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La présentation de Jean-Paul de Vooght à la soirée Citoyens Capteurs de la Cantine du 9 novembre 2012
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La présentation de Jean-Paul de Vooght à la soirée Citoyens Capteurs de la Cantine du 9 novembre 2012

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  • 1. Citizen SensingJean-Paul de Vooght
  • 2. Markets Soft-Laws State/Federal Laws Top-DownEconomic Systems Urban Systems Biodiversity Transportation Major Banks Water Health Sovereign Debts Soil Erosion Energy Ecosystemic Services Bottom-Up « Take Ownership »
  • 3. “The technology community has set up interactive maps to help usidentify needs and target resources.”
  • 4. / ast.orghttp ://safec http://sparkfun.com/ Tohoku Earthquake
  • 5. blackcloud.org● Multimodal sensor (light, temperature, noise, CO2, organic volatile compounds)● 37 participants over a period of 35 days in the Bay Area and Greater Los Angeles● Gamified approach to learning about pollution Other Projects http://airqualityegg.wikispaces.com/ http://aircasting.org/
  • 6. Civic Applications
  • 7. dontflush.me Source : http://teachgreenbk.wordpress.com 3 NCB-01http://dontflush.me/ Combined Sewage Overflows
  • 8. Taking Ownership in 3 DimensionsParticipative data gatheringHandling of high environmental signal varietyUnderstanding through systemic thinking
  • 9. Urban Sensing : out of the woods
  • 10. Sensors ● Located at the edge of the « smart » city architecture ● Combine soft sensing (using our 5 senses) with hard sensing (IoT/UbiComp) ● Complementarity of DIY (discovery) and traditional manufacturing (replication) ● Standards for identifiers, formats, semantics and protocols supporting participatory approaches ● Additional considerations : ● Data ownership and terms of use (open data) ● Sensor selection and calibration (trust) ● Privacy and anonymityDIY Counter by Tomorrow Lab
  • 11. Crowdsourcing
  • 12. Execution● Learn from : citizen science ● Action, conservation, investigation, virtual, education (Crowston, Wiggins) ● Protocol design and quality control (task granularity) ● Motivation factors : collective, norm-oriented, identification, intrinsic, reward (Nov et al.)● Crowdmapping and disaster-relief ● What relief teams want vs what volunteers report ● Data provenance and veracity ● Conciling TOS of popular services with agency regulations ● Task coordination under heavy constraints● Micro-tasking platforms (Amazon Mechanical Turk, Kaggle, etc.) turn to mechanism design to optimize participation, incentives and results● Symmetric governance structures with progression potential for participants
  • 13. Complexity in the anthropocene
  • 14. SimplifiedPeak OilExample Thinking In Systems ● Put observations into context ● Use conceptual models and create simulations ● Recognize interconnections ● Identify feedback and delays ● Understand dynamic behavior ● Differentiate flows and stocks ● Open and Transdisciplinary approach with multiple roles : ● Observers and collectors ● Instrument makers ● Data scientists ● Domain and policy experts ● Leverage modeling environments and visualization kits available (R, NetLogo, Insight Maker, d3, Tangle, OpenStreetMap, etc.) ● Test alternative policies around a shared model of understandingSource : de Castro Carranza http://insightmaker.com/insight/2993
  • 15. Modeling, Simulation and Discussion Hard Sensing Soft Sensing Shared Understanding Filter Change ? Multi-Scale Visualization Repeatable Accross a Variety of EcosystemsInstrumentation of Model Report Events and Variables Over Time Rent-a-Sensor Smartphone Context and DIY Feature Phone CO, CO2, O2, CH4, H2, NH3, 311-type events, ideas, C4H10, CH3CH2OH, C6H5H3, best practices addressing H2S, NO2, O3, VOC, Air elements in the shared model of understanding. Temperature, Humidity, Pressure, PIR, Noise, Magnetic Field, Soil Citizens SensingTemperature, open data, etc..
  • 16. “Design a way to monitor the natural and industrial systems around you and make them knowable to you and your colleagues. Don’t try to do it alone. We are all designers now.” John Thackara In The Bubble Jean-Paul de Vooght http://citizensensing.posterous.com/
  • 17. References● HOME, Arthus-Bertrand, https://www.youtube.com/movie?feature=plcp&v=jqxENMKaeCU● Urban sensing : out of the woods, Cuff et al., http://dl.acm.org/citation.cfm?id=1325562● Workshop at the 10th International Conference on Ubiquitous Computing, http://www.urban-atmospheres.net/Ubicomp2008/● Technology-Mediated Citizen Science Participation: A Motivational Model, Nov et al., http://www.citeulike.org/user/jhincapie/article/9405389● Common Sense, http://www.communitysensing.org/● Citizen Science : Enabling Participatory Urbanism, Paulos et al., http://www.igi-global.com/chapter/citizen-science-enabling-participatory-urbanism/21817● People-Centric Urban Sensing, Campbell et al., http://dl.acm.org/citation.cfm?id=1234179● Eye On Earth Summit 2011, Working Group White Papers, http://www.eyeonearthsummit.org/working-groups/working-group-3● Agent-Based Participatory Simulations: Merging Multi-Agent Systems and Role-Playing Games, Guyot and Honiden, http://jasss.soc.surrey.ac.uk/9/4/8.html● Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples, Kamel Boulos et al., http://www.ij-healthgeographics.com/content/10/1/67● The future of citizen science: emerging technologies and shifting paradigms, Newman et al., http://www.monitoringmatters.org/articles/Newman.pdf● Crowdsourcing Crisis Information in Disaster-Affected Haiti, Heinzelman et al., http://www.usip.org/publications/crowdsourcing-crisis-information-in-disaster-affected-haiti● Ownership in the City, Virtueel Platform, http://virtueelplatform.nl/english/news/ownership-in-the-hybrid-city/● Participatory System Dynamics Modeling for Sustainable Environmental Management: Observations from Four Cases, Stave et al., http://www.mdpi.com/2071-1050/2/9/2762● Citizen Sensor Data Mining, Social Media Analytics and Development Centric Web Applications, Sheth et al., http://videolectures.net/www2011_sheth_velmurugan_csd/

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