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
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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
David Dunson | Advancing Statistical Science | Philosophy of Data Science
Martin Kuldorff | Spatiotemporal Models of Disease Outbreaks
Jason Costello | Data Science vs Software, Academia vs Industry
Eric Daza | N-of-1 Science & Causal Inference | Philosophy of Data Science
Edward McFowland III | Anomalous Pattern Detection & Model Building
Data Science Job Search | Advice + Q&A
Mike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series
Deborah Mayo | Statistics & Severe Testing vs Pseudoscience
Kristin Morgan | The Data Science of Sports Injury
Michael McRoberts | Football Analytics and Data-Driven Decisions
Andrew Gelman & Megan Higgs | Statistics’ Role in Science and Pseudoscience
Irina Gaynanova | Replicability, Reproducibility, Responsibility, and Optimism for the Future of Science
Science vs Pseudoscience | Neil Manson | Philosophy of Data Science
Science vs Pseudoscience | Dien Ho | Philosophy of Data Science
New Science vs Pseudoscience Series (+ Renaming the Podcast)
Environmental Data Science | Career Q&A
Data Science Career Q&A for Undergrads
Philosophy of Data Science | Step-change and Anomaly Detection | Alex Bolton
Irina Gaynanova | Replicating Clinical Metrics & Innovating New Methods
Karel Moons | Validating Medical Predictive Models | Philosophy of Data Science
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