Ready to fish? We invite everyone to join our new "fishing derby", which pits citizen scientists (you) against a computer algorithm, a biology class and a doctoral student, in a competition to see who can count the most sablefish.
So far, the many citizen scientists helping us with our archive containing thousands of hours of video has been a great success! Digital Fishers has enabled hundreds of people, with a variety of experience levels, to participate in ocean science research. The video collected by Ocean Networks Canada during installation dives and from underwater cameras installed across the network is being reviewed by scientists and citizen scientists alike, helping us annotate data from the deep sea. You can annotate, or describe, the various objects and animals you see by selecting from the fields on the screen. Categories to describe include sea life, water clarity, seafloor composition, and any other objects you see (natural or human made).
How can we tap the wisdom of the crowd? “Crowd Truthing,” also known as “crowd sourcing” is one approach, in which hundreds or thousands of individuals analyze numerous small segments of very large data sets. The collective findings are then sifted to answer questions no single researcher could hope to tackle alone. This approach is being used with great success to help scientists do everything from classify galaxies to map craters on the moon.
Researchers at the University of Victoria wondered if crowd sourcing might be harnessed to identify and classify fish swimming through Ocean Networks Canada’s many hundreds of hours of underwater video archives. Two biology...