This hasn't gotten much attention and I admit I'm disappointed.

There's a lot of talk about #inclusion and #diversity in #science, right along with countless heated discussions of #unconscious #bias permeating all of science. But talk and discussions won't solve the problem>
Taking steps to promote inclusivity & discourage bias will.

Why is it important to talk about this here if this is just a relatively small workshop?

1. To draw attention to what we can DO; talk is cheap.
2. to describe how a workshop like EMCL can contribute significantly to professional growth, making attendance to similar events typically accessible only to a privileged few .

Specifically:

3. Workshops like these are naturally tight-knit. Teams work closely for a week.>
4. (cont) Everyone really gets to know each other professionally, their strengths and weaknesses. And junior people get to work closely with more knowledgeable, better connected, senior people.
5. This type of interaction entails access to opportunities. I've lost count
6. (cont) of how many phd and post-doc offers have come from attending an EMCL, not to mention extended collaborations resulting in papers and funded grant proposals.
4. Then there is all the learning, learning that is not as available in traditional settings as it should be.>
5. But to benefit from any of this, applicants must first be admitted. They can't make connections, learn best practice from experts, work on collaborative projects or access opportunities if they're not there. Reductionist spatial cognition at it's finest (cogling joke)>
6. Following traditional norms makes it more likely that already privileged people will be admitted over the less privileged. That is simply people being people, educated in an -ism infested society. >
7. The only way to avoid perpetuating destructive patterns is to be conscientious and built mechanisms into the selection process to prevent and avoid bias as thoroughly as we can.

Which also happens to be what open science and good science practice are supposed to be about.
8. So why does transparency in selection matter so much? Because we're an #openscience workshop. The principles that govern good practice should also guide science training & education. Otherwise, for all our talk, we'll only be perpetuating the problems we're trying to solve.
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