How reproducible are your data analyses? Emerging 'best practices' in data science

Date & time

12–1pm 2 August 2017


J7, Hales Seminar Room


Dr Oscar Branson (RSES, ANU)

In response to the developing 'Reproducibility Crisis' in science, a lot of progress has been made in making data processing and analysis transparent and reproducible. I'll talk a little about why you should care about these developments, introduce a few of the more accessible tools out there, and go through a demo of how these tools can be used to improve the transparency and reproducibility of your science.

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