S00 Ep03 Pt03 with Martin Ho and Greg Maislin: The MDD Idea Exchange and Bayesian p-values

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73 min listen

Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks: Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks Did you know that it's possible to hide malware in neural networks? Actually, you can hide malware in many statistical models. This is the subject of two recently-published papers (aptly ti... by Data & Science with Glen Wright Colopy

52 min listen

Scott Cunningham | Causal Inference (The Mixtape): Scott Cunningham | Causal Inference (The Mixtape)Scott Cunningham (Baylor University) discusses the ideas of his book "Causal Inference: The Mixtape". Topics include trusting inference in the absence of counterfactuals and the challenges of apply scienti... by Data & Science with Glen Wright Colopy

81 min listen

Eric Daza | Important Ideas in Causal Inference: Eric Daza | Important Ideas in Causal Inference YouTube: https://youtu.be/K5nsSMJVIT0 Andrew Gelman and Aki Vehtari wrote a paper titled, "What are the most important statistical ideas of the past 50 years?". The first idea in the list is "counterfactual... by Data & Science with Glen Wright Colopy

84 min listen

Wenting Cheng & Weidong Zhang | Advances in Biotech/Biopharma: Wenting and Weidong discuss how the statistical challenges in the biopharm industry have proliferated with the unique demands of biotech and related life science industries. by Data & Science with Glen Wright Colopy

35 min listen

Ruda Zhang | Gaussian Process Subspace Regression: Ruda Zhang | Gaussian Process Subspace Regression Ruda Zhang (Duke University) walks us through "Gaussian Process Subspace Regression for Model Reduction" by Zhang, Mak, and Dunson. To keep the topic interesting for both the early career & advanced audie... by Data & Science with Glen Wright Colopy

69 min listen

Ruda Zhang | Math-Science Duality: Ruda Zhang | Math-Science Duality Watch it on...Youtube: https://youtu.be/GoDwen-RGZgPodbean: https://dataandsciencepodcast.podbean.com/e/ruda-zhang-math-science-duality/ Statistics is thought to reside at the interface of science and mathematics. Ruda Z... by Data & Science with Glen Wright Colopy

83 min listen

Simon Mak | Integrating Science into Stats Models: Simon Mak | Integrating Science into Stats Models#statistics #science #ai It’s a common dictum that statisticians need to incorporate domain knowledge into their modeling and the interpretation of their results. But how deeply can scientific principles b... by Data & Science with Glen Wright Colopy

79 min listen

Martin Goodson | Practical Data Science & The UK’s AI Roadmap: Martin Goodson | Practical Data Science & The UK's AI Roadmap #ai #datascience #startups Martin Goodson (Evolution AI) describes the key aspects of the UK's AI Roadmap & responses to the document by members of the Royal Statistical Society. In particular... by Data & Science with Glen Wright Colopy

76 min listen

Jack Fitzsimons | Data Security, Privacy, & Artificial Intelligence: Dr. Jack Fitzsimons (Oblivious AI) gives a high-level introduction to the technologies that can either exploit or protect your data privacy. If you'd like to survey the landscape of data privacy-preserving technologies (from someone who's building the te... by Data & Science with Glen Wright Colopy

74 min listen

Chris Tosh | The piranha problem in statistics: The piranha problem (too many large, independent effect sizes influence the same outcome) has received some attention on Andrew Gelman’s blog. But now it’s a paper! Chris Tosh (Memorial Sloan Kettering) talks about multiple views of the piranha problem ... by Data & Science with Glen Wright Colopy

70 min listen

Chris Holmes | AI, Digital Health, & The Alan Turing Institute: Chris Holmes is Professor of Biostatistics at the University of Oxford and Programme Director for Health and Medical Sciences at The Alan Turing Institute. Chris’ research interests include Bayesian nonparametrics (which is the right kind of nonparametri... by Data & Science with Glen Wright Colopy

64 min listen

Philosophy of Data Science | Deborah Mayo | Revolutions, Reforms, and Severe Testing in Statistical Thinking: Philosophy of Data Science Series Keynote with Deborah MayoEpisode 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 Te... by Data & Science with Glen Wright Colopy

54 min listen

Charlotte Deane | Bioinformatics, Deepmind’s AlphaFold 2, and Llamas: Charlotte Deane | Bioinformatics, Deepmind's AlphaFold 2, and Llamas#datascience #ai Charlotte Deane (Oxford University) talks about statistical approaches to bioinformatics, the evolution of Google Deepmind's AlphaFold 2 & its place in protein informati... by Data & Science with Glen Wright Colopy

77 min listen

Eric Schwitzgebel | Consciousness, Zombies, & First Person Data | Philosophy of Data Science: The philosophical community continuously aims to reconcile differing views on first person data and the consciousness of the mind. Is it possible to live without consciousness? Can one conceive thoughts without matching images to them? In this episode, E... by Data & Science with Glen Wright Colopy

73 min listen

Starting a Statistics Consultancy | Janet Wittes: Starting a Statistics Consultancy | Janet Wittes The following interview was a keynote fireside chat with Janet Wittes (Statistics Collaborative, Inc.) titled "Statisticians as Entrepreneurs". It was recorded for the BBSW 2021 Conference (Nov 3 - 5 in Fo... by Data & Science with Glen Wright Colopy

39 min listen

Philosophy of Data Science | Jingyi Jessica Li | Advancing Statistical Genomics: Jingyi Jessica Li | Advancing Statistical Genomics Watch it on…. YouTube Podbean Jingyi Jessica Li (UCLA) describes common statistical pitfalls in genomic data analysis & the statistical reasoning required to correct these mistakes. Common theme... by Data & Science with Glen Wright Colopy

83 min listen

Mine Çetinkaya-Rundel | Advancing Open Access Data Science Education: Mine Çetinkaya-Rundel | Advancing Open Access Data Science Education#datascience #statistics #education Mine Çetinkaya-Rundel (Duke University) describes the current and future states of statistics and data science education. Then she discusses the proce... by Data & Science with Glen Wright Colopy

81 min listen

Jingyi Jessica Li | Statistical Hypothesis Testing vs Machine Learning Binary Classification: Jingyi Jessica Li | Statistical Hypothesis Testing versus Machine Learning Binary Classification Jingyi Jessica Li (UCLA) discusses her paper "Statistical Hypothesis Testing versus Machine Learning Binary Classification". Jingyi noticed several high-imp... by Data & Science with Glen Wright Colopy

56 min listen

Gualtiero Piccinini | What Are First-Person Data? | Philosophy of Data Science: Gualtiero Piccinini | What Are First-Person Data? First-person methods (and its associated data) have been scientifically and philosophically contentious. Are they pseudoscientific? Or simply pushing the bounds of scientific methodology? Obviously, I hav... by Data & Science with Glen Wright Colopy

52 min listen

David Dunson | Advancing Statistical Science | Philosophy of Data Science: David Dunson | Advancing Statistical Science | Philosophy of Data Science Series A fundamental question in the philosophy of science is "what does it mean to make scientific progress?" We will have a series of episodes centered around this question for s... by Data & Science with Glen Wright Colopy

77 min listen

Martin Kuldorff | Spatiotemporal Models of Disease Outbreaks: Note: This conversation was recorded June 25, 2021. Martin Kuldorff | Spatiotemporal Models of OutbreaksMartin Kuldorff (Harvard Medical School) talks about the integration of biological & demographic information (and general reality) in the spatiotempor... by Data & Science with Glen Wright Colopy

68 min listen

Jason Costello | Data Science vs Software, Academia vs Industry: Interested in Data Science? Learn Data Science and Statistics from experts as they cover key topics in the field. The Data & Science podcast focusses on teaching data scientists how to think critically in order to solve data analysis problems across vari... by Data & Science with Glen Wright Colopy

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Eric Daza | N-of-1 Science & Causal Inference | Philosophy of Data Science: Interesting in Data Science? Learn Data Science and Statistics from experts as they cover key topics in the field. The Data & Science podcast focusses on teaching data scientists how to think critically in order to solve data analysis problems across var... by Data & Science with Glen Wright Colopy

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Edward McFowland III | Anomalous Pattern Detection & Model Building: #datascience #statistics Edward McFowland III | Anomalous Pattern Detection & Model Building Edward McFowland III (Harvard Business School) describes the differences between "anomalies" and "anomalous patterns". Edward describes how this informs modeling... by Data & Science with Glen Wright Colopy

63 min listen

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90 min listen

Mike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series: Mike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series Mike Evans (University of Toronto) describes his approach to statistical reasoning. Mike outlines how to recognize and address problems that are statistical in nature and w... by Data & Science with Glen Wright Colopy

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Kristin Morgan | The Data Science of Sports Injury: Description: In the world of biomechanics, engineers continuously aim to innovate and create new models for better understanding of their research. In this episode, Kristin Morgan (University of Connecticut) returns to the show as she explains how they u... by Data & Science with Glen Wright Colopy

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S00 Ep03 Pt03 with Martin Ho and Greg Maislin: The MDD Idea Exchange and Bayesian p-values

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