I recently participated in the first meeting of the Open Knowledge Lab Frankfurt. The verdict of the meeting was that local OKLabs should focus on building projects that serve a real need and not just be interesting from a developers perspektive … otherwise it wont get noticed by the public and ultimately by local authorities–which are an important source of open data.
So here is my idea:
find the best place to live given the criteria that are important to me and visualize this on a map.
Let me show you some pictures to illustrate my idea: heat maps help to visualize geologically coded events. The first example from umwelthaus.org is a heat map of the aircraft noise measured during the day:
The second example from crime-radar.com is the number of crimes committed in Frankfurt's city limits:
If you combine those two you'll get a good idea which neighbourhoods to avoid if you were to move into this region.
And those are just two possible datasource. For me I'd like to see visualization for:
- public transport time to my workplace
- prices for land and houses
- availability of fast internet access
- proximity to bioreserves, hiking trails, lakes
- population density
- election results
This would enable me to pan around a map and find places that would fit my preferred living conditions.
One of the 10 winning ideas of the event is settlement spotter–which is exactly what I asked them to build!
Use big data and feedback from various independent sources, leverage federal and public sources, open sources from the industry to create a map that will allow a user to draw a picture. Create an online environment to help an individual decide and plan his move to a place where his living requirements are met perfectly.
I'm looking forward to seeing this project come to life.