Main Topic Lens: Being able to explain your own code a few months after you wrote it is hard. A significant challenge facing a wide variety of disciplines is the ability to reproduce

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Being able to explain your own code a few months after you wrote it is hard. A significant challenge facing a wide variety of disciplines is the ability to reproduce Presenter: Luke Johnston, Steno Diabetes Center Aarhus University Key “take home” points 1.

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  • A significant challenge facing a wide variety of disciplines is the ability to reproduce
  • Being able to explain your own code a few months after you wrote it is hard.
  • Presenter: Luke Johnston, Steno Diabetes Center Aarhus University Key “take home” points 1.

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Supporting Media Notes

Research Reproducibility in Data Science
Reproducibility
Reproducibility in Data Science | NYU
Reproducibility and the Chair of Evidence in Research
Data Science Initiative: Reproducibility, Replicability & Scientific Integrity
Reproducible Data Science with Machine Learning
How I Teach Life Scientists About Reproducibility and Data Analysis Using R
How to make data science workflows reproducible
A Case Study in Reproducible Data Science: Measuring and Modeling Human Brain Connectivity
Why reproducible research matters | Professor Sir Robert Lechler
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Open Full Summary
Research Reproducibility in Data Science

Research Reproducibility in Data Science

A significant challenge facing a wide variety of disciplines is the ability to reproduce

Reproducibility

Reproducibility

John Ioannidis from Stanford University presents a webinar titled, “

Reproducibility in Data Science | NYU

Reproducibility in Data Science | NYU

Read more details and related context about Reproducibility in Data Science | NYU.

Reproducibility and the Chair of Evidence in Research

Reproducibility and the Chair of Evidence in Research

Read more details and related context about Reproducibility and the Chair of Evidence in Research.

Data Science Initiative: Reproducibility, Replicability & Scientific Integrity

Data Science Initiative: Reproducibility, Replicability & Scientific Integrity

Read more details and related context about Data Science Initiative: Reproducibility, Replicability & Scientific Integrity.

Reproducible Data Science with Machine Learning

Reproducible Data Science with Machine Learning

Being able to explain your own code a few months after you wrote it is hard. Imagine having to explain the decisions of some AI ...

How I Teach Life Scientists About Reproducibility and Data Analysis Using R

How I Teach Life Scientists About Reproducibility and Data Analysis Using R

Presenter: Luke Johnston, Steno Diabetes Center Aarhus University Key “take home” points 1. Incorporate and weave in reading, ...

How to make data science workflows reproducible

How to make data science workflows reproducible

Read more details and related context about How to make data science workflows reproducible.

A Case Study in Reproducible Data Science: Measuring and Modeling Human Brain Connectivity

A Case Study in Reproducible Data Science: Measuring and Modeling Human Brain Connectivity

Read more details and related context about A Case Study in Reproducible Data Science: Measuring and Modeling Human Brain Connectivity.

Why reproducible research matters | Professor Sir Robert Lechler

Why reproducible research matters | Professor Sir Robert Lechler

Read more details and related context about Why reproducible research matters | Professor Sir Robert Lechler.