I don’t have anything shovel-ready for this, but I propose as a general pattern data gathering. By this I don’t mean doing research but just actual yeoman’s tasks of finding the data, collating it, and putting it in suitable format for easy access.
An example of a case where this lead to something interesting when the researcher themselves did it is Mandelbrot’s Fractal Markets Hypothesis, where Mandelbrot personally collated huge quantities of market data to notice the pattern. There are also a few examples in 12 Things I Learned Studying Nature’s Laws.
That is a great low-cognitive-energy task—one thing I’ve done in the past is simply add images and short descriptions to Wikipedia pages missing them, which hopefully helps improve reader retention.
I don’t have anything shovel-ready for this, but I propose as a general pattern data gathering. By this I don’t mean doing research but just actual yeoman’s tasks of finding the data, collating it, and putting it in suitable format for easy access.
An example of a case where this lead to something interesting when the researcher themselves did it is Mandelbrot’s Fractal Markets Hypothesis, where Mandelbrot personally collated huge quantities of market data to notice the pattern. There are also a few examples in 12 Things I Learned Studying Nature’s Laws.
Maybe doing labelling for Redwood would be a good example of this?
That is a great low-cognitive-energy task—one thing I’ve done in the past is simply add images and short descriptions to Wikipedia pages missing them, which hopefully helps improve reader retention.