations can post social
 challenges. Focus is on ideas for the design of solutions for social good.



 Koios - Open systemic innovation platform for difficult problems. Koios goes
 further by letting users analyze and solve complex social problems online.
 Problems can be posted by anyone.
Timing
•   In 2010, there were 1.8 billion Internet users.
•   In 2020, estimated five billion Internet users.
•   3 billion more Internet users in the years to come.
     •   More Internet users will want online services
         with a purpose.
     •   More Internet users will want more intellectually
         rewarding online activities.
What type of problems is it for?

Difficult social problems
•   Knowledge is incomplete.
•   The causes of the problem are uncertain.
•   Decisions of others are unpredictable.
•   The possible solutions are uncertain.
•   Solutions require multi-criteria decisions including moral and ethical
    considerations.
•   Future external factors that may influence the situation are uncertain.
•   Behavior and values of the people involved are in dispute.
•   The best ways to measure or monitor solutions are uncertain.
Who is it for?
•   Anyone who wants to solve difficult social problems.
•   Designed to be used together by
     •   Experts (Analysts, professionals, researchers)
     •   Stakeholders (People affected by the problem)
     •   Non-experts (All others who want to contribute)
Why is Koios needed?

•   World problems and cognitive surplus
     Millions of individuals around the world would like to solve problems but
     never get started.
     • Don’t know how to get started.
     • Lack infrastructure, tools, knowledge, best
       practices, methodologies, strategies, processes and network.


• We need more effective problem solving
     Many problem solvers only tackle symptoms of problems rather than the
     root causes. Koios helps you find root causes and key leverage points.
How does it work

•   You get tools to work on the problem.
•   You follow a structured workflow process.
•   You collaborate with others.
•   You can organize in groups and delegate tasks.
•   You define roles and divide work between members.
Problem solving cycles
                                                                                                                           2. Map the
                                                                                                1. Define
                                                                                                                            situation
                                                                                                   the
         1. Learn about                                                                                                       (Data
                                     2. Be inspired                                             problem
          the problem                                                                                                      gathering)
                                                        Decide to do join in
                                                         problem solving
                          Discover
                          problem
                                                                                                                                        3. Uncover behavior
                         3. Get                                           7. Modeling                                                   (Track variables and
                     motivated to do                                                                                                     events over time)
                                                                                                              Understand
                       something
                        about it                                                                               problem
                                                            New knowledge
                                                            about the
                                                            problem
                                                                                                                                        4. Make
                                                                                   6. Root
                 1. Define                                                                                                               future
                                                  2. Plan                           cause
                   goals                                                                                                              predictions
                                                                                   analysis
                                                                                                                                      (Scenarios)

                                                                                                            5. Stakeholder
                                                                                                                analysis
                                                                                                                                              Problem is
                                                                                                                                              understood



 6. Evaluate                     Solve                            3. Team                                          1. What's               2. What's
 and report                                                     assessment                                          already                 beeing
                                problem
                                                                                                                     tried?                  done?


                                                                                                                               Find
                                                                                                            5. Evaluate,     solutions           3. Define
                                                     4.                                                      rank and                           criteria for
                 5. Change,
                                             Implementation                    Feasible solutions are        decide on                           solution
                  capacity
                                               (Monitoring,                     found and accepted
                                                                                                             solutions                           selection
               development,
                                                project and
               organizational
                                                stakeholder
                  learning                                                                                                     4. Design
                                              management)
                                                                                                                               solutions
Benefits of one central site (Koios.org)

•   Easier to get started.

•   Easier to share and reuse data and knowledge.

•   Easier to attract new and diverse collaborators.

•   Easier to find problems you are interested in.

•   Easier for people who contribute on several problems.

•   All-in-one coherent solution. Avoid fragmentation and poor usability.

•   Less noise with a single unified feed of news, alerts and notifications.
Benefits for non-experts
•   Easy to use.
•   Large community of problem solvers that can assist and give feedback.
•   Verifiability, confidence and reviewing features helps to provide quality.
•   Progressive user interface and content presentation so you are not
    overwhelmed when you start out.
•   Learning material and mentoring features help you improve.
•   Built in policies, checklists and workflows helps you to think objectively, to
    avoid bias and unsound judgment.
•   Find likeminded and expand your network.
•   Unified interface with integrated tools so you do not have to learn many tools
    or jump between different tools.
•   More fun because of a reward system with points, leader boards and badges .
•   Faster for new members to get up to date on existing problem spaces because
    of statuses, summaries, and key insight listings.
Benefits for professionals
•   More coordinated problem solving for large distributed projects.
•   Access to manpower to help with simple tasks.
•   Establish projects and attract contributors faster.
•   Options for more effective review and feedback.
•   More effective as everyone can multi-task and work in parallel.
•   More options to get new ideas when progress has halted.
•   Effective project management. Built in tools for managing your team.
•   Process improvement framework is built into the system.
•   If you don't have time to work on the problem someone else can
    easily take over.
Future benefits

•   The repository of existing solutions can be reused on similar problems.
•   A semantic data layer makes data accessible as web services/API’s and
    queryable by remote systems to allow for Science 2.0 / Science grid /Linked
    open data integration scenarios.
•   More data helps to discover patterns, see new relations and deduce new
    insights.
•   More holistic problem solving by connecting the work of thousands.
•   Historical user data can provide valuable information on how problem solvers
    work. This can be used in science to evolve the fields of problem solving.
Why has it not been done before?

Not possible until know. At least not in a usable form.


Several technological leaps have converged to enable
online Collective Intelligence
•   Web standards have evolved (HTML5+CSS3).
•   Faster web browsers.
•   More open source software components.
•   More computing power.
•   The Semantic Web.
•   Cloud computing.
Solving problems online on a mass scale requires something new

Typical inadequate Web2.0 tools:
• Wikis
• Forums
• Chat, micro blogging (twitter)
• Blogs
• Social network platforms (NING, facebook, LinkedIn)
• Question and Answer sites (Yahoo answers, stack exchange)
• Expert systems

Systemic problem solving requires:
• Research                              •   Persistence
• Insight                               •   Analysis
• Creativity                            •   Peer review and multiple points of view
• Coordinated effort                    •   Thoughtful reflection
• Collaboration                         •   Verifiability
• Crowd sourcing                        •   Problem solving process
• Critical thinking                     •   Ownership through stakeholder
                                            participation and transparency
Underlying theory of Koios

•   Soft Systems Methodology    •   Online Communities and           •   Online dispute resolution
                                    Sociability                          handling (ODR/ADR)
•   Soft Operations Researc.
                                •   Virtual learning communities.    •   Semantic Web, Ontology
•   Complex societal problems                                            engineering
    research                    •   Knowledge                        •   Societal Complexity
                                    Federation, Polyscopy
•   Decision theory                                                  •   Knowledge Management
                                •   Collaborative Inquiry
•   Systems Thinking                                                 •   Community building
                                •   Virtual Systemic Inquiry (VSI)   •   Semantic Web
•   System Dynamics
                                •   Cognitive Science                •   Systemics, Systems
•   Action research             •   UX/HCI/ID/IA                         science, Systems
                                                                         engineering
•   Analytic techniques         •   Hypermedia discourse
                                                                     •   Visual thinking
•   Complex Social Messes       •   Computer Supported
                                    Cooperative Work                 •   Creative problem solving
•   Morphological Analysis                                           •   Evolutionary
                                •   Computer-supported
•   Community building              collaborative argumentation          systems, Complex
                                                                         Adaptive Systems
•   Sense Making                •   Logical positivism
                                                                     •   Game theory
                                •   Robustness analysis
•   Strategic choice approach                                        •   Strategic options
                                                                         development and analysis
Challenges

Current                                       Anticipated
•   Research and conceptual design process    •   Ethical, political, legal, social
    of multidisciplinary project                  considerations.
•   Designing intuitive concept everyone      •   Tackle spam, trolls etc.
    understands.
                                              •   Minimize information overload.
•   Minimize cognitive load.
                                              •   How to motivate user
•   How to support both experts and non-          participation.
    experts.
                                              •   Minimize noise.
•   Flexibility vs. usability.
                                              •   Competition vs. Collaboration.
•   Support different problem domains, both
                                              •   Ensure quality of users'
    small and large problems.
                                                  contributions.
•   Streamline problem-solving as an online
    collaborative activity.
•   Scaling for massive amounts of data.
Current status

As of March 2012
•   Ongoing feasibility study.
•   Research and development.
•   Open Alpha testing.
•   Project led by Roy Lachica with the help of volunteers.
•   In 2011 received funding by the Norwegian Government
     Norwegian Ministry of Government Administration, Reform and Church Affairs
     Through the Nettskap2.0 program
The solution factory

Join us create a revolutionary
   problem solving platform!

     http://koios.org/Info/JoinUs/


Contact
Roy Lachica
E-mail:     roy@hyposoft.no
LinkedIn:   http://www.linkedin.com/in/roylachica
Twitter:    http://twitter.com/roylac

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Koios - Collective Intelligence and Crowd sourcing for public good

  • 1. Solving the world’s problems just got easier Collective intelligence and Crowd Sourcing for Public Good Roy Lachica, March 2012
  • 2. The world is a wonderful place
  • 3. …but we also face many challenges on many levels • Global problem: Climate change • Regional problem: Water distribution along the Nile river • National problem: Corruption in government • District problem: Poor education level • County problem: Location of energy grid power cables • Municipality problem: Vandalism in our municipality • City problem: Segregation of minority groups • Town problem: Tourism is killing our town • Neighbourhood problem: Drug dealers in our neighbourhood
  • 4. Results of world problems • Noise, mess, wasted time • Lower quality of life • Less social development • Slows down scientific development • Conflicts, suffering, death
  • 5. The grand challenge How can we solve more problems? Our approach: Collective Intelligence
  • 6. Cognitive surplus - Clay Shirky • Surfeit of intellect since world war 2 (Improved education and more free time). • But little impact on the common good. • The average American watches more than 4 hours of TV each day. • We consume TV passively, in isolation.
  • 7. The rise of the Internet • New media allow us to pool our efforts. • The potential impact of cognitive surplus is enormous. • Wikipedia was built out of roughly 1 percent of the man-hours that Americans spend watching TV every year.
  • 8. 100 million people around the world are playing online games 1 billion hours a week spent on gaming. 1 billion hours is a lot of brain power.
  • 9. What if 1% of these instead participated in solving real world problems. That would amount to 10 million hours of problems solving a week
  • 10. Introducing Koios Purpose • To solve more problems in the world. Goal • To develop a free open web based service for anyone to collaborate on solving difficult social problems. Guiding principles • Help bring about direction change where needed. • Strengthen democracy and empower people. • Engage and inspire people to become more active in society. • Increase diversity in science. • Promote critical thinking and analysis. • Complement the work of experts and researchers.
  • 11. Is about Awareness Deliberation What is it? Citizen Science Openness Solutions Collaboration platform Crowd sourcing Empowerment Contest Collective Intelligence Systemic Innovation Tools and methodologies Knowledge Federation System Dynamics Systems thinking Root cause analysis Social media Action research Stakeholder analysis Technology Group dynamics and conflict analysis Futures studies Semantic Web Scenario planning Virtual Systemic Inquiry Forecasting Social networking Analytic Problem Solving Causal loops modeling Web 3.0
  • 12. Free and Open • Designed for openness and transparency. • Openness fosters engagement. • Transparency improves quality. • With engagement and quality comes more efficient problem solving.
  • 13. Examples of Collective Intelligence Innocentive - Open innovation and crowdsourcing pioneer that enables organizations to solve their key R&D problems by connecting them to problem solvers around the world. Open Ideo - Open innovation platform where organizations can post social challenges. Focus is on ideas for the design of solutions for social good. Koios - Open systemic innovation platform for difficult problems. Koios goes further by letting users analyze and solve complex social problems online. Problems can be posted by anyone.
  • 14. Timing • In 2010, there were 1.8 billion Internet users. • In 2020, estimated five billion Internet users. • 3 billion more Internet users in the years to come. • More Internet users will want online services with a purpose. • More Internet users will want more intellectually rewarding online activities.
  • 15. What type of problems is it for? Difficult social problems • Knowledge is incomplete. • The causes of the problem are uncertain. • Decisions of others are unpredictable. • The possible solutions are uncertain. • Solutions require multi-criteria decisions including moral and ethical considerations. • Future external factors that may influence the situation are uncertain. • Behavior and values of the people involved are in dispute. • The best ways to measure or monitor solutions are uncertain.
  • 16. Who is it for? • Anyone who wants to solve difficult social problems. • Designed to be used together by • Experts (Analysts, professionals, researchers) • Stakeholders (People affected by the problem) • Non-experts (All others who want to contribute)
  • 17. Why is Koios needed? • World problems and cognitive surplus Millions of individuals around the world would like to solve problems but never get started. • Don’t know how to get started. • Lack infrastructure, tools, knowledge, best practices, methodologies, strategies, processes and network. • We need more effective problem solving Many problem solvers only tackle symptoms of problems rather than the root causes. Koios helps you find root causes and key leverage points.
  • 18. How does it work • You get tools to work on the problem. • You follow a structured workflow process. • You collaborate with others. • You can organize in groups and delegate tasks. • You define roles and divide work between members.
  • 19. Problem solving cycles 2. Map the 1. Define situation the 1. Learn about (Data 2. Be inspired problem the problem gathering) Decide to do join in problem solving Discover problem 3. Uncover behavior 3. Get 7. Modeling (Track variables and motivated to do events over time) Understand something about it problem New knowledge about the problem 4. Make 6. Root 1. Define future 2. Plan cause goals predictions analysis (Scenarios) 5. Stakeholder analysis Problem is understood 6. Evaluate Solve 3. Team 1. What's 2. What's and report assessment already beeing problem tried? done? Find 5. Evaluate, solutions 3. Define 4. rank and criteria for 5. Change, Implementation Feasible solutions are decide on solution capacity (Monitoring, found and accepted solutions selection development, project and organizational stakeholder learning 4. Design management) solutions
  • 20. Benefits of one central site (Koios.org) • Easier to get started. • Easier to share and reuse data and knowledge. • Easier to attract new and diverse collaborators. • Easier to find problems you are interested in. • Easier for people who contribute on several problems. • All-in-one coherent solution. Avoid fragmentation and poor usability. • Less noise with a single unified feed of news, alerts and notifications.
  • 21. Benefits for non-experts • Easy to use. • Large community of problem solvers that can assist and give feedback. • Verifiability, confidence and reviewing features helps to provide quality. • Progressive user interface and content presentation so you are not overwhelmed when you start out. • Learning material and mentoring features help you improve. • Built in policies, checklists and workflows helps you to think objectively, to avoid bias and unsound judgment. • Find likeminded and expand your network. • Unified interface with integrated tools so you do not have to learn many tools or jump between different tools. • More fun because of a reward system with points, leader boards and badges . • Faster for new members to get up to date on existing problem spaces because of statuses, summaries, and key insight listings.
  • 22. Benefits for professionals • More coordinated problem solving for large distributed projects. • Access to manpower to help with simple tasks. • Establish projects and attract contributors faster. • Options for more effective review and feedback. • More effective as everyone can multi-task and work in parallel. • More options to get new ideas when progress has halted. • Effective project management. Built in tools for managing your team. • Process improvement framework is built into the system. • If you don't have time to work on the problem someone else can easily take over.
  • 23. Future benefits • The repository of existing solutions can be reused on similar problems. • A semantic data layer makes data accessible as web services/API’s and queryable by remote systems to allow for Science 2.0 / Science grid /Linked open data integration scenarios. • More data helps to discover patterns, see new relations and deduce new insights. • More holistic problem solving by connecting the work of thousands. • Historical user data can provide valuable information on how problem solvers work. This can be used in science to evolve the fields of problem solving.
  • 24. Why has it not been done before? Not possible until know. At least not in a usable form. Several technological leaps have converged to enable online Collective Intelligence • Web standards have evolved (HTML5+CSS3). • Faster web browsers. • More open source software components. • More computing power. • The Semantic Web. • Cloud computing.
  • 25. Solving problems online on a mass scale requires something new Typical inadequate Web2.0 tools: • Wikis • Forums • Chat, micro blogging (twitter) • Blogs • Social network platforms (NING, facebook, LinkedIn) • Question and Answer sites (Yahoo answers, stack exchange) • Expert systems Systemic problem solving requires: • Research • Persistence • Insight • Analysis • Creativity • Peer review and multiple points of view • Coordinated effort • Thoughtful reflection • Collaboration • Verifiability • Crowd sourcing • Problem solving process • Critical thinking • Ownership through stakeholder participation and transparency
  • 26. Underlying theory of Koios • Soft Systems Methodology • Online Communities and • Online dispute resolution Sociability handling (ODR/ADR) • Soft Operations Researc. • Virtual learning communities. • Semantic Web, Ontology • Complex societal problems engineering research • Knowledge • Societal Complexity Federation, Polyscopy • Decision theory • Knowledge Management • Collaborative Inquiry • Systems Thinking • Community building • Virtual Systemic Inquiry (VSI) • Semantic Web • System Dynamics • Cognitive Science • Systemics, Systems • Action research • UX/HCI/ID/IA science, Systems engineering • Analytic techniques • Hypermedia discourse • Visual thinking • Complex Social Messes • Computer Supported Cooperative Work • Creative problem solving • Morphological Analysis • Evolutionary • Computer-supported • Community building collaborative argumentation systems, Complex Adaptive Systems • Sense Making • Logical positivism • Game theory • Robustness analysis • Strategic choice approach • Strategic options development and analysis
  • 27. Challenges Current Anticipated • Research and conceptual design process • Ethical, political, legal, social of multidisciplinary project considerations. • Designing intuitive concept everyone • Tackle spam, trolls etc. understands. • Minimize information overload. • Minimize cognitive load. • How to motivate user • How to support both experts and non- participation. experts. • Minimize noise. • Flexibility vs. usability. • Competition vs. Collaboration. • Support different problem domains, both • Ensure quality of users' small and large problems. contributions. • Streamline problem-solving as an online collaborative activity. • Scaling for massive amounts of data.
  • 28. Current status As of March 2012 • Ongoing feasibility study. • Research and development. • Open Alpha testing. • Project led by Roy Lachica with the help of volunteers. • In 2011 received funding by the Norwegian Government Norwegian Ministry of Government Administration, Reform and Church Affairs Through the Nettskap2.0 program
  • 29. The solution factory Join us create a revolutionary problem solving platform! http://koios.org/Info/JoinUs/ Contact Roy Lachica E-mail: [email protected] LinkedIn: http://www.linkedin.com/in/roylachica Twitter: http://twitter.com/roylac

Editor's Notes

  • #30: Da vil jeg benytte anledningen til å stille dere noen spørsmål