Cos4Bio and Cos4Env services are two online platforms that integrate observations on biodiversity (Cos4Bio) or environmental (Cos4Env) monitoring from different citizen observatories, potentially an enormous number of observations that are of interest to the expert community.
Development & functioning :
The portal will allow citizen science experts to view and identify all observations in one place. Once identified, the observation returns to the citizen observatory portal where it was reported, where according to their particular algorithm, the observation is finally validated. For example, if a citizen science expert identifies a species through the portal, and this image comes from Natusfera, it automatically will activate a notification service to inform Natusfera about the identification. However, the citizen observatory will do the final validation according to its particular algorithm. For example, some algorithms need a certain degree of expertise to validate the species’ name, but other algorithms require many identifications of the same observation to validate it, etc.
Additionally, on the expert platform, users will be able to search observations from other citizen observatories like ArtPortalent, iSpot, Natusfera and PlantNet with the main goal of identifying and downloading them for their research.
Example: If you are a scientist and want to carry out a study on the distribution of x organisms in your country, you could download all the organism observations from the portal without worrying about the citizen science observatory or the country they come from. Just as simple as that, you get a lot of data from a huge area of coverage.
Artificial intelligence (AI) – based automatic-validation tools, will also play an important role. This will help the citizen-science experts who validate the observations on the experts’ portals identify the observation.
So, the experts’ portal will take advantage of artificial intelligence. At the same time, the artificial intelligence will improve, as the more information it has, the more it can learn. Like ArtPortalent, iSpot, Natusfera, and PlantNet with the main goal to identify and download them for their researches.