Post on 06-Jul-2015
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Participatory Data Gathering for Public Reuse
Nathalie Stembert1, Peter Conradie1, Ingrid Mulder1,2, and Sunil Choenni11,3
1. Creating 010, Rotterdam University of Applied Sciences (n.stembert@hr.nl, p.d.conradie@hr.nl)
2. ID-StudioLab, Delft University of Technology (I.J.Mulder@tudelft.nl)
3. Research and Documentation Centre, Ministry of Justice, The Netherlands (r.choenni@minvenj.nl)
Lessons Learned from Traditional Initatives
Introduction
Introduction
Digital means that enable people to passively gather data
are emerging, among others to map noise pollution or
indicate quality of roads or congestion
Maisonneuve, N., Stevens, M., Ochab, B.: Participatory noise pollution monitoring using mobile phones. Information Polity. 15, 51–71 (2010). Eriksson, J., Girod, L., Hull, B., Newton, R., Madden, S., Balakrishnan, H.: The Pothole Patrol: Using a Mobile Sensor Network for Road Surface Monitoring. MobiSys 2008 (2008). Savage, N.: Cycling through data. Communications of the ACM. 53, 16 (2010). Image source: http://www.flickr.com/photos/johnkarakatsanis/8551270040
Example – Pothole Patrol
Image source: http://www.flickr.com/photos/_chrisuk/6621444233/
Introduction
Initiatives constitute the use of people as carriers of
mobile sensors
Image Source: http://www.flickr.com/photos/tronixstuff/4524900783
Introduction
Beneficial for data quality, non comparibility of data, logistical issues
Gouveia, C., Fonseca, A., Câmara, A., Ferreira, F.: Promoting the use of environmental data collected by concerned citizens through information and communication technologies. Journal of environmental management. 71, 135–54 (2004). Image Source: http://www.flickr.com/photos/tronixstuff/4524900783
Introduction
Neglects qualitative information embedded in communities
Image Source: http://www.flickr.com/photos/kheelcenter/5279081507 Coleman, S., Gøtze, J.: Bowling Together: Online Public Engagement in Policy Deliberation Online Public Engagement in Policy Deliberation. (2001). Corburn, J.: Bringing Local Knowledge into Environmental Decision Making Improving Urban Planning for. 420–433 (2003). Corburn, J.: Community knowledge in environmental health science: co-producing policy expertise. Environmental Science & Policy. 10, 150–161 (2007). Fischer, F.: Citizens, experts, and the environment: The politics of local knowledge. Duke University Press (2000). Stokes, P., Havas, M., Brydges, T.: Public participation and volunteer help in monitoring programs: An assessment. Environmental Monitoring and Assessment. 15, 225–229 (1990).
How can digital data gathering processes benefit from traditional data gathering initiatives?
Rotterdam
Source: Wikimedia Commons: http://en.wikipedia.org/wiki/File:RotterdamMaasNederland.jpg
2nd biggest Dutch city
+/- 600 000 inhabitants
Higher than average crime and unemployment
Cases
Case overview
Drugs in Color (DC) Housing Report (HR) Citizen Blue (CB)
Goal Stop long-term annoyance of drug nuisance in the neighborhood
Raise attention for the housing shortage in the neighborhood
Stop long-term annoyance of disturbance in the neighborhood
Data Quantitative Quantitative & Qualitative Qualitative
Frequency Quarterly Non-recurrent half year project
Once every two weeks
Supporters Community worker, Local Police Community center Community center, Local Police
Gatherers Concerned citizens Independent researcher Concerned citizens
Interpreters Independent interpreter Independent researcher Trained citizens
Data Recipients Municipality, Local police, Housing corporation
Local residents, Municipality, Housing corporation
Municipality, Local police, Housing corporation, maintenance service
Case selection
Multiple case study approach
Selection criteria:
(a) it is an initiative in which citizens use their senses to gather data,
(b) ownership of the initiative lies with citizens, and
(c) the data is gathered to influence local policy and decision making
Approach
Structured, semi-structured interviews, obervations and
shadowing
Statement card analysis
Visser, F.S., Lugt, R. Van Der, Stappers, P.J.: Participatory design needs participatory communication: New tools for sharing user insights in the product innovation process. Proceedings of 9th European Conference on Creativity and Innovation - September 2005. pp. 1–17. , Łódź, Poland (2005).
Results: Actors
Bron:
Actormap per case
Actors
Process supporters
Data Recipients
Data Interpreters
Data Gatherers
Results: Process
Process
1 - Mother organizations: Make us of existing socials
structures, logistical support, subsidies
Process
2 - Motivational trigger: Mostly negative trigger, resulting
in data gathering
Process
3 - Legitimacy: Collaborative data gathering with legitimizing actors (police, local council, bureau of statistics)
Process
4 - Standardization and methodology: Agreement on method of gathering, standardized measurements
Process
5 - Data Gathering:
Contextual knowledge applied during gathering
Data interpreted to gain insights
Analysed data presented
Acknowledgement of data gathering by local authority
Process
6 - Feedback:
Short, medium or long term feedback on results. Common ground or understanding of the issues, to concrete actions undertaken to change situation
Discussion
Points of discussion
Hyper-local context – how can digital data gatherers benefit from local support?
What is the right balance between loosely organized online communities of interest and more stricter organizations?
How can the value of the data be retained during ad-hoc digital gathering?
Outlook
Outlook
Outlook
Outlook
Source: Wikimedia Commons http://commons.wikimedia.org/wiki/File:Rotterdam_stadhuis.jpg
Small pilots in collaboration with
Rotterdam Municipality
Thank you!