Pandora's Lab
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Pandora's Lab Q2
Emily
Oct 17, 2018 07:21AM
DATA, DATA, and MORE DATA!
2 Questions about data...
Let's talk a bit how data is portrayed in the book. In many of the situations covered data and research is either misconstrued or ignored (by professionals and the public). Though recent trends in academia have tried to steer away from the "publish or perish" mentality it is still present in research, making collaboration and data sharing hard to accomplish.
Q1: Relating to many of the scenarios in the book, how can we improve our sharing/ collaboration among professionals to encourage better data analysis? But at the same time encourage criticism of data and best practices when necessary?
Research often comes across as "golden rule" or a quick "fix" in media and the public eye. What is our responsibility to be transparent with the public on the complexities of research results? An how can we better do that as professionals?
2 Questions about data...
Let's talk a bit how data is portrayed in the book. In many of the situations covered data and research is either misconstrued or ignored (by professionals and the public). Though recent trends in academia have tried to steer away from the "publish or perish" mentality it is still present in research, making collaboration and data sharing hard to accomplish.
Q1: Relating to many of the scenarios in the book, how can we improve our sharing/ collaboration among professionals to encourage better data analysis? But at the same time encourage criticism of data and best practices when necessary?
Research often comes across as "golden rule" or a quick "fix" in media and the public eye. What is our responsibility to be transparent with the public on the complexities of research results? An how can we better do that as professionals?
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