Karin Hansson: An E-­Participatory Map over Process Methods in Urban Planning

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Karin Hansson: An E-­Participatory Map over Process Methods in Urban Planning

  1. 1. Karin Hansson, Love Ekenberg, Göran Cars, Mats DanielsonDepartment of Computer and System Science, Stockholm UniversityAn e-participatory mapover process methodsin urban planning
  2. 2. Overview•  Background•  Theory•  Cases of participatory processes in urbanplanning•  An e-participatory map•  Conclusion and future development23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science
  3. 3. Research teamKarin Hansson, PhD student at Stockholm University &Royal Institute of ArtLove Ekenberg, Professor in Computer and SystemsSciences at Stockholm UniversityGöran Cars, Professor in Urban Planning at KTH, RoyalInstitute of TechnologyMats Danielson, Professor in Computer and SystemsSciences at Stockholm University+ 1 social scientists, 15 artists,2 programmers,4 partners23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science
  4. 4. Problems•  Contradictory or exaggerated expectations•  Lack of discussion of the concepts of democracy•  Lack of common language•  Technical determinism•  Lack of in-depth knowledge of citizen as e-participant23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science
  5. 5. Aim•  Support interdisciplinarity in the field of e-participation by establishing a general theory•  Provide means of visualising differences andclarifying representativeness in the participatoryprocess.23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science
  6. 6. MethodTo compare the planning processes and themethods used in eight urban development projectsin which members of our research team have beenactively involved as a researchers.The projects are not primarily “e”The aim is to understand participation, and todiscuss how ICT could be used to support.23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science
  7. 7. Democracy: beyond the stateWhen those affected by the decision-making also areinvolved in the decision-making.•  Agenda: How and by whom are problem defined?•  Participant: Who is part of the “state”?•  Method: How is participation enabled?23.05.13 / Karin Hansson, khansson@dsv.su.se, Department of Computer and System Science
  8. 8. Nacka Örebro water Upplands Väsby Husby Högalid Stockholm Central station Muskö Eco Village Stockholm transport ICT  supported  mul/-­‐criteria,  mul/-­‐stakeholder  decision  analysis  III  Surveys  II  Itera/ve  dialogue  process  /  Chare=e  II  Moderated  dialogues  with  stakeholders  II  Town  mee/ngs  II  Exhibi/ons  II  Online  tools  like  blogs,  twi=er  and  social  media  I  
  9. 9. Örebro WaterAGENDA: Set•  Problem defined by experts
  10. 10. Muskö eco villageAGENDA: Develops•  Takes place in local-global public sphere•  Initiated by NGO
  11. 11. Husby urban developmentAGENDA: Dominated•  Takes place in a public sphere•  Local counter-public
  12. 12. 23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science
  13. 13. Upplands Väsby urban developmentPARTICIPANTS: All•  Residents today or tomorrow?•  Local residents or everyone affected?
  14. 14. PARTICIPANTS: All or active•  All affected by the new village•  Active in the planning processMuskö eco village
  15. 15. Husby urban developmentPARTICIPANTS: Diverse•  Diverse opportunities to participate•  Local youth as ambassadors
  16. 16. 23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science
  17. 17. NackaMethod: Information•  Give people access to relevant information•  Multi-criteria, multi-stakeholder decision analysis
  18. 18. Husby urban developmentMethod: Discussion•  Town meetings, exhibitions, workshops•  ICT supports counter-publics
  19. 19. Husby urban developmentMethod: Visualization•  Need for methods that visualize and clarify thelack of representativeness in the data
  20. 20. Result23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science
  21. 21. An e-participatory mapPARTICIPANTSAGENDARepresentative Active Non representativeDominatedDevelopsSetMETHODServiceModerateVisualize23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science
  22. 22. ConclusionLack of methods to visualize representationThe e-participatory map:•  Sort out the project teams expectations•  Define common concepts•  Useful when mixing participatory methods•  Puts ICT in a wider participatory framework•  Clarify the process for participants23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science
  23. 23. Future development23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System SciencePARTICIPANTSAGENDARepresentative Active Non representativeDominatedDevelopsSetMETHODServiceModerateVisualize

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