technology
Hosted by Kyle Polich · technology · EN
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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Contact path
Verified email
Booking probability
39%
Guest openness
Selective
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Signup to Generate a PitchThe 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.
Data Skeptic is hosted by Kyle Polich. The show has published 611 episodes to date.
Recent episodes include "TastePrint" (29 October 2026, 26 minutes), "Gestures Around the Ear" (18 October 2026, 30 minutes), and "Implicit Interactions" (5 October 2026, 45 minutes).
Data Skeptic publishes roughly every two weeks, with episodes averaging 36 minutes across 611 episodes.
Booking probability for Data Skeptic is 39%, and the host is rated Selective on guests. Data Skeptic requires a Pod Score of 80 or higher. Data Skeptic's contact route on record: verified email.
The strongest fits for Data Skeptic are IT Services & Software Development. Data Skeptic has a technology audience.
Kyle Polich hosts Data Skeptic, a technology podcast with 611 episodes published.
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Data Skeptic
What if we could 3D print food with customized flavors and textures? Yamato Miyatake joins us to explore how digital food fabrication, human-computer interaction, and AI could transform the future of cooking and dining.
Data Skeptic
The next evolution of wearable technology may not require new screens or controllers, but new ways to interact with the devices we already wear. Shimon explores how gesture-sensing earbuds could transform virtual...
Data Skeptic
How do we design robots and autonomous vehicles that understand the unwritten rules of human behavior? Kyle speaks with Cornell Tech professor Wendy Ju about implicit interaction, "Wizard of Oz" prototyping, and what...
Data Skeptic
The data we collect about ourselves can tell us a lot—but only if the technology collecting it actually fits into our lives. Daniel Epstein explores personal informatics, from fitness trackers and food journals to baby...
Data Skeptic
In the final episode of our Recommender Systems season, we explore the growing questions of trust, manipulation, privacy, fairness, sustainability, and user control. From fake reviews and shilling attacks to explainable...
Data Skeptic
In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult question: what should recommender systems actually optimize for? Drawing on conversations from across the season, the...
Data Skeptic
Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the...
Data Skeptic
Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of...
Data Skeptic
News recommendation algorithms influence far more than what stories we click—they can shape our understanding of the world. In this episode, Kyle Polich speaks with Andreea Iana about responsible AI, filter bubbles...
Data Skeptic
What if you could simply tell a recommendation system what you want instead of relying on likes, dislikes, and watch history? Kyle Polich talks with Fuyuan Lyu about the DPR framework, which combines large language...
Data Skeptic
How can researchers audit recommendation systems when the algorithms are hidden from view? Hieu Le joins Kyle Polich to discuss Auto-Like, a reinforcement learning framework that systematically explores how platforms...
Data Skeptic
Aaron Payne, an MBA student at Georgia Tech studying business analytics and a Senior Insights Analyst at Chick-fil-A, joins Kyle Polich to talk about turning analytics into decisions that matter. They unpack a...
Data Skeptic
Kyle Polich sits down with Yashar Deldjoo, research scientist and Associate Professor at the Polytechnic University of Bari, to explore how recommender systems have evolved and why trustworthiness matters. They unpack...
Data Skeptic
Goodreads star ratings can be misleading as measures of "book quality," and research from Hannes Rosenbusch suggests that for many professionally published books, differences between readers often matter more than...
Ervin Dervishaj, a PhD student at the University of Copenhagen, discusses his research on disentangled representation learning in recommender systems, finding that while disentanglement strongly correlates with...
Data Skeptic
Ekaterina (Kat) Fedorova from MIT EECS joins us to discuss strategic learning in recommender systems—what happens when users collectively coordinate to game recommendation algorithms. Kat's research reveals surprising...
Data Skeptic
Anas Buhayh discusses multi-stakeholder fairness in recommender systems and the S'mores framework—a simulation allowing users to choose between mainstream and niche algorithms. His research shows specialized...
Data Skeptic
In this episode, host Kyle Polich speaks with Roan Schellingerhout, a fourth-year PhD student at Maastricht University, about explainable multi-stakeholder recommender systems for job recruitment. Roan discusses his...
Data Skeptic
In this episode, we explore the fascinating world of recommender systems and algorithmic fairness with David Liu, Assistant Research Professor at Cornell University's Center for Data Science for Enterprise and Society...
Data Skeptic
In this episode, Kyle Polich sits down with Cory Zechmann , a content curator working in streaming television with 16 years of experience running the music blog "Silence Nogood." They explore the intersection of human...
Recent guests on Data Skeptic. Study who booked and why before you pitch.
Biologist at Stanford University, Northwest Wellness and Memory Center
postdoctoral associate, Functional Dog Collaborative
author, speaker and policy advisor, Saskatchewan School Boards Association
Assistant Professor of Computational Social Science at the University of Amsterdam, University of Amsterdam
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