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This repository has been archived by the owner on Nov 17, 2017. It is now read-only.
Survey comment 1: How to "manage up" in academia. In other words, for those of us in disciplines that aren't quickly embracing the turn to computational methods and open science, what can we do to engage older faculty so they are excited (and not threatened)? Having enthusiastic leaders is great and fostering the next generation is critical. But what about the vast middle range of faculty? How can they best be engaged, at least enough to allow these efforts to continue and hiring of data-driven people to proceed?
Survey comment 2: Under education, I think also administration: selling data science, convincing admin to fund data skills training
The text was updated successfully, but these errors were encountered:
This is something I'd definitely be interested in hearing about. One of the big questions I hear from a lot of faculty about open science is 'So what?', and for some of them, particularly those who don't reuse data, that's a hard position to counter.
Survey comment 1: How to "manage up" in academia. In other words, for those of us in disciplines that aren't quickly embracing the turn to computational methods and open science, what can we do to engage older faculty so they are excited (and not threatened)? Having enthusiastic leaders is great and fostering the next generation is critical. But what about the vast middle range of faculty? How can they best be engaged, at least enough to allow these efforts to continue and hiring of data-driven people to proceed?
Survey comment 2: Under education, I think also administration: selling data science, convincing admin to fund data skills training
The text was updated successfully, but these errors were encountered: