Open Data Portals & Civic Hacking

Transcript

1. Open Data Portals + Civic Hacking Stefan Oderbolz (@odi) #Hacks/Hackers 29.09.2016
4. Civic Hacker / Hacktivist • Creative use of technology • Transform data in machine-readable form ◦ Provide APIs, if there is only raw data available • Provide alternatives ◦ Advance Open Source • “Political” goals ◦ Promote open knowledge ◦ Help the local community
6. Curiosity is the key • How does it work? Was steckt dahinter? ◦ e.g. am I able to reproduce the statistics in the official brochure of an upcoming vote? ◦ How much does my community spend on waste collection/recycling? • Before I’m able to change something, I have to understand it Ask questions, until you understand the topic!
10. Examples of datasets • Results of votes • Tax revenue of natural persons • Health insurance premiums • National Map 1:1 million • Bicycle lane network • First names of newborns in Zurich
12. There actually is Open Government Data! • Open Data portals publish OGD: ◦ opendata.swiss ◦ data.stadt-zuerich.ch • The government provides the (data) infrastructure ◦ Raw data + interfaces (APIs) ◦ Data processing by specialists (e.g. in the form of apps, visualizations, news articles, tools)
14. What data is still hiding in the administration? • There are treasures, that nobody yet knows about • There is no complete data inventory • You can only request known datasets
15. Example: FragDenBundestag • Wissenschaftlicher Dienst des Bundestags (“scientific service of the German Bundestag”) creates reports by request of delegates of the Bundestag, e.g. ◦ Legal basis for flyovers ◦ Participation of foreigners in plebicites • List of reports was put online, so that citizens could request it • Result: very many request, leading to a decision to make them directly available in the future
17. Requests for data Feedback from the administration: “An actual request for data is a door opener. Without it, we have no proof of a need.”
18. Requests for data • Appreciation for Open Data Pioneers in the administration ◦ Data Owner see new potential in their data ◦ A request increases the legitimisation of collecting the data in the first place • “Bottom-up” opening of data ◦ Waiting for laws or regulations is tedious ◦ Goal: Find data owners, that are willing to publish on their own
20. Company register
23. OpenERZ
25. ParkenDD
26. WHO ARE THE USERS ?
28. Hackathons • Intense events (24-48h) ◦ Analyze data ◦ Create, improve and discard ideas ◦ Build prototypes ◦ Iterate • Usually with an overall topic like ◦ Energy ◦ Finance ◦ Culture
29. Hackathons • Team building at the event with people interested in the same idea: ◦ Designers ◦ Topic experts ◦ Developers ◦ Ideators ◦ User
33. Open Source • Open source code ◦ Read, analyze and change source code ◦ Contribute changes back • Free ◦ There are no licence fees associated with the software • World-wide community of developers, testers, translators and users (e.g. GitHub)
34. Open up data? Open Data!
35. Data is not enough!
36. What’s next after the open government? • Open Education - open schools and educational material ◦ OpenTechSchool ◦ School of Data • Open Research / Open Science ◦ Research financed by the public sector (e.g. Schweizerischer Nationalfonds SNF) • Open Culture / Open GLAM
37. @odi Climathon 28./29.10.2016, Impact Hub Zürich http://zurich.climathon.org Jugend hackt 11.-13.11.2016, Planet 5 Zürich http://jugendhackt.ch