eScience, Education and Knowledge Management

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What Knowledge Management can learn from eScience & Education

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eScience, Education and Knowledge Management

  1. 1. What Knowledge Managementcan learn fromeScience & Education<br />Knowledge and the management of knowledge<br />Dr. L.A. Plugge<br />
  2. 2. Competing and Collaborating for the Future<br />2<br />You have added much several ways.<br />If I have seen further, it is by standing on the shoulders of Giants.<br />Written by Isaac Newton in a letter to Robert Hooke, <br />5 feb. 1676<br />
  3. 3. Topics<br />SURF as facilitatorand innovator foreducationand research<br />What is knowledge?<br />What is Knowledge Management (not)?<br />Academicknowledgestrategy<br />How ICT changes research and education<br />3<br />
  4. 4. SURF<br />SURF is the higher education and research partnership organization for network services and information and communication technology (ICT).<br />SURF participants:<br />14 universities<br />45 universities for professional education<br />5 research institutions<br />
  5. 5. SURF – innovation & services<br />5<br />
  6. 6. Scientific Technical Council (WTR)<br />Independent Council of SURF<br />12 Council members (max)<br />Appointed on personal merits <br />Term 3 years (extension possible)<br />Provides advice for SURF and its member institutions, either on request or on its own initiative<br />www.surf.nl/wtr<br />
  7. 7. InnovationMethod (1)<br /><ul><li>Provide vision in 4-year Strategic Plan</li></ul>(Scientific Technical Council)<br /><ul><li> Commitment of the institutions for HE.</li></ul>Membership fees<br /><ul><li> Execute the Strategic Plan, </li></ul>Based on Policy Considerations of the Government<br /><ul><li> Monitor and assess progress of innovation projects</li></ul>(Project Monitoring Committee)<br />7<br />
  8. 8. InnovationMethod (2)<br />Life cycle phases<br />2<br />3<br />4<br />5<br />1<br />Technological<br />scouting<br />Services<br /> develop-ment<br />Assessment<br />studies<br />Production<br />Marketing<br /> Fasing<br />out<br />Technological<br />development<br />Client<br />needs<br />Inventory<br />Client needs<br />External Developments<br />Plan for TA<br />Business case<br /> Business plan<br />Marketing plan<br />Plan<br />Fasing out<br />service<br />Plan<br />termination<br />service<br />Feedback<br />8<br />
  9. 9. Areas of competitionandcollaboration<br />Processes to outperform the competition<br />Provide future<br />Required competences<br />Essential and uniqueto the organization type<br />Common industry processes<br />Edwards & Peppard<br />Cranfield School of Management<br />9<br />
  10. 10. Strategic Plans of SURF since 1986<br />1986-1990 To a common network: SURFnet 1 - 9.6 Kbit/sec<br />1991-1994 Communication services, Software Licences<br />1995-1998 Innovation of administrative systems in institutions<br />1999-2002 Innovation in Education<br />2003-2006 Cooperation between institutions in administrative systems<br />2007-2010 Services Oriented Approach<br />2011-2014 (Cloud) infrastructure and services for education & research<br />10<br />10<br />
  11. 11. Topics<br />SURF as facilitatorand innovator foreducationand research<br />What is knowledge?<br />What is Knowledge Management (not)?<br />Academicknowledgestrategy<br />How ICT changes research and education<br />11<br />
  12. 12. Mathieu Weggeman<br />12<br />
  13. 13.
  14. 14. 14<br />
  15. 15.
  16. 16. In other words:<br />Knowledge is constructed and represented in our brain.<br />The question is <br />Can we represent knowledge<br />outside our brain?<br />Do documents containknowledge?<br />
  17. 17. 17<br />Paper Disk<br />
  18. 18. Goal of knowledge representation<br />Securing knowledge, outside humans<br />Making it available to others<br />Making knowledge less scarce<br />Automate the creation of new knowledge<br />18<br />
  19. 19. Artificial Intelligenceandknowledge representation<br />
  20. 20. Knowledge representation in rule based expert systems<br />20<br />Inference<br />Engine<br />User<br />Interface<br />Rules<br />Facts<br />
  21. 21. Searle’s Chinese room<br />Part 3<br />Part 4<br />21<br />
  22. 22. The Paris Hilton Problem<br />
  23. 23. IBM’s Watson<br />The Match Day 1<br />
  24. 24. Some limitations ofknowledge systems<br />Knowledge is represented in symbols<br />Procedurele knowledge is represented in rules<br />Conceptualknowledge is represented data<br />“Brittleness”<br />“Halting” problem<br />“Grounding” problem<br />How todefine the knowledge boundaries?<br />24<br />
  25. 25. Knowledge representation in Neural Networks<br />25<br />
  26. 26. Current ‘knowledge representation’ still lacks:<br />(deep) Understanding<br />Creativity<br />Intuition<br />Fascination<br />Ingenuity / originality<br />Creativity<br />…<br />26<br />
  27. 27. Explicit and Implicit knowledge<br />Explicit knowledge<br />Can be coded<br />Transferable<br />Copyable<br />Implicit knowledge<br />Transferable, in principle…<br />27<br />
  28. 28. 28<br />depressive<br />14<br />2<br />13<br />7<br />agressive<br />chaotic<br />Implicit knowledge:Students versus Expertsdiagnosing patients<br />depressive<br />6<br />0<br />3<br />3<br />8<br />9<br />7<br />agressive<br />chaotic<br />
  29. 29. Explicit - Implicit<br />Implicitknowledge is just as important as explicit knowledge<br />Transfer of implicitknowledge takes time andphysicalpresence<br />Examplesfromlearning:<br />to drive a car<br />toplay a music instrument<br />howtoperform open heartsurgery<br />Breadbaking machine…<br />29<br />
  30. 30. Topics<br />SURF as facilitatorand innovator foreducationand research<br />What is knowledge?<br />What is Knowledge Management (not)?<br />Academicknowledgestrategy<br />How ICT changes research and education<br />30<br />
  31. 31. Knowledge managementis creating opportunitiesthrough strategies and practicesfor Knowledge Creationand Knowledge Transfer<br />
  32. 32. Nonaka’s & Takeuchi’s Theory on Knowledge Creation, 1995<br />
  33. 33. Knowledge exchange = Communication<br />Sound<br />Text<br />Video<br />Video & Sound<br />
  34. 34. What is the essence of<br />34<br />Lascaux (13 000 v. C.)<br />Library of Congress<br />
  35. 35. Knowledge management process<br />35<br />Create<br />Capture<br />Organise<br />Access<br />Use<br />Knowledge<br />Creation<br />Knowledge<br />Application<br />Knowledge Sharing<br />
  36. 36. Topics<br />SURF as facilitatorand innovator foreducationand research<br />What is knowledge?<br />What is Knowledge Management (not)?<br />Academicknowledgestrategy<br />How ICT changes research and education<br />36<br />
  37. 37. Academia and knowledge<br />Academia<br /><ul><li>the community of students and scholars</li></ul> engaged in higher education and research;<br /><ul><li>the cultural accumulation of knowledge, </li></ul> its development and transmission.<br />37<br />
  38. 38. Tony Hey, Stewart Tansley, and Krist in Tolle, The fourth paradigm, 2009<br />
  39. 39. Mathieu Weggeman<br />39<br />
  40. 40. Academic knowledge transfer (1)<br />40<br />revise<br />Hypothesis<br />Method<br />Results<br />Conclusions<br />publisher<br />submit<br />judge<br />produce<br />publish<br />Scientific<br />world<br />Reviewers<br />Research group / Individual<br />
  41. 41. Lineair view of scholarlycommunication<br />
  42. 42. Tony Hey, Stewart Tansley, and Krist in Tolle, The fourth paradigm, 2009<br />Back to the e-Science Paradigm<br />
  43. 43. Topics<br />SURF as facilitatorand innovator foreducationand research<br />What is knowledge?<br />What is Knowledge Management (not)?<br />Academicknowledgestrategy<br />How ICT changes research and education<br />43<br />
  44. 44. 44<br />
  45. 45. X-informatics & computational Xdata intensive science<br />25-50% of the experimental budgets are for SOFTWARE<br />
  46. 46. What is e-Science about?<br />e-Science is not a new scientific discipline but a new method of knowledge development and exchange<br />e-Science is a the set of tools and technologies required to support collaborative, networked science. <br />e-Science is about the multidisciplinary analysis of data<br />e-Science is infrastructure to empower scientists to do their research in faster, better and different ways<br />(Based on Hey 2006)<br />46<br />
  47. 47. eScience is facilitated by merging technologies<br />GT: grid technology<br />OGSA: open grid services architecture<br />WSDL: web service definition language<br />WSDM: web services distribution management<br />Bob Hertzberger<br />47<br />
  48. 48. Technology facilitates a knowledge driven research infrastructure<br />48<br />
  49. 49. The network<br />49<br />
  50. 50. Netherlands e-Science Center<br />50<br />
  51. 51. Providing the opportunity to share and reuse<br />Bob Hertzberger<br />51<br />
  52. 52. Sharing, using and contributing to infrastructure<br />Bob Hertzberger<br />52<br />
  53. 53. Development of new technology<br />Maturity<br />Hans Dijkman<br />53<br />
  54. 54. Effects of GigaPort NG Network innovation<br />Research<br />Pilots<br />Market<br />ICT-applications<br />Innovation effects<br />Effects on research<br />Generic ICT-application services<br />Network<br />infrastructure<br />GigaPort Next Generation Network Project<br />Effects telecommarket<br />Applied<br />innovation<br />Primairy effects GigaPort<br />Secundairy effects GigaPort<br />54<br />
  55. 55. Effects on consumer IT:the industrialization of IT<br /> Microsoft Data Center Chicago<br />Google Data Center Eemshaven<br />Ground floor: 56 containers<br />One container:  1800 to 2500 servers<br />>100.000 servers<br />55<br />
  56. 56. Levels of IT services<br />56<br />
  57. 57. f.e. 1423 Repositories worldwide holding over >20.9 Million items<br />Repository66.org Repository Maps<br />57<br />
  58. 58. …and an increasing number of Services…<br />58<br />
  59. 59. … provided by suppliers in the cloud.<br />59<br />
  60. 60. The Internet has become a nervous system connecting and augmenting our brains…<br />Scientific & Educational methods can help <br />Knowledge Management to create opportunities to use and expand our knowledge.<br />60<br />

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