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
Keith O’Rourke | The Logic of Statistics
Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks
Scott Cunningham | Causal Inference (The Mixtape)
Eric Daza | Important Ideas in Causal Inference
Wenting Cheng & Weidong Zhang | Advances in Biotech/Biopharma
Ruda Zhang | Gaussian Process Subspace Regression
Ruda Zhang | Math-Science Duality
Simon Mak | Integrating Science into Stats Models
Martin Goodson | Practical Data Science & The UK’s AI Roadmap
Jack Fitzsimons | Data Security, Privacy, & Artificial Intelligence
Chris Tosh | The piranha problem in statistics
Chris Holmes | AI, Digital Health, & The Alan Turing Institute
Charlotte Deane | Bioinformatics, Deepmind’s AlphaFold 2, and Llamas
Eric Schwitzgebel | Consciousness, Zombies, & First Person Data | Philosophy of Data Science
Starting a Statistics Consultancy | Janet Wittes
Philosophy of Data Science | Jingyi Jessica Li | Advancing Statistical Genomics
Mine Çetinkaya-Rundel | Advancing Open Access Data Science Education
Jingyi Jessica Li | Statistical Hypothesis Testing vs Machine Learning Binary Classification
Gualtiero Piccinini | What Are First-Person Data? | Philosophy of Data Science
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