Kilian Kreiser MA Interaction DesignHi- I am Kilian and my partner for the degree-project is the German Nature and Biodiversity Conservation Union„NABU“.The NABU is founded in 1899 and it‘s one of the oldest and biggest environmental associations in Germany.
Crowd-sourcing data to track and survey activities and development of nature protection areas.My topic is „Crowd-sourcing data to track and survey activities and development of nature protection areas“.
The EU‘s birds directive (1979) and habitats directive (1992) led to the setting up of protection areas that form the network Natura 2000. It protects almost 1,000,000 km² of land in the EU countries - that‘s more than twice the size of Sweden.In the last decades, the European Union adopted legislations that should protect the most threatened species andtheir habitats across europe.Those legislations were the platform to build a large network of protected areas in EU countries and conservebiodiversity.The network consists of around 26,406 areas which is almost 18% of the whole EU territory....
What is going on?With such a huge protected territory it became very hard to always know what is going on in all the areas...And this is what the European environmental associations started to deal with after all the protected areas wereﬁnally deﬁned recently.
State Pressure ResponseAnd to achieve that, there is a need to collect three different kinds of data:State: condition/status of protected area (e.g. count of specimen of one species)Pressure: potential risks and dangers for an area (e.g. use of pesticides or illegal construction work)Response: actions taken to protect an areaAll that data is needed to be monitored for the national conservation organizations to create annual reports.The reports are the foundation for the EU to assert directives towards the national governments.
wisdom transformation knowledge transformation information transformation useful data transformation project focus data collectionSo my task in the project will be to ﬁgure out,Who is collecting the data? How does that happen? How is the data ﬁltered and transformed into usefulinformation?