Math! Science! History! is about the history of people, theories, and discoveries that have moved our scientific progress forward and spurred us on to unimaginable discoveries. Join Gabrielle Birchak for a little math, a little science, and a little history. All in a little bit of time.

Keep it casual with the Casual Inference podcast. Your hosts Lucy D'Agostino McGowan and Ellie Murray talk all things epidemiology, statistics, data science, causal inference, and public health. Sponsored by the American Journal of Epidemiology.

Katie Steckles and Peter Rowlett chat about some aspect of mathematics using a mathematical object as inspiration.

L'oreille mathématique est le nouveau podcast radio dédié aux mathématiques et à la physique théorique produit par l'Institut Henri Poincaré. Dans « L’oreille mathématique », nous parlons d’enseignement, de vocations, de recherche en mathématiques ; nous faisons dialoguer les mathématiciennes et les mathématiciens avec des chercheurs d’autres disciplines, et nous donnons la parole à de nouveaux visages de la communauté scientifique d’aujourd’hui. Chaque épisode prend la forme d'une conversation d'une trentaine de minutes.

Cracking tales of historical mathematics and its interplay with science, philosophy, and culture. Revisionist history galore. Contrarian takes on received wisdom. Implications for teaching. Informed by current scholarship. By Dr Viktor Blåsjö.

Definición

Mathematik anders erzählt. Wir stellen die Menschen hinter der Mathematik in den Mittelpunkt und erzählen ihre Geschichte. Es geht um Pistolenduelle, um die Revolution und die große Liebe, um einen Leserbrief-Shitstorm und Plagiate unter Freunden. Es gibt also jede Menge Drama! Dazu erklären wir in jeder Folge eine große Idee der Mathematik – so, dass sie jeder versteht. Das alles hört ihr jeden zweiten Mittwoch in “Geschichten aus der Mathematik” – ein detektor.fm-Podcast in Kooperation mit Spektrum der Wissenschaft.

Kyne Santos, a drag queen and mathematics educator living in Canada, is a big fan of the Fundamental Theorem of Calculus. Also hiking.

Breaking Math is a deep-dive science, technology, engineering, AI, and mathematics podcast that explores the world through the lens of logic, patterns, and critical thinking. Hosted by Autumn Phaneuf, an expert in industrial engineering, operations research and applied mathematics, and Gabriel Hesch, an electrical engineer (host from 2016-2024) with a passion for mathematical clarity, the show is dedicated to uncovering the mathematical structures behind science, engineering, technology, and the systems that shape our future. What began as a conversation about math as a pure and elegant discipline has evolved into a platform for bold, interdisciplinary dialogue. Each episode of Breaking Math takes listeners on an intellectual journey—whether it’s into the strange beauty of chaos theory, the ethical dilemmas of AI, the deep structures of biological evolution, or the thermodynamics of black holes. Along the way, Autumn and Gabriel interview leading thinkers and working scientists from across the spectrum: computer scientists, quantum physicists, chemists, philosophers, neuroscientists, and more. But this isn’t just a podcast about equations—it’s a show about how mathematics influences the way we think, create, build, and understand. Breaking Math pushes back against the idea that STEM belongs behind a paywall or an academic podium. It’s for the curious, the critical, the creative—for anyone who believes that ideas should be rigorous, accessible, and infused with wonder. If you've ever wondered: * What’s the math behind machine learning? * How do we quantify uncertainty in climate models? * Can consciousness be described in AI? * Why does beauty matter in an equation? Then you’re in the right place. At its heart, Breaking Math is about building bridges—between disciplines, between experts and the public, and between the abstract world of mathematics and the messy, magnificent reality we live in. With humor, clarity, and deep respect for complexity, Autumn and Gabriel invite you to rethink what math can be—and how it can help us shape a better future. Listen wherever you get your podcasts. Website: https://breakingmath.io [https://breakingmath.io/] Linktree: https://linktr.ee/breakingmathmedia Email: breakingmathpodcast@gmail.com

The Cartesian Cafe is the podcast where an expert guest and Timothy Nguyen map out scientific and mathematical subjects in detail. This collaborative journey with other experts will have us writing down formulas, drawing pictures, and reasoning about them together on a whiteboard. If you’ve been longing for a deeper dive into the intricacies of scientific subjects, then this is the podcast for you. Topics covered include mathematics, physics, machine learning, artificial intelligence, and computer science. Content also viewable on YouTube: www.youtube.com/timothynguyen and Spotify. Timothy Nguyen is a mathematician and AI researcher working in industry. Homepage: www.timothynguyen.com, Twitter: @IAmTimNguyen Patreon: www.patreon.com/timothynguyen

A podcast on statistical science and clinical trials. Explore the intricacies of Bayesian statistics and adaptive clinical trials. Uncover methods that push beyond conventional paradigms, ushering in data-driven insights that enhance trial outcomes while ensuring safety and efficacy. Join us as we dive into complex medical challenges and regulatory landscapes, offering innovative solutions tailored for pharma pioneers. Featuring expertise from industry leaders, each episode is crafted to provide clarity, foster debate, and challenge mainstream perspectives, ensuring you remain at the forefront of clinical trial excellence.

Conversations, explorations, conjectures solved and unsolved, mathematicians and beautiful mathematics. No math background required.

🎙️Tête-à-tête Chercheuse(s), le podcast de conversations qui répondra à votre question "C'est quoi une chercheuse en Mathématiques ?" ▶️ Dans une ambiance chaleureuse et détendue, Nathalie Ayi, Maîtresse de conférences en Mathématiques, reçoit des collègues chercheurs et chercheuses pour des discussions passionnantes. Avec beaucoup de recul et simplicité, ils reviennent sur leurs parcours et les chemins qui les ont conduits à la carrière qu'ils mènent aujourd'hui. Ils livrent leur vision du métier de chercheur et nous racontent avec enthousiasme les maths qu'ils pratiquent et les animent. ➡️ Du lycée au doctorat, si vous êtes étudiants et que vous vous posez des questions sur votre orientation et vos choix de carrière, ce podcast est pour vous. Pour tous les autres, si vous êtes intéressés par les sciences de façon générale, ou pas d'ailleurs, si vous êtes simplement curieux et friands de récits de parcours et de partage d'expériences humaines, vous êtes au bon endroit. 📆 Fréquence de sortie : un nouvel épisode par mois. 📱Réseaux Sociaux : Instagram, Facebook, Twitter, Youtube Channel, tous disponibles au lien suivant https://linktr.ee/tat_chercheuses  🎙️Podcast créé et animé par Nathalie Ayi 🖼️ Cover et logos : Nathalie Ayi, Kléa Conde 📷 Photographie : Stéphane Hussein 🏢 Affiliation : Sorbonne Université, Laboratoire Jacques Louis Lions (UMR7598 - CNRS/Sorbonne Université/Université Paris Cité) Hébergé par Ausha. Visitez ausha.co/fr/politique-de-confidentialite pour plus d'informations.

In The Universe Speaks in Numbers award-winning science writer Graham Farmelo is in conversation with some of the great names in modern physics and mathematics. Among the interviewees are Michael Atiyah, Ruth Britto, Lance Dixon, Simon Donaldson, Freeman Dyson, Juan Maldacena, Michela Massimi, Roger Penrose, Martin Rees, Simon Schaffer and Edward Witten.To read more see Graham's book The Universe Speaks in Numbers: How Modern Maths Reveals Nature's Deepest Secrets.

---

Hosted on Acast. See acast.com/privacy for more information.

We discuss seminal mathematical papers (sometimes really old 😎 ) that have shaped and established the fields of machine learning and data science as we know them today. The goal of the podcast is to introduce you to the evolution of these fields from a mathematical and slightly philosophical perspective. We will discuss the contribution of these papers, not just from pure a math aspect but also how they influenced the discourse in the field, which areas were opened up as a result, and so on. Our podcast episodes are also available on our youtube: https://youtu.be/wThcXx_vXjQ?si=vnMfs

In our latest paper reading, we had the pleasure of hosting Grégoire Mialon — Research Scientist at Meta Superintelligence Labs — to walk us through Meta AI’s groundbreaking paper titled “ARE: scaling up agent environments and evaluations" and the new ARE and Gaia2 frameworks. Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.