Data & Science with Glen Wright Colopy
86 episodes - English - Latest episode: about 2 years ago - ★★★★★ - 6 ratingsData and Science with Glen Wright Colopy is a podcast covering critical scientific reasoning, particularly from a data science / machine learning / statistics perspective. Episodes typically focus on understanding of how to be better scientists and critical thinkers for the practical purpose of being a better data scientists.
Previously called: ”Pod of Asclepius”
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Episodes
Ruda Zhang | Math-Science Duality
April 14, 2022 01:08 - 1 hour - 190 MBRuda Zhang | Math-Science Duality Watch it on... Youtube: https://youtu.be/GoDwen-RGZg Podbean: https://dataandsciencepodcast.podbean.com/e/ruda-zhang-math-science-duality/ Statistics is thought to reside at the interface of science and mathematics. Ruda Zhang (Duke University) discusses the friction at this interface and the role that both mathematical formalism & observational/data-driven intuition play in scientific discovery. A great topic for anyone interested in statistics' role in s...
Simon Mak | Integrating Science into Stats Models
April 06, 2022 00:41 - 1 hour - 182 MBSimon 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 be embedded into statistical models? Prof. Simon Mak (Duke University) is pushing this idea to the limit by integrating fundamental physics, physiology, and biology into both the models and model inference. This includes Simon’s joint work w...
Martin Goodson | The UK’s AI Roadmap
March 16, 2022 18:51 - 1 hour - 175 MBMartin Goodson | 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, Martin describes the disconnect between the priorities of AI startups and industry practitioners on one side, and government and academia on the other. Martin also outlines which skills early career data scientists should focus on while in school versus after ent...
Martin Goodson | Practical Data Science & The UK’s AI Roadmap
March 16, 2022 18:51 - 1 hour - 175 MBMartin 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, Martin describes the disconnect between the priorities of AI startups and industry practitioners on one side, and government and academia on the other. Martin also outlines which skills early career data scientists should focus on while i...
Jack Fitzsimons | Data Security, Privacy, & Artificial Intelligence
March 01, 2022 02:09 - 1 hour - 170 MBDr. 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 tech) this is a good place to start! #datascience #privacy #ai 0:00 - Coming up... 3:24 - Introduction 6:20 - Data privacy and privacy enhancing technologies 13:00 - History of privacy enhancing technologies 19:54 - Differential privacy:...
Chris Tosh | The piranha problem in statistics
February 22, 2022 12:17 - 1 hour - 160 MBThe 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 and detecting the implausible scientific claims that are published. The butterfly effect makes an appearance. If you enjoyed the science-vs-pseudoscience topics, you’ll enjoy this one. 0:00 - Coming up in the episode 2:35 - What is the...
Chris Holmes | AI, Digital Health, & The Alan Turing Institute
February 09, 2022 03:02 - 1 hour - 74.4 MBChris 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 nonparametrics), statistical machine learning, genomics, and genetic epidemiology. 0:00 - Intro 1:38 - Chris Holmes, Professor of Biostatistics at Oxford University 3:28 - UK Biobank & designing a valuable dataset 8:42 - Healthcare charities in the UK 1...
Philosophy of Data Science | Deborah Mayo | Revolutions, Reforms, and Severe Testing in Statistical Thinking
February 04, 2022 00:07 - 53 minutes - 1.2 GB VideoPhilosophy 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. - T...
Charlotte Deane | Bioinformatics, Deepmind’s AlphaFold 2, and Llamas
February 01, 2022 12:54 - 1 hour - 1.71 GB VideoCharlotte 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 informatics deep learning landscape. She also describes humanizing antibodies, and the increasing role of software engineers in statistical research groups. The topic of llamas, camels, and alpacas (and their unique place in proteomics research) mak...
Eric Schwitzgebel | Consciousness, Zombies, & First Person Data | Philosophy of Data Science
December 02, 2021 04:18 - 1 hour - 2.73 GB VideoThe 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, Eric Schwitzgebel of the University of California tries to dissect such topics and questions to help us better understand the philosophical world. Keywords: philosophy, epistemic data, first person data, stimulus error, imageless thought,...
Starting a Statistics Consultancy | Janet Wittes
November 22, 2021 11:30 - 38 minutes - 1.91 GB VideoStarting 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 Foster City, CA). References: BBSW 2021 Conference: https://www.bbsw.org/bbsw2021 Topics: 0:00 Janet's background prior to founding Statistics Collaborative, Inc. 3:00 Janet's initial research interest as a consultant 4:10 Why did Janet...
Philosophy of Data Science | Jingyi Jessica Li | Advancing Statistical Genomics
November 16, 2021 19:21 - 1 hour - 2.31 GB VideoJingyi 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 themes throughout include: Hypothesis-driven science & critical scientific reasoning over data p-values and non-sensical null hypotheses/distributions the value of appearing statistically rigorous researchers cutting intellectual corners & ...
Mine Çetinkaya-Rundel | Advancing Open Access Data Science Education
November 09, 2021 11:30 - 1 hour - 1.96 GB VideoMine 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 process of building open access learning material. 0:00 - Introduction 1:40 - Prioritizing topics in curricula 9:07 - Teaching with intent to test 11:22 - Statistics without computing 17:52 - What should be taught? How do we teach it? 19:07 ...
Jingyi Jessica Li | Statistical Hypothesis Testing vs Machine Learning Binary Classification
September 20, 2021 03:15 - 55 minutes - 1.78 GB VideoJingyi 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-impact cancer research papers using multiple hypothesis testing for binary classification problems. Concerned that these papers had no guarantee on their claimed false discovery rates, Jingyi wrote a perspective article about clarifying hypothe...
Gualtiero Piccinini | What Are First-Person Data? | Philosophy of Data Science
August 30, 2021 01:23 - 51 minutes - 1.93 GB VideoGualtiero 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 have no idea… so Prof. Gualtiero Piccinini (University of Missouri – St. Louis) provides a helpful introduction to the topic covering the key points of its history and the philosophical/scientific debate. 0:00 Why cover first-person methods & ...
David Dunson | Advancing Statistical Science | Philosophy of Data Science
August 17, 2021 02:10 - 1 hour - 989 MB VideoDavid 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 statistics and data science. In our first episode in the series, David Dunson (Duke University) discusses important advances in Bayesian analysis, big data, uncertainty, and scientific discovery. Topic Timestamps 0:00 Intro to David Dunson...
Martin Kuldorff | Spatiotemporal Models of Disease Outbreaks
August 03, 2021 02:18 - 1 hour - 2.54 GB VideoNote: This conversation was recorded June 25, 2021. Martin Kuldorff | Spatiotemporal Models of Outbreaks Martin Kuldorff (Harvard Medical School) talks about the integration of biological & demographic information (and general reality) in the spatiotemporal models used to detect disease outbreaks. He also discusses how these methods can be applied to non-infectious diseases like cancer. 0:00 - Spatio-temporal modeling of outbreaks 6:02 - Important features of spatio-temporal outbreak model...
Jason Costello | Data Science vs Software, Academia vs Industry
July 19, 2021 12:09 - 1 hour - 2.06 GB VideoInterested 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 various scientific domains. Jason Costello | Data Science vs Software, Academia vs Industry Jason Costello (Hypervector) describes his (non-trivial) transition from academic research into big tech and then the healthcare industry. He outlines...
Eric Daza | N-of-1 Science & Causal Inference | Philosophy of Data Science
June 14, 2021 10:15 - 1 hour - 2.71 GB VideoInteresting 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 various scientific domains. Eric Daza | N-of-1 Science & Causal Inference | Philosophy of Data Science Much of our scientific inference revolves around the identification and replication of patterns in data. So what can be done when N=1? Er...
Edward McFowland III | Anomalous Pattern Detection & Model Building
June 01, 2021 10:33 - 1 hour - 1.15 GB Video#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 strategies, in particular, when to use an off-the-shelf model versus building a bespoke model from scratch. He then covers how to draw inspiration from different scientific and technical fields. 0:00 Edward: Live in Conference 2:00 Outli...
Data Science Job Search | Advice + Q&A
May 26, 2021 10:15 - 1 hour - 2.24 GB Video#datascience #jobs #career #jobsearch #statistics The Statistical Consulting Section of the ASA invited me to give a presentation on the data science job search followed by a Q&A. They were kind enough to let me post it here (with minor edits). My drawing of "cumulative cost" is wrong. It should intercept the "current cost" line at time = 0. 0:00 – Humility, Goals, & Human Data Points 5:00 – Play the Numbers Game 12:40 – Job vs Career 18:18 – Nonsensical Data Science Job Descriptions ...
Mike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series
May 19, 2021 10:15 - 1 hour - 1.62 GB VideoMike 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 why these approaches should be grounded in our ability to measure statistical evidence. Watch it on YouTube at: https://youtu.be/Q7JpGZxHxXU 0:00 Statistical Reasoning 2:30 The Basic Problem: Reasoning on Statistical Problems 13:00 R...
Deborah Mayo | Statistics & Severe Testing vs Pseudoscience
May 13, 2021 10:15 - 1 hour - 1.63 GB VideoDeborah Mayo | Statistics & Severe Testing vs Pseudoscience Watch it on… YouTube Podbean In our fourth episode of the “science vs pseudoscience” mini-series, Deborah Mayo (Virginia Tech) specifies several necessary criteria to be scientifically rigorous. She gives several examples of how statistical thinking is essential to scientific thinking and why she believes that the “I’ll know it when I see it” approach to delineating science from pseudoscience is not a good approach...
Kristin Morgan | The Data Science of Sports Injury
May 10, 2021 13:05 - 1 hour - 1.41 GB VideoDescription: 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 use gait as a form of diagnostic tool in maximizing human performance. Having experiences on sports herself, Morgan presents how they use gait to measure recovery from physical impairment, specifically for ACL-related injuries. Aside from this...
Michael McRoberts | Football Analytics and Data-Driven Decisions
May 05, 2021 10:15 - 1 hour - 2.07 GB VideoMichael McRoberts | Football Analytics and Data-Driven Decisions Michael McRoberts (Championship Analytics Inc.) uses Monte Carlo simulations to provide strategy analytics to college and NFL football teams. Topics include communicating data-driven recommendations, the need to create counterfactual data, and asymmetric decision rewards. 0:00 The challenge of sports analytics 5:00 Analytics recommendations 16:00 Communicating data-driven recommendations 24:35 Vegas Odds & Ancillary ...
Andrew Gelman & Megan Higgs | Statistics' Role in Science and Pseudoscience
April 30, 2021 10:15 - 1 hour - 2.67 GB VideoAndrew Gelman & Megan Higgs | Statistics' Role in Science and Pseudoscience #datascience #statistics #science #pseudoscience Our science vs pseudoscience discussion continues with Andrew Gelman (Columbia) and Megan Higgs (Critical Inference LLC). Andrew and Megan describe two critical roles that statistics plays in science.... but also how statistics can add the air of scientific rigor to bad research or help statisticians fool themselves. From there the conversation goes on in a way...
Irina Gaynanova | Replicability, Reproducibility, Responsibility, and Optimism for the Future of Science
April 27, 2021 10:15 - 1 hour - 2.33 GB VideoIrina Gaynanova (Texas A&M) describes why she thinks that replicability is a prerequisite for reproducibility in science and how scientists can (personally) start improving the replicability of research. We also discuss how the concepts of replicability/reproducibility can differ according to the domain-specific context and the methods used. Please forward to any students or colleagues who would find this of interest!
Science vs Pseudoscience | Neil Manson | Philosophy of Data Science
April 19, 2021 10:20 - 1 hour - 2.29 GB Video#datascience #science #pseudoscience #criticalthinking #reasoning We each like to think of ourself as scientific. I'm yet to meet someone who would embrace being called "pseudoscientific". But what makes the difference? In this episode, Neil Manson talks about the fallout from Thomas Kuhn's 1962 book "The Structure of Scientific Revolutions" and how this created a playbook for many modern critiques/attacks on scientific activity. We have a new series that centers on the discussion of scien...
Science vs Pseudoscience | Dien Ho | Philosophy of Data Science
April 08, 2021 03:28 - 58 minutes - 1.37 GB VideoWe have a new series that centers on the discussion of science vs. pseudoscience. Guests of different backgrounds share their insights on what really constitutes science and the highly-contested pseudoscience. In today’s episode, we talk to Professor Dien Ho, PhD, a Professor of Philosophy and Healthcare Ethics, of the Massachusetts College of Pharmacy & Health Science University. Discover how philosophical ideas and theories are applied in hopes of understanding what really counts as scienc...
New Science vs Pseudoscience Series (+ Renaming the Podcast)
April 07, 2021 19:48 - 5 minutes - 225 MB VideoWe're launching a series on "Science vs Pseudoscience" tomorrow! Also we've rebranded to better reflect the focus of the podcast. The focus of the podcast isn't changing - it's still data science, critical scientistic reasoning, and figuring out how to figure stuff out! Some fun reading on pseudoscience: https://philpapers.org/archive/MONP-1...
Environmental Data Science | Career Q&A
March 11, 2021 11:15 - 1 hour - 2.11 GB VideoWe've received a lot of questions from early career data scientists interested in starting a career in environmental science and climate science. Elizabeth Mannshardt (EPA), Grant Weller (Optum Labs), and Megan Higgs (Critical Inference LLC) sit down to give you your answers! Thinking about a career change to Environmental Data Science? We invite you to listen to some career growth strategies and opportunities in environmental data science” podcast. Throughout the episode we discuss how...
Data Science Career Q&A for Undergrads
February 25, 2021 18:30 - 1 hour - 1.71 GB Video#datascience #career #job Data Science Career Q&A for Undergrads with Mallory LaRusso We continue to answer data science career questions. We've heard back from a lot of different groups about the world of data science. In this episode, we're talking about undergraduate DS job prospects. Mallory LaRusso is a senior at NCSU finishing her BS in Statistics, and Minor in Genetics. Watch/Listen as Glen and Richard answer questions from our guest Malory as she tries to understand ways of how to...
Philosophy of Data Science | Step-change and Anomaly Detection | Alex Bolton
February 16, 2021 16:22 - 59 minutes - 1.5 GB Video#datascience #ai #earlycareer Philosophy of Data Science Series Session 3: Data Science Highlight Reel Episode 4: Alex Bolton on Step-change and Anomaly Detection Who makes it into the highlight reel of data science? Alex Bolton for doing the hard work of analyzing data to figure out exactly when things don't look "normal". We discuss the critical reasoning behind step-change detection and anomaly/novelty detection. Alex provides several real-world examples of the data and chall...
Irina Gaynanova | Replicating Clinical Metrics & Innovating New Methods
February 08, 2021 13:54 - 1 hour - 1.63 GB VideoPhilosophy of Data Science Series Session 3: Data Science Highlight Reel Episode 2: Irina Gaynanova on Replicating Clinical Metrics & Innovating New Methods Who makes it into the highlight reel of data science? Irina Gaynanova for her work on replicating clinical metrics for deployment. She then goes into how her grasp of the scientific domain helps her innovate new methods and metrics. Regardless of whether you work in the clinical domain, this is an example of rigorous scientific th...
Karel Moons | Validating Medical Predictive Models | Philosophy of Data Science
January 21, 2021 19:15 - 1 hour - 1.52 GB VideoPhilosophy of Data Science Series Session 3: Data Science Highlight Reel Episode 2: Karel Moons on Validating Medical Predictive Models Watch it on... YouTube: https://www.youtube.com/watch?v=Y6Qik_5hZog Podbean: Who makes it into the highlight reel of data science? Karel Moons and the classic BMJ Series on validating predictive/prognostic models for the clinic. You can start reading the BMJ Series for your self here: [1] https://www.bmj.com/content/338/bmj.b375 [2] https://www.bmj...
Philosophy of Data Science | S3 E1 | NeuralNets, GANs, Causality, and Medicine
December 15, 2020 11:30 - 1 hour - 1.31 GB VideoPhilosophy of Data Science Series Session 3: Data Science Highlight Reel Episode 1: Adler Perotte on NeuralNets, GANs, Causality, and Medicine Watch it on... YouTube: https://www.youtube.com/watch?v=DOf2lVHzZS4 Podbean: https://podofasclepius.podbean.com/e/philosophy-of-data-science-s3-e1-neuralnets-gans-causality-and-medicine/ Who makes it into the highlight reel of data science? Adler Perotte, because he's a clear thinker on why his data needs a specific type of analysis. In this case,...
Career Q&A: 10 Questions From a Beginner Data Scientist
December 09, 2020 12:25 - 1 hour - 1.63 GB VideoCareer Q&A: 10 Questions From a Beginner Data Scientist Watch it on... YouTube: https://youtu.be/ftikMj7MoYM Podbean: https://podofasclepius.podbean.com/e/career-qa-10-questions-from-a-beginner-data-scientist/ This week's episode is likely of interest to early career data scientists or those interested in joining the field. Richard Franzese (Certara) & Glen Wright Colopy (Pod of Asclepius) team up to answer 10 questions from Ujjwal Oli, an MSc student at George Washington University MSc Pr...
Philosophy of Data Science | Deborah Mayo | Philosophy of Science & Statistics
December 01, 2020 11:00 - 41 minutes - 976 MB VideoPhilosophy of Data Science | Keynote 1 Presentation | Philosophy of Science & Statistics Philosophy of Data Science Series Keynote with Deborah Mayo Episode 2: The Philosophy of Science & Statistics In the first keynote of the Philosophy of Data Science Series we have a 2-part interview with Deborah Mayo (Virginia Tech). In the second part of our keynote, Deborah Mayo covers the interplay between scientific and statistical philosophy. Deborah highlights some common scientific fallacies, a...
Philosophy of Data Science | Keynote 1 Presentation | Philosophy of Science & Statistics
December 01, 2020 11:00 - 41 minutes - 976 MB VideoPhilosophy of Data Science | Keynote 1 Presentation | Philosophy of Science & Statistics Philosophy of Data Science Series Keynote with Deborah Mayo Episode 2: The Philosophy of Science & Statistics In the first keynote of the Philosophy of Data Science Series we have a 2-part interview with Deborah Mayo (Virginia Tech). In the second part of our keynote, Deborah Mayo covers the interplay between scientific and statistical philosophy. Deborah highlights some common scientific fallacies, a...
Philosophy of Data Science | Keynote 1 Interview | Revolutions, Reforms, and Severe Testing in Statistical Thinking
November 24, 2020 12:32 - 53 minutes - 1.2 GB VideoPhilosophy 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. - T...
Philosophy of Data Science | S01 E04 | Values and Subjectivity in Data Science
November 16, 2020 15:48 - 1 hour - 1.73 GB VideoPhilosophy of Data Science Series Session 1: Scientific Reasoning for Practical Data Science Episode 4: Values and Subjectivity in Data Science The Value-Free Ideal is a central tenant of objective science. But how do values, value judgements, and subjectivity leak into the practice of data science and statistics. To what extent is it desirable for science to be informed by values? Kevin Zollman (Carnegie Mellon University) covers the range of key ideas, from Heather E. Douglas to W.E....
Philosophy of Data Science | S02 E04 | Intro to Abductive Reasoning for Data Scientists
November 09, 2020 21:08 - 20 minutes - 457 MB VideoPhilosophy of Data Science Series Session 2: Essential Reasoning Skills for Data Science Episode 4: Intro to Abductive Reasoning for Data Scientists Watch it on... YouTube: https://youtu.be/SzQn9SPVhRU Podbean: https://podofasclepius.podbean.com/e/philosophy-of-data-science-s02-e04-intro-to-abductive-reasoning-for-data-scientists/ The third and final of our (planned) short tutorials on key modes of critical reasoning. Abduction is common called "inference to the best explanation"...so it...
Philosophy of Data Science | S02 E03 | Intro to Inductive Reasoning for Data Scientists
November 02, 2020 12:52 - 14 minutes - 294 MB VideoPhilosophy of Data Science Series Session 2: Essential Reasoning Skills for Data Science Episode 3: Intro to Inductive Reasoning for Data Scientists Watch it on... YouTube: https://youtu.be/lNOUvOUE_KE Podbean: https://podofasclepius.podbean.com/e/philosophy-of-data-science-s02-e03-intro-to-inductive-reasoning-for-data-scientists/ New episodes of the Philosophy of Data Science Series will now be published on Mondays! Today's episode is a short introduction to a fundamental concept. Defi...
Philosophy of Data Science | S02 E02 | Intro to Deductive Reasoning for Data Scientists
October 28, 2020 16:44 - 20 minutes - 472 MB VideoPhilosophy of Data Science Series Session 2: Essential Reasoning Skills for Data Science Episode 2: Intro to Deductive Reasoning for Data Scientists Watch it on... YouTube: https://youtu.be/y93D-55wgX8 Podbean: Deductive reasoning pervades statistics and data science...but how far can it get us to the right conclusion from data? Elina Vessonen (Finnish Institute of Health) gives a great 20-minute presentation reviewing the role of deduction in scientific reasoning. Elina begins with a c...
Philosophy of Data Science | S02 E01 | Round Table on Essential Reasoning Skills for Data Science
October 21, 2020 20:21 - 53 minutes - 1.19 GB VideoPhilosophy of Data Science Series Session 2: Essential Reasoning Skills for Data Science Episode 1: Round Table on Essential Reasoning Skills for Data Science Session 2 "Essential Reasoning Skills for Data Scientists" is kicking off with a roundtable discussion with Elina Vessonen (Finnish Institute for Health & Welfare), Joseph Wu (Brown University), and Huub Brouwer (Tilburg University & Utrecht University). One of the major challenges in data science is that we use three differe...
Philosophy of Data Science | S01 E03 | Communicating the Science in Data Science
October 07, 2020 17:40 - 51 minutes - 1.29 GB VideoPhilosophy of Data Science Series Session 1: Scientific Reasoning for Practical Data Science Episode 3: Communicating the Science in Data Science One of the biggest challenges in data scientists is to communicate why your work matters. Kathy Ensor (ASA 2022 President and Rice University’s Noah Harding Professor of Statistics) covers how to distinguish yourself as a professional by communicating both your scientific and technical value. (Hint: The same scientific reasoning that helps yo...
Philosophy of Data Science | S01 E02 | Scientific Reasoning for Practical Data Science
September 30, 2020 17:16 - 55 minutes - 1.23 GB VideoPhilosophy of Data Science Series Session 1: Scientific Reasoning for Practical Data Science Episode 2: Scientific Reasoning for Practical Data Science Scientific reasoning plays an essential role in data science and statistics, both for developing new methods and applying our methods to real-world problems. In Session 1's titular episode, Andrew Gelman talks through the role of scientific thinking in his approach to data analysis. He also highlights the good ideas that have been generated ...
Philosophy of Data Science | S01 E01 | Critical Reasoning in Medical Machine Learning
September 23, 2020 17:37 - 56 minutes - 1.28 GB VideoPhilosophy of Data Science Series Session 1: Scientific Reasoning for Practical Data Science Episode 1: Critical Reasoning in Medical Machine Learning Data science in medicine and healthcare requires not only algorithmic and statistical knowledge but also a strong appreciation of the clinical environment in which (i) the data is being collected and (ii) the algorithm will be used. I'll showcase a scenario where a machine learning system failed to perform a "simple" clinical task and ho...
Philosophy of Data Science | S01E00 | Welcome to the Series!
September 16, 2020 19:12 - 18 minutes - 413 MB VideoThe Philosophy of Data Science Series Session 1: Scientific Reasoning for Practical Data Science Episode 0: Welcome to the Philosophy of Data Science Series! This is our very first episode of "The Philosophy of Data Science" series on Pod of Asclepius! We go over our plans for the series plus some thoughts on why data science is such a rich field for discussions on scientific reasoning. Your time is valuable and you deserve a good explanation of why the topics were chosen and how t...
Innovative Trial Design & Master Protocols: Lisa Lavange | Pod of Asclepius
September 09, 2020 19:52 - 44 minutes - 1.3 GB VideoLisa LaVange (Gillings School of Global Public Health at the University of North Carolina at Chapel Hill) was the 2018 American Statistical Association (ASA) president and the director of the Office of Biostatistics in the Center for Drug Evaluation and Research (CDER) at the FDA. She give a high-level overview of issues surrounding Innovative Trial Design and Master Protocols. A great listen for anyone wanting to be introduced to the subject or (for those already familiar) interested in it...