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Crowdsourcing subjective perceptions of neighbourhood disorder: interpreting bias in Open Data (Réka Solymosi - University College London)

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This was presented by Réka Solymosi from University College London at the Impacts of Civic Technology Conference (TICTeC 2018) in Lisbon on 18th April 2018. You can find out more information about the conference here: http://tictec.mysociety.org/2018

Published in: Technology
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Crowdsourcing subjective perceptions of neighbourhood disorder: interpreting bias in Open Data (Réka Solymosi - University College London)

  1. 1. Fix My Street as an indicator for perception of disorder and neighbourhood guardianship Reka Solymosi @r_solymosi reka.solymosi@manchester.ac.uk
  2. 2. Crime Science • Concerned about the when and where, focus on situational factors • Could be applied to learn about people’s perceptions and experiences
  3. 3. New and emerging forms of data • Data from online interactions, tracking data, satellite and aerial imagery, …
  4. 4. So what can we do with all this data?
  5. 5. Measure of ambient population
  6. 6. What are people doing when they are generating these data?
  7. 7. An example: Fix My Street
  8. 8. FMS as a way to gain insight into experiences with signal disorder?
  9. 9. 0 10 20 30 40 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 percent incivility0 10 20 30 40 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 percent incivility
  10. 10. “…over flowing rubbish, street drinkers, litter in the street and rats.”
  11. 11. Motivated perceiver • Reflects routine activity of perceivers (rather than offenders) • Incivility is in the eye of the beholder
  12. 12. What’s in a name?
  13. 13. Gender • Anon: 66.8% • Male: 24.5% • Female: 8.6%
  14. 14. Neighbourhood(?) guardianship
  15. 15. CAUTION!
  16. 16. Mode of production • Involved/ interested citizens • Pareto principle (++)
  17. 17. Ethical consideration • Privacy/ surveillance • Data ownership • Data linkage • Implications of findings (service slanting)
  18. 18. Questions? @r_solymosi reka.solymosi@manchester.ac.uk

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