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Institutional Context
• We are people not buildings
• Too late?
• Club Penguin, Moshi Monsters, GenY
Outsource
• “Does Kmart ask MySpace to tell it what its customers buying patterns are?”
• “Is LinkedIn the way to build great researcher teams?”
Harvard Catalyst
http://catalyst.harvard.edu/home.html
Sakai Apps Framework
Academic Apps
Publications
ProfilesGroups
Colleagues
Collaboration
Sharing
Activity Data
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Gadget Container
Goo
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Gad
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Important Maxims
• Unbiased Observations.
• Original data.
• Analysis without expectations
• Uncertainty.
Example: Identifying Interests
User authors content
Content created event, is picked up by a processor, analyses and categorises the content based on word used, generating links to similar content.
U s e r s e e s r e l a t e d content, which authors are connected, which are not, offered to expand network of collaborators.
Content Created Event
Example: Identifying Behaviour
Usage And Activity
throughout the system
Normal ExpectationStudent A
Student has been identified as having erratic engagement with peers and the course. Mentors,
alerted that there may be an underlying cause.
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