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14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
14 crowdsourcinggi
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14 crowdsourcinggi

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  • 1. CROWDSOURCING AND GI JAVIER MORALES
  • 2. AGENDACROWDSOURCING AND SPATIAL DATA INFRASTRUCTURES Background Crowdsourcing Principles Examples Conclusions © Manuel Ramos © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 2
  • 3. BACKGROUNDTHE ROLE OF GI Geographic information (GI) was for generations produced and consumed by professionals Societal processes  land transfer,  planning and development,  risk management  … that affect organisations and individuals. Trend to develop mechanisms to bring GI closer to non-professional users © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 3
  • 4. BACKGROUNDMODERN TOOLS Web 2.0  high interactivity,  sharing and collaboration,  Interoperability, and  real-time user-generated content Web 2.0 apps  social networking,  blogging,  wikis,  video sharing, and  Mashups © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 4
  • 5. BACKGROUNDWEB 2.0 The users’ role has changed from looking for and retrieving content  to active participation © www.techscreens.com everyone contributes to the common knowledge of the group they interact with Wikipedia, YouTube, Flickr, Wikimedia © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 5
  • 6. CROWDSOURCINGWHY? Organisations today have to operate in information-rich environments  They can no longer afford to rely entirely on their own ideas  They cannot bet their success to a single product to the market Traditional development which largely focused on  intra-organisational skills,  closed off from outside ideas and technologies is becoming obsolete © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 6
  • 7. CROWD-WHAT? Crowdsourcing is the act of taking a job traditionally performed by a designated agent (usually an employee) and outsourcing it to an undefined, generally large group of people in the form of an open call. Jeff Howe © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 7
  • 8. CROW-WHAT? The crowdsourcing approach  a recognised entity posts a problem online  a large number of individuals reacts  they provide a small part of the solution to the problem  solutions offered are exhaustive and not disjoint This approach is popular because  web-based social technology makes it feasible & affordable to collect data using groups of individuals  such data is often more accurate indicator of current conditions in the real world than what can be obtained from data stored in databases © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 8
  • 9. CROWDSOURCING PRINCIPLES1. Formulate the problem properly  Scope & purpose2. State deliverables concretely (quality)  let the crowd know exactly what is expected from them  leave space for their creativity3. Connect with the right crowd  diversity (the question is answered from multiple points of view)  scientists or specialists and a significant number of hobbyists with knowledge in the problem domain4. Deploy the appropriate crowd management scheme  moderate discussion boards  post provocative challenges & publish milestones © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 9
  • 10. EXAMPLES Ushahidi GeoNames Geonode Google MapMaker OpenStreetMaps Aim at providing open data through the Creative Commons Attribution – ShareAlike license data can be used freely and if you alter or build upon it, you need to share those alterations back to the community © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 10
  • 11. OPEN DATAData is considered to be open if  it is and publish online,  updated as often as possible,  provided in a way that allows for its legal use for any purpose, and  that allows easy processing with any arbitrary software program © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 11
  • 12. OPENSTREETMAP The OpenStreetMap project is a crowdsourced geospatial data repository, with a global cast of volunteers. With the mission to create a free editable dataset of the world It has been very successful especially  In producing data fro places where it was very scarce (rural & peri-urban areas)  In keeping up-to-date datasets of rapidly evolving urban areas © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 12
  • 13. OPENSTREETMAPA YEAR OF EDITS © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 13
  • 14. OPENSTREETMAPPROJECT HAITI - 2010 © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 14
  • 15. OPENSTREETMAP © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 15
  • 16. SPATIAL DATASETSCROWDSOURCING IMPACT Chia, Colombia Maps © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 16
  • 17. OPENSTREETMAPCOMPARISON Enschede © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 17
  • 18. OPENSTREETMAPCOMPARISON Guatemala City © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 18
  • 19. SPATIAL DATASETSCROWDSOURCING IMPACT Lahore, Pakistan in Lahore, Pakistan in Google Maps Google Maps (before MapMaker) (after MapMaker) © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 19
  • 20. SPATIAL DATASETSCROWDSOURCING IMPACT Bolivia © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 20
  • 21. USHAHIDIHISTORY © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 21
  • 22. USHAHIDIWORKING APPROACH © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 22
  • 23. USHAHIDIDATA INPUTS © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 23
  • 24. USHAHIDIEXPLOITATION Disaster Response © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 24
  • 25. USHAHIDIEXAMPLES http://ushahidi.internewskenya.org/ © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 25
  • 26. USHAHIDIEXAMPLES http://haiti.ushahidi.com/ © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 26
  • 27. CONCLUSIONSCROWDS & SDI Work on something relevant (or at least has the promise of being useful relatively soon) Put the users at the center  View users as important contributors  Give them responsibility  Enable ratings  Derive metadata from usage Make customization as easy as possible  Enable mashups  Unlock the visualizations Index your data and become searchable © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 27
  • 28. CHALLENGESRESEARCH ISSUES Automatic validation an filtering of data inputs Indirect geo-tagging (mining of social networks) Automatic aggregation & summarizing of similar data entries © Community FixIt © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 28
  • 29. © Department of Geo-information Processing (GIP) – 27-Oct-2011 – 29

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