Philosophy of Data Science Series
Keynote with Deborah Mayo
Episode 1: Revolutions, Reforms, and Severe Testing in Statistical Thinking
In the first keynote of the Philosophy of Data Science Series we have a 2-part interview with Deborah Mayo (Virginia Tech).
In the first part of our keynote with Deborah Mayo we cover...
- The role of scientific revolution and its implications for statistics and data scientist.
- The necessity of statistical reforms and why philosophy will play a role.
- The value of severe testing of scientific claims.
Watch it on...
YouTube: https://youtu.be/S4VAEShM3BU
Podbean:
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Topics:
0:00 - Preface to First Keynote Interview
2:00 - Welcome Deborah Mayo!
5:05 - What is the Philosophy of Statistics?
8:15 - What does philosophy add to data science?
16:10 - Scientific revolution in statistics
20:10 - Statistical reforms
24:25 - Replication & hypothesis pre-specification
31:00 - Failure is severe testing
37:25 - Error statistics
48:00 - Scientific progress and closing remarks
Philosophy of Data Science | S3 E1 | NeuralNets, GANs, Causality, and Medicine
Career Q&A: 10 Questions From a Beginner Data Scientist
Philosophy of Data Science | Deborah Mayo | Philosophy of Science & Statistics
Philosophy of Data Science | S01 E04 | Values and Subjectivity in Data Science
Philosophy of Data Science | S02 E04 | Intro to Abductive Reasoning for Data Scientists
Philosophy of Data Science | S02 E03 | Intro to Inductive Reasoning for Data Scientists
Philosophy of Data Science | S02 E02 | Intro to Deductive Reasoning for Data Scientists
Philosophy of Data Science | S02 E01 | Round Table on Essential Reasoning Skills for Data Science
Philosophy of Data Science | S01 E03 | Communicating the Science in Data Science
Philosophy of Data Science | S01 E02 | Scientific Reasoning for Practical Data Science
Philosophy of Data Science | S01 E01 | Critical Reasoning in Medical Machine Learning
Philosophy of Data Science | S01E00 | Welcome to the Series!
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