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Koios - Collective Intelligence and Crowd sourcing for public good


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Koios the systemic solution factory is a platform under development.

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Koios - Collective Intelligence and Crowd sourcing for public good

  1. 1. Solving the world’s problems just got easierCollective intelligence and Crowd Sourcing for Public Good Roy Lachica, March 2012
  2. 2. The world is a wonderful place
  3. 3. …but we also face manychallenges 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. 4. Results of world problems• Noise, mess, wasted time• Lower quality of life• Less social development• Slows down scientific development• Conflicts, suffering, death
  5. 5. The grand challengeHow can we solve more problems?Our approach: Collective Intelligence
  6. 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. 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. 8. 100 million people around the world are playing online games1 billion hours a week spent on gaming.1 billion hours is a lot of brain power.
  9. 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. 10. Introducing KoiosPurpose• 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. 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 studiesSemantic Web Scenario planning Virtual Systemic Inquiry Forecasting Social networking Analytic Problem Solving Causal loops modeling Web 3.0
  12. 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. 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. 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. 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. 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. 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. 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. 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. Whats 2. Whats 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. 20. Benefits of one central site (• 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. 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. 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 dont have time to work on the problem someone else can easily take over.
  23. 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. 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 enableonline 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. 25. Solving problems online on a mass scale requires something newTypical 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 systemsSystemic 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. 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. 27. ChallengesCurrent 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. 28. Current statusAs 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. 29. The solution factoryJoin us create a revolutionary problem solving platform! LachicaE-mail: roy@hyposoft.noLinkedIn: