Why OpenData is a no bullshit innovation ? From SenseCamp

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Last 21st September 2013, I was speaking at the Sense Camp organized by MakeSense at the School ESCP in Paris with two friends, Kat Borlongan, co founder of FiveByFive and Maël Primet from Snips

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Why OpenData is a no bullshit innovation ? From SenseCamp

  1. 1. Why «Open data» is a «no bullshit» innovation ? Charles RUELLE - @charlesruelle CTO of «Etalab», the Prime Minister’s Task Force (data.gouv.fr) SG for Public Sector Modernization, France September 21st 2013
  2. 2. Opening data makes information actionable • Digital and available online ! • Granular
 statistics, raw data, geo data, etc. ! • Actionable • Published with an open license • FREE to access and reuse Document • Analogical ! • Synthetic
 ! • Static Dataset
  3. 3. A widespread opening in 4 years 43+ countries & open data platforms USA, United Kingdom, France, Belgium, Canada, Germany, Ghana, Greece, India, Italy, Kenya, Netherlands, Portugal, Russia, Saudi Arabia, Spain, Sweden, Tunisia, etc. ! International organizations ! Cities, territories ! Companies ! Public transport : Source : www.data.gov/opendatasites
  4. 4. Visualize informations Drive time isochrones around airports in northern Finland - spatial data © National Land Survey of Finland 2011
  5. 5. Bringing perspective to collective choices source : http://wheredoesmymoneygo.org
  6. 6. Bringing perspective to collective choices
  7. 7. Anchoring public discourse to facts source : http://visualization.geblogs.com/visualization/co2/#/bath_modest
  8. 8. Improve your (social) business with Open Data
  9. 9. Improve your (social) business with Open Data Alimentation Transport Health Education Security Ecology Energy Smart cities Public policies Economy Employment etc. http://www.oecdbetterlifeindex.org/
  10. 10. Open companies = smarter companies ? Kat Borlongan, Co-founder, Five by Five http://fivebyfive.io
  11. 11. WHY WOULD COMPANIES OPEN UP THEIR DATA ? src : http://www.quanjing.com/imginfo/sps255-422917.html
  12. 12. « The ideal candidate will be part developer/programmer, part researcher, part designer, part business analyst. He or she will have demonstrated expert experience with databases, programming in multiple languages, in visual design and with statistics. He or she will have an understanding of the existing open data communities and networks of visual designers and researchers who love data. » TRANSPARENCY
  13. 13. INNOVATION
  14. 14. INNOVATION what bullshit innovation looks like
  15. 15. INNOVATION open data hackathon market-ready apps what bullshit innovation looks like
  16. 16. INNOVATION what no bullshit innovation looks like
  17. 17. INNOVATION what no bullshit innovation looks like ?
  18. 18. RETHINKING OPEN DATA REUSE Value process as well as products. ! ! What do you mean by a successful open data innovation? Reconsider your criteria. ! ! The not-so-little hurdle of standardization. ! Not all open data programs are created equal.
  19. 19. Value process as well as products. ! ! What do you mean by a successful open data innovation? Reconsider your criteria. ! ! The not-so-little hurdle of standardization. ! Not all open data programs are created equal. RETHINKING OPEN DATA REUSE
  20. 20. OPEN DATA APPS
  21. 21. PREDICTING PASSENGER LOAD
  22. 22. POST OPEN-DATA HACKATHON APPS PREDICTING PASSENGER LOAD
  23. 23. PROVIDING HYPER-LOCALIZED CONTENT
  24. 24. PROVIDING HYPER-LOCALIZED CONTENT
  25. 25. ALTERNATIVE TRAVEL ROUTES DASHBOARD WITH INTERNAL REAL-TIME REPORTS COLLABORATIVE ISSUE- TRACKING
  26. 26. Value process as well as products. ! ! What do you mean by a successful post-hackathon product? Reconsider your criteria. ! ! The not-so-little hurdle of standardization. ! Not all open data programs are created equal. RETHINKING OPEN DATA REUSE
  27. 27. Value process as well as products. ! ! What do you mean by a successful post-hackathon product? Reconsider your criteria. ! ! The not-so-little hurdle of standardization. ! Not all open data programs are created equal. RETHINKING OPEN DATA REUSE
  28. 28. HACKCESS TRANSILIEN
  29. 29. GET EVERYONE ONBOARD. IMAGINE. OPEN + CREATE. PROTOTYPE. BUILD + ITERATE (AND REITERATE). HACKCESS TRANSILIEN http://opendata.transilien.com/hackcess/
  30. 30. :snips www.snips.net @snips Predictive big-data for smart cities
  31. 31. https://itunes.apple.com/fr/app/tranquilien/id660721122 https://itunes.apple.com/fr/app/tranquilien/id660721122
  32. 32. Open Data Maps, weather, socio-demographic data, … Historical data Origin-Destination matrix from SNCF User Data Checkins, location pings, search queries, ... Predictive Model Real-time integration of all data sources
  33. 33. PARKING
  34. 34. ROAD SAFETY
  35. 35. open-data + open-innovation
  36. 36. Interested in Open Data ? Charles Ruelle ! charles.ruelle@pm.gouv.fr @CharlesRuelle Kat Borlongan ! kat@fivebyfive.io @KatBorlongan We can (try to) help you find datasets / tools, 
 open your own data, 
 apply for open data programs, etc. Maël Primet ! mael.primet@snips.net @mael_p :snips

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