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Data & Science with Glen Wright ColopyData & Science with Glen Wright ColopyPhilosophy of Data Science | Deborah Mayo | Revolutions, Reforms, and Severe Testing in Statistical ThinkingPhilosophy 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 i...2022-02-0453 minData & Science with Glen Wright ColopyData & Science with Glen Wright ColopyKarel Moons | Validating Medical Predictive Models | Philosophy of Data Science Philosophy 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.com/content/338/bmj.b604 [3] https://www.bmj.com/content/338/bmj.b605 [4] https://www.bmj.com/content/338/bmj.b606   You can join our mai...2021-01-211h 08Data & Science with Glen Wright ColopyData & Science with Glen Wright ColopyPhilosophy of Data Science | S3 E1 | NeuralNets, GANs, Causality, and MedicinePhilosophy 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, it's the need to draw causal inferences from observational data. Go, GANS! Go! You can join our mail list at...2020-12-151h 03Data & Science with Glen Wright ColopyData & Science with Glen Wright ColopyCareer Q&A: 10 Questions From a Beginner Data ScientistCareer 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 Program. The questions range from technical requirements, to desirable soft skills and domain knowledge, to "how can I get an internship...2020-12-091h 13Data & Science with Glen Wright ColopyData & Science with Glen Wright ColopyPhilosophy of Data Science | Deborah Mayo | Philosophy of Science & StatisticsPhilosophy 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, along with suggestions of where statistical thinking can be made more rigorous. Watch it on...  YouTube: https://youtu.be/9GGAXZ6ht...2020-12-0141 minData & Science with Glen Wright ColopyData & Science with Glen Wright ColopyPhilosophy of Data Science | S01 E04 | Values and Subjectivity in Data SciencePhilosophy 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.B. du Bois.   Watch it on... YouTube: https://yo...2020-11-161h 17Data & Science with Glen Wright ColopyData & Science with Glen Wright ColopyPhilosophy of Data Science | S02 E04 | Intro to Abductive Reasoning for Data ScientistsPhilosophy 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's easy to see why this concept is important for data scientists.  Huub Brouwer (Utrecht University) walks us through a brief tutorial on how even a wor...2020-11-0920 minData & Science with Glen Wright ColopyData & Science with Glen Wright ColopyPhilosophy of Data Science | S02 E03 | Intro to Inductive Reasoning for Data ScientistsPhilosophy 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. Definitely worth your time! Inductive reasoning is the fundamental challenge to scientific rigor. Induction is baked into methods like K-fold cross validation or generalizing fr...2020-11-0214 minData & Science with Glen Wright ColopyData & Science with Glen Wright ColopyPhilosophy of Data Science | S02 E02 | Intro to Deductive Reasoning for Data ScientistsPhilosophy 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 common statistical example and then covers common deductive fallacies and their role in science. It's a s...2020-10-2820 minData & Science with Glen Wright ColopyData & Science with Glen Wright ColopyPhilosophy of Data Science | S02 E01 | Round Table on Essential Reasoning Skills for Data SciencePhilosophy 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 different modes of critical reasoning (deduction, induction, and abduction) on a daily (or even hourly) basis. It's important to un...2020-10-2153 minData & Science with Glen Wright ColopyData & Science with Glen Wright ColopyPhilosophy of Data Science | S01 E03 | Communicating the Science in Data SciencePhilosophy 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 you do good work in data science will also help you critically assess “how” and “what” to communicate.)   Watch it o...2020-10-0751 minData & Science with Glen Wright ColopyData & Science with Glen Wright ColopyPhilosophy of Data Science | S01 E02 | Scientific Reasoning for Practical Data SciencePhilosophy 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 by the wider statistical community.  Watch it on... YouTube: https://youtu.be/R6mq5Esjzfw   Co...2020-09-3055 minData & Science with Glen Wright ColopyData & Science with Glen Wright ColopyEarly Career Services in Statistics and Data Science - Wendy Martinez @Pod of AsclepiusHear about new episodes as they come out by joining our mail list: https://www.podofasclepius.com/mail-list   You can find the Virtual Undergraduate Career Fair here: https://ww2.amstat.org/virtualcareerservice/   2020-05-1110 min