Best Causal Machine Learning Podcasts (2025)

1
Network of Past Guests Collaborations 34:10

5d ago34:10

34:10

Kyle and Asaf discuss a project in which we link former guests of the podcast based on their co-authorship of academic papers.

1
AI, Trust, and Collaboration: a conversation with Knowledge Quarter CEO, Jodie Eastwood 38:04

10d ago38:04

38:04

In this special summer episode of Gateway to Informatics, we feature a live recording from the Bloomsbury Institute in London. Host Philip Payne, PhD is joined by Jodie Eastwood, CEO of the Knowledge Quarter, and Thomas Kannampallil, PhD, Professor and Chief Data Scientist at WashU Medicine. The episode dives deep into the innovative ecosystem of t…

1
The Network Diversion Problem 46:14

21d ago46:14

46:14

In this episode, Professor Pål Grønås Drange from the University of Bergen, introduces the field of Parameterized Complexity - a powerful framework for tackling hard computational problems by focusing on specific structural aspects of the input. This framework allows researchers to solve NP-complete problems more efficiently when certain parameters…

1
Complex Dynamic in Networks 56:00

29d ago56:00

56:00

In this episode, we learn why simply analyzing the structure of a network is not enough, and how the dynamics - the actual mechanisms of interaction between components - can drastically change how information or influence spreads. Our guest, Professor Baruch Barzel of Bar-Ilan University, is a leading researcher in network dynamics and complex syst…

1
Github Network Analysis 36:46

1M ago36:46

36:46

In this episode we'll discuss how to use Github data as a network to extract insights about teamwork. Our guest, Gabriel Ramirez, manager of the notifications team at GitHub, will show how to apply network analysis to better understand and improve collaboration within his engineering team by analyzing GitHub metadata - such as pull requests, issues…

1
Building the Future of Public Health: A Conversation with Dr. Sandro Galea 39:49

1M ago39:49

39:49

In the latest episode of Gateway to Informatics, Dr. Philip Payne, WashU Medicine's Chief Data Scientist, hosts Dr. Sandro Galea, the inaugural Margaret C Ryan Dean of the newly established Washington University School of Public Health. Dr. Galea, a renowned population health scientist and physician, shares his extraordinary journey from Malta to C…

1
Networks and Complexity 17:49

1M ago17:49

17:49

In this episode, Kyle does an overview of the intersection of graph theory and computational complexity theory. In complexity theory, we are about the runtime of an algorithm based on its input size. For many graph problems, the interesting questions we want to ask take longer and longer to answer! This episode provides the fundamental vocabulary a…

1
Causal Inference, Human Behavior, Science Crisis & The Power of Causal Graphs | Julia Rohrer S2E5 | CausalBanditsPodcast.com 1:22:27

2M ago1:22:27

1:22:27

Send us a text *Causal Inference From Human Behavior, Reproducibility Crisis & The Power of Causal Graphs* Is Jonathan Heidt right that social media causes the mental health crisis in young people? If so, how can we be sure? Can other disciplines learn something from the reproducibility crisis in Psychology, and what is multiverse analysis? Join us…

1
Actantial Networks 37:34

2M ago37:34

37:34

In this episode, listeners will learn about Actantial Networks—graph-based representations of narratives where nodes are actors (such as people, institutions, or abstract entities) and edges represent the actions or relationships between them. The one who will present these networks is our guest Armin Pournaki, a joint PhD candidate at the Max Plan…

1
Graphs for Causal AI 41:00

2M ago41:00

41:00

How to build artificial intelligence systems that understand cause and effect, moving beyond simple correlations? As we all know, correlation is not causation. "Spurious correlations" can show, for example, how rising ice cream sales might statistically link to more drownings, not because one causes the other, but due to an unobserved common cause …

1
Power Networks 41:50

2M ago41:50

41:50

1
Unveiling Graph Datasets 44:12

3M ago44:12

44:12

1
Network Manipulation 40:58

3M ago40:58

40:58

In this episode we talk with Manita Pote, a PhD student at Indiana University Bloomington, specializing in online trust and safety, with a focus on detecting coordinated manipulation campaigns on social media. Key insights include how coordinated reply attacks target influential figures like journalists and politicians, how machine learning models …

1
The Small World Hypothesis 17:25

3M ago17:25

17:25

Kyle discusses the history and proof for the small world hypothesis.

1
Transforming Health Systems Through Causal Inference: A Conversation with Dr. Miguel Hernán 38:23

3M ago38:23

38:23

In this episode of "Gateway to Informatics," Dr. Philip Payne, the WashU medicine chief data scientist and director of I2DB, engages in a thought-provoking conversation with Dr. Miguel Hernán, a leading expert in causal inference from the Harvard T.H. Chan School of Public Health. Dr. Hernán shares insights into his career journey, which began unex…

1
MSFT Scientist: Agents, Causal AI & Future of DoWhy | Amit Sharma S2E4 | CausalBanditsPodcast.com 1:10:43

3M ago1:10:43

1:10:43

Send us a text *Agents, Causal AI & The Future of DoWhy* The idea of agentic systems taking over more complex human tasks is compelling. New "production-grade" frameworks to build agentic systems pop up, suggesting that we're close to achieving full automation of these challenging multi-step tasks. But is the underlying agentic technology itself re…

1
Thinking in Networks 33:55

4M ago33:55

33:55

Kyle asks Asaf questions about the new network science course he is now teaching. The conversation delves into topics such as contact tracing, tools for analyzing networks, example use cases, and the importance of thinking in networks.

1
Fraud Networks 42:55

4M ago42:55

42:55

In this episode we talk with Bavo DC Campo, a data scientist and statistician, who shares his expertise on the intersection of actuarial science, fraud detection, and social network analytics. Together we will learn how to use graphs to fight against insurance fraud by uncovering hidden connections between fraudulent claims and bad actors. Key insi…

1
Causal Secrets of N=1 Experiments | Eric Daza S2E3 | CausalBanditsPodcast.com 1:01:47

4M ago1:01:47

1:01:47

Send us a text 📽️ FREE Online Course on Causality 📕 Causal Inference & Discovery in Python Causal Secrets of N=1 Experiments Join me for a one of a kind conversation on the opportunities and challenges of n-of-1 trials, Eric's causal journey, his path into statistics, his love of sci-fi, and how single-subject experiments could reshape personalized…

1
Transforming Government through Digital Innovation: A Conversation with Jennifer Pahlka 37:45

4M ago37:45

37:45

In this compelling episode of Gateway to Informatics, Dr. Philip Payne, WashU's chief data scientist and director of the Institute for Informatics, Data Science and Biostatistics (I2DB), delves into an insightful discussion with Jennifer Pahlka, author of Recoding America: Why Government Is Failing in the Digital Age and How We Can Do Better. Pahlk…

1
Criminal Networks 43:35

4M ago43:35

43:35

In this episode we talk with Justin Wang Ngai Yeung, a PhD candidate at the Network Science Institute at Northeastern University in London, who explores how network science helps uncover criminal networks. Justin is also a member of the organizing committee of the satellite conference dealing with criminal networks at the network science conference…

1
Graph Bugs 29:01

5M ago29:01

29:01

In this episode today’s guest is Celine Wüst, a master’s student at ETH Zurich specializing in secure and reliable systems, shares her work on automated software testing for graph databases. Celine shows how fuzzing—the process of automatically generating complex queries—helps uncover hidden bugs in graph database management systems like Neo4j, Fal…

Podcasts Worth a Listen

Causal Machine Learning Podcasts

Podcasts Worth a Listen

1
Data Skeptic

Kyle Polich

1
Causal Bandits Podcast

Alex Molak

1
Gateway to Informatics

Dr. Philip Payne, Institute for Informatics, Data Science & Biostatistics (I2DB), WashU Medicine

1
Network of Past Guests Collaborations 34:10

1
AI, Trust, and Collaboration: a conversation with Knowledge Quarter CEO, Jodie Eastwood 38:04

1
The Network Diversion Problem 46:14

1
Complex Dynamic in Networks 56:00

1
Github Network Analysis 36:46

1
Building the Future of Public Health: A Conversation with Dr. Sandro Galea 39:49

1
Networks and Complexity 17:49

1
Causal Inference, Human Behavior, Science Crisis & The Power of Causal Graphs | Julia Rohrer S2E5 | CausalBanditsPodcast.com 1:22:27

1
Actantial Networks 37:34

1
Graphs for Causal AI 41:00

1
Power Networks 41:50

1
Unveiling Graph Datasets 44:12

1
Network Manipulation 40:58

1
The Small World Hypothesis 17:25

1
Transforming Health Systems Through Causal Inference: A Conversation with Dr. Miguel Hernán 38:23

1
MSFT Scientist: Agents, Causal AI & Future of DoWhy | Amit Sharma S2E4 | CausalBanditsPodcast.com 1:10:43

1
Thinking in Networks 33:55

1
Fraud Networks 42:55

1
Causal Secrets of N=1 Experiments | Eric Daza S2E3 | CausalBanditsPodcast.com 1:01:47

1
Transforming Government through Digital Innovation: A Conversation with Jennifer Pahlka 37:45

1
Criminal Networks 43:35

1
Graph Bugs 29:01

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