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Keith O’Rourke | The Logic of Statistics
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Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks
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Scott Cunningham | Causal Inference (The Mixtape)
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Eric Daza | Important Ideas in Causal Inference
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Wenting Cheng & Weidong Zhang | Advances in Biotech/Biopharma
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Ruda Zhang | Gaussian Process Subspace Regression
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Ruda Zhang | Math-Science Duality
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Simon Mak | Integrating Science into Stats Models
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Martin Goodson | Practical Data Science & The UK’s AI Roadmap
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Jack Fitzsimons | Data Security, Privacy, & Artificial Intelligence
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Chris Tosh | The piranha problem in statistics
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Chris Holmes | AI, Digital Health, & The Alan Turing Institute
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Philosophy of Data Science | Deborah Mayo | Revolutions, Reforms, and Severe Testing in Statistical Thinking
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Charlotte Deane | Bioinformatics, Deepmind’s AlphaFold 2, and Llamas
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Eric Schwitzgebel | Consciousness, Zombies, & First Person Data | Philosophy of Data Science
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Starting a Statistics Consultancy | Janet Wittes
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Philosophy of Data Science | Jingyi Jessica Li | Advancing Statistical Genomics
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Mine Çetinkaya-Rundel | Advancing Open Access Data Science Education
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Jingyi Jessica Li | Statistical Hypothesis Testing vs Machine Learning Binary Classification
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Gualtiero Piccinini | What Are First-Person Data? | Philosophy of Data Science
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David Dunson | Advancing Statistical Science | Philosophy of Data Science
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Martin Kuldorff | Spatiotemporal Models of Disease Outbreaks
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Jason Costello | Data Science vs Software, Academia vs Industry
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Eric Daza | N-of-1 Science & Causal Inference | Philosophy of Data Science
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Edward McFowland III | Anomalous Pattern Detection & Model Building
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Data Science Job Search | Advice + Q&A
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Mike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series
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Deborah Mayo | Statistics & Severe Testing vs Pseudoscience
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Kristin Morgan | The Data Science of Sports Injury
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Michael McRoberts | Football Analytics and Data-Driven Decisions
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Andrew Gelman & Megan Higgs | Statistics’ Role in Science and Pseudoscience
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Irina Gaynanova | Replicability, Reproducibility, Responsibility, and Optimism for the Future of Science
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Science vs Pseudoscience | Neil Manson | Philosophy of Data Science
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Science vs Pseudoscience | Dien Ho | Philosophy of Data Science
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New Science vs Pseudoscience Series (+ Renaming the Podcast)
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Environmental Data Science | Career Q&A
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Data Science Career Q&A for Undergrads
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Philosophy of Data Science | Step-change and Anomaly Detection | Alex Bolton
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Irina Gaynanova | Replicating Clinical Metrics & Innovating New Methods
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Karel Moons | Validating Medical Predictive Models | Philosophy of Data Science
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Philosophy of Data Science | S3 E1 | NeuralNets, GANs, Causality, and Medicine
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Career Q&A: 10 Questions From a Beginner Data Scientist
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Philosophy of Data Science | Deborah Mayo | Philosophy of Science & Statistics
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Philosophy of Data Science | S01 E04 | Values and Subjectivity in Data Science
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Philosophy of Data Science | S02 E04 | Intro to Abductive Reasoning for Data Scientists
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Philosophy of Data Science | S02 E03 | Intro to Inductive Reasoning for Data Scientists
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Philosophy of Data Science | S02 E02 | Intro to Deductive Reasoning for Data Scientists
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Philosophy of Data Science | S02 E01 | Round Table on Essential Reasoning Skills for Data Science
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Philosophy of Data Science | S01 E03 | Communicating the Science in Data Science
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Philosophy of Data Science | S01 E02 | Scientific Reasoning for Practical Data Science
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Philosophy of Data Science | S01 E01 | Critical Reasoning in Medical Machine Learning
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Philosophy of Data Science | S01E00 | Welcome to the Series!
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Innovative Trial Design & Master Protocols: Lisa Lavange | Pod of Asclepius
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NC ASA Chapter: Plenty of Online Activities! @Pod of Asclepius
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RelationalAI: Building a Knowledge Graph Database with Julia | Nathan Daly and Molham Aref@POd of Asclepius
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Are Challenge Trials Ethical for COVID-19? with Richard Yetter Chappell @Pod of Asclepius
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How do you forecast the spread of COVID-19? with Lily Wang @Pod of Asclepius
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JuliaCon 2020 with Jane Herriman - Pod of Asclepius
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S01 Episode 17 with Xinyi Li Part 2: Big Data Squared - Combining Brain Imaging and Genomics for Alzheimer’s Studies
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S01 Episode 17 with Xinyi Li Part 1: Big Data Squared - Combining Brain Imaging and Genomics for Alzheimer’s Studies
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S01 Episode 16 with John Nardini Part 2: Machine Learning and Mathematical Modeling of Wound Healing
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S01 Episode 16 with John Nardini Part 1: Machine Learning and Mathematical Modeling of Wound Healing
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S01 Episode 15 with Rita Hendricusdottir: Oxford Global Guidance to Navigate Medical Device Regulations
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S01 Episode 14 Part 2 with Mike McArdle: Virtual and Augmented Reality for Medical Training
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S01 Episode 14 Part 1 with Mike McArdle: Virtual and Augmented Reality for the Life Sciences
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Early Career Services in Statistics and Data Science - Wendy Martinez @Pod of Asclepius
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S01 Ep13 with Stephanie Hicks: Data Science Education and the upcoming tracks at SDSS 2020
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S01 Episode 12 with Paul Elbers: AmsterdamUMCdb, Europe’s first open ICU database
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S01 Ep11 with Dave Hunter: Disease Network Modeling, Mixture Models, & Career Opportunities at SDSS 2020
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S01 Ep10 with David Madigan and Demissie Alemayehu: Risks and Opportunities of AI in Clinical Drug Development
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S01 Ep08 with Dana Al Sulaiman: Engineering Sensing Platforms for Biomarker Detection
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S01 Ep08 with Mona Kanaan and Ada Keding: What is a Stepped-Wedge Trial?
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S01 Ep07 with Shane Burns: Data Platforms to Monitor Animal Health
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S01 Ep06 with Rob Scott: What are a Clinician’s Priorities for Data-Driven Medicine?
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S01 Ep05 with Gajanan Bhat and Xinping Cui: Leveraging Data for Clinical Development & the OC Biostatistics Symposium
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S01 Ep04 with Eric Stephens: Hospital Analytics & CSP 2020
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S01 Ep03 with Nick de Pennington: Ufonia’s Automated Patient Phone Screening
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S01 Ep02 with Niven Narain: Berg Health’s Data Platforms and Pharmaceutical Innovation
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S01 Ep01 with Jeroen Bergmann and Daniel Mogefors: Needs-led Innovation at Oxford University
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S01 Ep00 with Glen Wright Colopy: What’s ahead for Q1 of 2020?
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S00 Ep04 Pt 2 with Allison Meisner: Technical Deep-dive Into Optimizing Bespoke Clinical Models
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S00 Ep04 Pt 1 with Allison Meisner: Winning the ASA Student Paper Competition and Research Overview
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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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S00 Ep03 Pt2 with Martin Ho and Greg Maislin: Bayesian Methods and Digital Health Initiatives
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S00 Ep03 with Martin Ho and Greg Maislin Pt 1: MDD Section Activities
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S00 Ep02 with Emma Hughes: An Introduction to the IET Innovation Management Technical Network and Innovation in the NHS
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S00 Ep01 Pt2: A Nifty Statistical Approach to Vital-Sign Artefact Detection
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S00 Ep01 Pt 1: Gaussian Processes for Identifying the Deteriorating Patient
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S00 Ep00 with Glen Wright Colopy: Welcome and hello!
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