Data Skeptic

Updated: 30 Apr 2025 • 572 episodes
dataskeptic.com

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.

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30 Apr 2025 • EN

Network Manipulation

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 politician

40 min
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21 Apr 2025 • EN

The Small World Hypothesis

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

17 min
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17:25
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12 Apr 2025 • EN

Thinking in Networks

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.

33 min
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33:55
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01 Apr 2025 • EN

Fraud Networks

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 c

42 min
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42:55
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17 Mar 2025 • EN

Criminal Networks

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

43 min
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10 Mar 2025 • EN

Graph Bugs

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 mana

29 min
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