hope this is correctly categorised under algorithms.
I was just wondering, if it would be a viable option to utilise the inputs of the citizen scientists into the system to train neural networks and utilise them to identify signal and data anomalies, respectively.
Could this be a way to boost the overall efficiency of data analysis?
All the best
Interesting idea. Then let the neural networks run in a distributed fashion like SETI@home, and you'd have a pretty mean SETI machine.
Something similar has been done with Galaxy Zoo: http://www.space.com/businesstechnology/computer-learns-galaxies-100601....