Dark Data: Why what you don’t know matters
In this episode we focus on how you can grow in your effectiveness as scientists and leaders. With that in mind, we like to dive into this concept of Dark Data and how, where, when, why this impacts decision making in the pharmaceutical industry.
- How dark data is an issue in the area of healthcare, particularly pharmaceutical R&D, clinical trials, manufacturing, marketing, and health technology assessments?
- What's the taxonomy of dark data?
- Where might statisticians/data scientists have their own “blind spots” related to dark data?
- From the standpoint of “effectiveness”, what is Davids advice to statisticians when it comes to this matter of Dark Data?
Reference: Dark Data
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https://en.wikipedia.org/wiki/David_Hand_(statistician)
https://www.imperial.ac.uk/people/d.j.hand
CV: https://www.imperial.ac.uk/people/d.j.hand/cv/CV%20for%20Imperial%20website%2020200222.rtf
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