Datamining Location

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A lightning talk on the benefits and issues with location tracking. Key point: we are giving invaluable information away for very little in return. Is this good or bad? Discuss.

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  • This is my city, here is the council measuring traffic This doesn't scale. And while it can count traffic, it doesn't know where people come from, where they go,
  • June 5, 2010 HP Confidential 5 June 2010 HP Confidential
  • Datamining Location

    1. 1. NOBODY KNOWS HOW CITIES WORK
    2. 2. {found,"00:0E:ED:1E:66:59","2005-08-18T08:49:14+01:00"} {found,"00:12:62:2C:9E:E0","2005-08-18T08:49:44+01:00"} {lost, "00:0E:ED:1E:66:59","2005-08-18T08:49:59+01:00"} {lost, "00:12:62:2C:9E:E0","2005-08-18T08:50:29+01:00"} AUTOMATION SCALES BETTER
    3. 3. EVENTS => STATISTICS
    4. 4. <ul><li>Group into resident/commuter/student
    5. 5. Identify friends and social groups
    6. 6. Predict peak traffic/conflict points
    7. 7. Before/after testing of road changes
    8. 8. Understand why people move around </li></ul>OTHER ANALYSES
    9. 9. The aggregate movements of people round a city is an invaluable dataset
    10. 10. YET WE ARE GIVING THE DATA AWAY! GPS -> PHONE -> FACEBOOK -> ???
    11. 11. WHEN NOT OVERREACTING
    12. 12. <ul><li>Are we giving away the data too cheaply?
    13. 13. Who owns the aggregate data?
    14. 14. Who owns the individual traces?
    15. 15. What can we do with all the data? </li></ul>

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