Overall Aim: Helping design human-machine integration in marine citizen science
The creation of more powerful machines opens up new ways of collaboration between humans and machines. An arena for the design of complex human-machine systems is “citizen science”, wherein combining human efforts with machine learning can help researchers process more data faster. Human-machine integration can also allow citizen scientists to focus on harder classifications while helping researchers validate participant observations. This may result in novel opportunities for accelerating scientific progress by involving members of the general public. OptimHum aims at optimizing a hybrid configuration, involving both human and machine intelligence, which can make the most of the capability of both in a marine citizen science project called Koster Seafloor Observatory.