Citizen Science (CS) describes scientific research which is conducted by amateur scientists. A key characteristic is public participation in research thus often resulting in non-professionals collaborating with scientists or a scientific institution. Aside from changes of scientific literacy in amateurs, CS has a very pronounced effect on learning specific skills like species identification.
The objective of this thesis is to develop interactive web-based tutorials for common tasks in CS, such as data collection, classification and spatial analysis. The tutorials should be designed with guidelines for interaction in mind and support amateurs in collecting information about the spatial distribution of phenological data, trees and animal sightings in Bavaria. A user study should be conducted to evaluate the effectiveness of the knowledge transfer to amateurs and the quality of the collected and classified data.

This topic requires programming skills in JavaScript.

Staff working on this field:
Andreas Divanis, M.Sc.