Creating and Using Knowledge in a Digital Economy

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Today, I'd like to talk about how the transformation from an industrial society to an information society will affect science and technology – particularly in the Government of Canada. It’s not that the methods of science (hypothesis, experiment, proof) will change significantly, but more that the role of science will be different in the new society. The knowledge revolution presents both tremendous opportunities for S & T departments as well as significant challenges.

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Creating and Using Knowledge in a Digital Economy - Presentation Transcript

  1. Creating and Using Knowledge in a Digital Economy: NRCan in the 21st Century Information Management Day September 7, 2001 Albert Simard
  2. Opening Thoughts… “ Since it is axiomatic that a firm’s greatest asset is its knowledge, then the firm that fails to generate new knowledge will probably cease to exist.” Thomas Davenport (1998) “ In an economy where the only certainty is uncertainty, the one sure source of lasting competitive advantage is knowledge.” Ikujiro Nonaka (1998)
  3. Outline
    • Knowledge economy
    • Creating knowledge
    • Managing knowledge
    • Sharing knowledge
    • Using knowledge
  4. Challenges at the Dawn of the 21st Century Knowledge Economy Information Society Accelerating Change Career-Long Learning Merging Technologies Source: US National Science Foundation, 2001 Extended Organizations Global Connectivity Environmental Stewardship Finite Resources Sustainable Development
  5. Knowledge-Based Economy
    • Success based on what you know; not what you own
    • Value of goods based on knowledge content
    • Creating and using knowledge is the key
    • Internet runs two ways; Canada must participate
    • Organizations must change or become irrelevant
  6. Knowledge 101
    • Data - What are the Facts?
      • (observations and measurements)
    • Information - What do they mean?
      • (interpretation within a context)
    • Knowledge - How does it work?
      • (relations between things, cause & effect)
    • Wisdom - What should I do?
      • (experience and judgment)
  7. Knowledge Organization Using Knowledge Nature Internal Knowledge Creation External Knowledge Sharing Management Preservation Lost Knowledge
  8. Creating Knowledge Drivers (problems, issues, government) Organization (mandate, resources, culture) People (analyze, reason, decide) Content (facts, meaning, understanding) Systems (information processes) Technology (computers, communication) Value Process Production Stage Data Information Knowledge Application
  9. Creating Knowledge - Steps
    • Search for existing knowledge
    • Acquire content
    • Manage databases
    • Transform data into information
    • Synthesize new knowledge
    • Produce knowledge products
    • Disseminate knowledge products
    • Use knowledge to solve problems
  10. Creating Knowledge on the Web
    • Descriptive - program descriptions
    • Static - reports, publications
    • Updated - inventories, statistics
    • Dynamic - information systems
    • Interactive - decision-support systems
  11. Creating Knowledge is not Enough
    • Bell Labs: lasers
    • Xerox: graphical user interface, object-oriented programming, laser printer, Ethernet
    • IBM, DEC: mainframe/mini computers
    • CERN: World-Wide Web
    • Encyclopaedia Britannica: synthesizing knowledge
  12. KM Perspectives Escher - Relativity
  13. Knowledge Management
    • Capacity building
      • resources, infrastructure, content
    • Organizational context
      • governance, culture, learning
    • Integration
      • vertical, horizontal, external
  14. Discovery Search Engine
  15. NRCan Access to Knowledge Policy Desired general state Specific cost circumstances Specific restriction circumstances Specific cost and restriction circumstances Goal of proposed policy Restricted Unrestricted Access None High Cost
  16. Integrating Content
  17. KM Framework Knowledge Management Capacity Building Organizational Context Resources Infra - structure Co n tent Gover-nance Culture Learning Funds People Time Technology Systems Management Acquisition Production Dissemination Vision Direction Commitment Change Sharing Controlling Education Skills Experience
  18. Sharing Knowledge Agency 1 Information Agency 2 Information Internal flow regulators Internal flow regulators External flow regulators Attributes Technology Infrastructure
  19. Knowledge Flow Regulators
    • Context - issues, social, economic, nature
    • Institutional - organization, national, international
    • Content - domain, provider, user
    • Technology - computers, communication, networks
    • Infrastructure - interoperability, metadata, systems
  20. Science & Technology Cluster: A Business Model Supply (Providers) Demand (Users) Providers and users connect through an S&T Information Market
  21. The S&T Provider Face Provider Face Academia NGOs Private Sector Public Sector Government S&T organizations Universities, colleges, institutes, schools Businesses that share S&T Non-Government organizations interested in S&T
  22. The S&T User Face Public, educators, youth, seniors, media, communities Policy advisors, decision makers, regulators User Face Public Practitioners Policy Makers Business Businesses that need S&T for innovation and growth Scientists, managers, professionals, specialists
  23. All together now… Subjects About S&T Creating Knowledge Expertise Academia Public Institutions NGOs Business Public Practit ioners Policy Makers Provider Face User Face Private Sector
  24. S&T Cluster – Portal Context Business Services International Services Individual Services Sub-Portals Canada Site S&T Practitioners Policy Academic Public Institutions Canadians Other Related Clusters ENRFAH
  25. Just consider… Demand Face Public S&T Practitioners Policy & Regulation Makers Business Dorothy Jones, retired, gardener Gloria Weisman, environmental policy analyst Jean-Yves Paquette, Young entrepreneur Zachary (Zak) Walsh, 13, Mrs. Jones’s grandson budding scientist Haig Acterian, Forester
  26. Climate Data Jean-Yves Paquette, Young entrepreneur
  27. Analysis of Energy Project
  28. Canada - Land Cover Gloria Weisman, environmental policy analyst
  29. Threatened Species
  30. Soils of Canada
  31. Distribution of Black Spruce B) climate at 1.5 X CO 2 A) present climate 0 - 10% 11 - 20% 21 - 30% 31 - 40% 41 - 50% 51 - 60% 61 - 70% 71 - 80% 81 - 90% 91 - 100% X location of black spruce sites
  32. Digital Elevation Dorothy Jones, retired, gardener
  33. Plant Hardiness Zones of Canada
  34. Identifying an Insect Zachary (Zak) Walsh, 13, Mrs. Jones’s grandson budding scientist
  35. Weather Network Haig Acterian, Forester
  36. Fire-Danger Rating
  37. ASEAN System
  38. Real-Time Decision Support
  39. Satellite Monitoring
  40. Fire Modeling
  41. To Summarize
    • S&T have been “connected” for about four decades.
    • S&T are beginning to make their knowledge more useful.
    • Like an iceberg, Government On-Line represents only the visible tip of the total KM structure.
    • The vision of creating and managing knowledge looks beyond Electronic Service Delivery by 2004.
    • Two E-Clusters focus on creating as well as disseminating knowledge.
    • Innovation projects are beginning to be funded: (tactile maps, Digital Commons for Heritage, Ecosystems On-Line).
  42. Closing Thoughts… “ Knowledge of the universe would somehow be…defective were no practical results to follow.” Cicero (106-43 BC) Goods in any storehouse are useless until somebody takes them out and puts them to the use they were intended for. That applies to what man stores in his brain too. Tomas Watson (1874-1956) founder, IBM  

+ Albert SimardAlbert Simard, 3 years ago

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