Q2. not studying participants as subjects at all. E.g. in #StallCatchers players are analyzing real data (& correcting experts!) #CitSciChat
Q2. So biomedical #citizenscience is more than data donation? What are truly participatory features? #CitSciChat
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real data on mice?
#CitSciChat
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A2 Data donation/analysis/classification tends to be the easiest entry point for
#citsci#volunpeers. (1/3)#CitSciChat -
A2 When they gain confidence and competence, they may drive certain aspects of project (2/3)
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A2 Eg- how to train new
#volunpeers, exploratory data analysis approaches, etc (3/3)#CitSciChat
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A2. It can be more of a collaboration with scientists, working on problems together.
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A2. Citizen scientists and traditional scientists can iterate and help each other out.
#CitSciChat
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A2
#CitSciChat having many people contribute annotations gives *more* statistical info than single expert, not just a replacement! -
yep, in
#StallCatchers#citsci'ist help check/create ground truth - early stages tho#CitSciChat
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Q2 it's data curation + ultimately data creation as people turn data into info then into knowledge in the right context
#CitSciChatThanks. Twitter will use this to make your timeline better. UndoUndo
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