1. Karin Hansson, Love Ekenberg, Göran Cars, Mats Danielson
Department of Computer and System Science, Stockholm University
An e-participatory map
over process methods
in urban planning

2. Overview
• Background
• Theory
• Cases of participatory processes in urban
planning
• An e-participatory map
• Conclusion and future development
23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science

3. Research team
Karin Hansson, PhD student at Stockholm University &
Royal Institute of Art
Love Ekenberg, Professor in Computer and Systems
Sciences at Stockholm University
Göran Cars, Professor in Urban Planning at KTH, Royal
Institute of Technology
Mats Danielson, Professor in Computer and Systems
Sciences at Stockholm University
+ 1 social scientists, 15 artists,2 programmers,4 partners
23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science

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-
participant
23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science

5. Aim
• Support interdisciplinarity in the field of e-
participation by establishing a general theory
• Provide means of visualising differences and
clarifying representativeness in the participatory
process.
23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science

6. Method
To compare the planning processes and the
methods used in eight urban development projects
in which members of our research team have been
actively involved as a researchers.
The projects are not primarily “e”
The aim is to understand participation, and to
discuss how ICT could be used to support.
23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science

7. Democracy: beyond the state
When those affected by the decision-making also are
involved 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

9. 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

10. Örebro Water
AGENDA: Set
• Problem defined by experts

11. Muskö eco village
AGENDA: Develops
• Takes place in local-global public sphere
• Initiated by NGO

12. Husby urban development
AGENDA: Dominated
• Takes place in a public sphere
• Local counter-public

13. 23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science

14. Upplands Väsby urban development
PARTICIPANTS: All
• Residents today or tomorrow?
• Local residents or everyone affected?

15. PARTICIPANTS: All or active
• All affected by the new village
• Active in the planning process
Muskö eco village

16. Husby urban development
PARTICIPANTS: Diverse
• Diverse opportunities to participate
• Local youth as ambassadors

17. 23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science

18. Nacka
Method: Information
• Give people access to relevant information
• Multi-criteria, multi-stakeholder decision analysis

19. Husby urban development
Method: Discussion
• Town meetings, exhibitions, workshops
• ICT supports counter-publics

20. Husby urban development
Method: Visualization
• Need for methods that visualize and clarify the
lack of representativeness in the data

21. Result
23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science

22. An e-participatory map
PARTICIPANTS
AGENDA
Representative Active Non representative
Dominated
Develops
Set
M
ETHOD
Service
M
oderate
Visualize23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science

23. Conclusion
Lack of methods to visualize representation
The e-participatory map:
• Sort out the project team's expectations
• Define common concepts
• Useful when mixing participatory methods
• Puts ICT in a wider participatory framework
• Clarify the process for participants
23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science

24. Future development
23.05.13 / Karin Hansson, khansson@dsv.su.se Department of Computer and System Science
PARTICIPANTS
AGENDA
Representative Active Non representative
Dominated
Develops
Set
M
ETHOD
Service
M
oderate
Visualize