Shows / Data Skeptic
Data Skeptic
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.
Episodes
Data SkepticTranslation Automation
Today we are back with another episode discussing AI in the work field. AI has, is, and will continue to facilitate the automation of work done by humans…
Data SkepticTime Series at the Beach
Shane Ross, Professor of Aerospace and Ocean Engineering at Virginia Tech University, comes on today to talk about his work "Beach-level 24-hour forecasts of…
Data SkepticAutomatic Identification of Outlier Galaxy Images
Lior Shamir, Associate Professor of Computer Science at Kansas University, joins us today to talk about the recent paper Automatic Identification of Outliers…
Data SkepticDo We Need Deep Learning in Time Series
Shereen Elsayed and Daniela Thyssens, both are PhD Student at Hildesheim University in Germany, come on today to talk about the work "Do We Really Need Deep…
Data SkepticDetecting Drift
Sam Ackerman, Research Data Scientist at IBM Research Labs in Haifa, Israel, joins us today to talk about his work Detection of Data Drift and Outliers…
Data SkepticDarts Library for Time Series
Julien Herzen, PhD graduate from EPFL in Switzerland, comes on today to talk about his work with Unit 8 and the development of the Python Library: Darts.
Data SkepticForecasting Principles and Practice
Welcome to Timeseries! Today's episode is an interview with Rob Hyndman, Professor of Statistics at Monash University in Australia, and author of Forecasting…
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Prequisites for Time Series
Today's experimental episode uses sound to describe some basic ideas from time series. This episode includes lag, seasonality, trend, noise…
Data SkepticOrders of Magnitude
Today's show in two parts. First, Linhda joins us to review the episodes from Data Skeptic: Pilot Season and give her feedback on each of the topics. Second…
Data SkepticThey're Coming for Our Jobs
AI has, is, and will continue to facilitate the automation of work done by humans. Sometimes this may be an entire role. Other times it may automate a…
Data SkepticPandemic Machine Learning Pitfalls
Today on the show Derek Driggs, a PhD Student at the University of Cambridge. He comes on to discuss the work Common Pitfalls and Recommendations for Using…
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Flesch Kincaid Readability Tests
Given a document in English, how can you estimate the ease with which someone will find they can read it? Does it require a college-level of reading…
Data SkepticFairness Aware Outlier Detection
Today on the show we have Shubhranshu Shekar, a Ph. D Student at Carnegie Mellon University, who joins us to talk about his work, FAIROD: Fairness-aware…
Data SkepticLife May be Rare
Today on the show Dr. Anders Sandburg, Senior Research Fellow at the Future of Humanity Institute at Oxford University, comes on to share his work "The Timing…
Data SkepticSocial Networks
Mayank Kejriwal, Research Professor at the University of Southern California and Researcher at the Information Sciences Institute, joins us today to discuss…
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The QAnon Conspiracy
QAnon is a conspiracy theory born in the underbelly of the internet. While easy to disprove, these cryptic ideas captured the minds of many people and (in…
Data SkepticBenchmarking Vision on Edge vs Cloud
Karthick Shankar, Masters Student at Carnegie Mellon University, and Somali Chaterji, Assistant Professor at Purdue University, join us today to discuss the…
Data SkepticGoodhart's Law in Reinforcement Learning
Hal Ashton, a PhD student from the University College of London, joins us today to discuss a recent work Causal Campbell-Goodhart's law and Reinforcement…
Data SkepticVideo Anomaly Detection
Yuqi Ouyang, in his second year of PhD study at the University of Warwick in England, joins us today to discuss his work "Video Anomaly Detection by Estimating…
Data SkepticFault Tolerant Distributed Gradient Descent
Nirupam Gupta, a Computer Science Post Doctoral Researcher at EDFL University in Switzerland, joins us today to discuss his work "Byzantine Fault-Tolerance in…
Data SkepticDecentralized Information Gathering
Mikko Lauri, Post Doctoral researcher at the University of Hamburg, Germany, comes on the show today to discuss the work Information Gathering in Decentralized…
Data SkepticLeaderless Consensus
Balaji Arun, a PhD Student in the Systems of Software Research Group at Virginia Tech, joins us today to discuss his research of distributed systems through…
Data SkepticAutomatic Summarization
Maartje ter Hoeve, PhD Student at the University of Amsterdam, joins us today to discuss her research in automated summarization through the paper "What Makes…
Data SkepticGerrymandering
Brian Brubach, Assistant Professor in the Computer Science Department at Wellesley College, joins us today to discuss his work "Meddling Metrics: the Effects…
Data SkepticEven Cooperative Chess is Hard
Aside from victory questions like "can black force a checkmate on white in 5 moves?" many novel questions can be asked about a game of chess. Some questions…
Data SkepticConsecutive Votes in Paxos
Eil Goldweber, a graduate student at the University of Michigan, comes on today to share his work in applying formal verification to systems and a modification…
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Visual Illusions Deceiving Neural Networks
Today on the show we have Adrian Martin, a Post-doctoral researcher from the University of Pompeu Fabra in Barcelona, Spain. He comes on the show today to…
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Earthquake Detection with Crowd-sourced Data
Have you ever wanted to hear what an earthquake sounds like? Today on the show we have Omkar Ranadive, Computer Science Masters student at NorthWestern…
Data SkepticByzantine Fault Tolerant Consensus
Byzantine fault tolerance (BFT) is a desirable property in a distributed computing environment. BFT means the system can survive the loss of nodes and nodes…
Data SkepticAlpha Fold
Kyle shared some initial reactions to the announcement about Alpha Fold 2's celebrated performance in the CASP14 prediction. By many accounts, this exciting…
Data SkepticArrow's Impossibility Theorem
Above all, everyone wants voting to be fair. What does fair mean and how can we measure it? Kenneth Arrow posited a simple set of conditions that one would…
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Face Mask Sentiment Analysis
As the COVID-19 pandemic continues, the public (or at least those with Twitter accounts) are sharing their personal opinions about mask-wearing via Twitter…
Data SkepticCounting Briberies in Elections
Niclas Boehmer, second year PhD student at Berlin Institute of Technology, comes on today to discuss the computational complexity of bribery in elections…
Data SkepticSybil Attacks on Federated Learning
Clement Fung, a Societal Computing PhD student at Carnegie Mellon University, discusses his research in security of machine learning systems and a defense…
Data SkepticDifferential Privacy at the US Census
Simson Garfinkel, Senior Computer Scientist for Confidentiality and Data Access at the US Census Bureau, discusses his work modernizing the Census Bureau…
Data SkepticDistributed Consensus
Computer Science research fellow of Cambridge University, Heidi Howard discusses Paxos, Raft, and distributed consensus in distributed systems alongside with…
Data SkepticACID Compliance
Linhda joins Kyle today to talk through A.C.I.D. Compliance (atomicity, consistency, isolation, and durability). The presence of these four components can…
Data SkepticNational Popular Vote Interstate Compact
Patrick Rosenstiel joins us to discuss the The National Popular Vote.
Data SkepticRetraction Watch
Ivan Oransky joins us to discuss his work documenting the scientific peer-review process at retractionwatch.com.
Data SkepticCrowdsourced Expertise
Derek Lim joins us to discuss the paper Expertise and Dynamics within Crowdsourced Musical Knowledge Curation: A Case Study of the Genius Platform.
Data SkepticThe Spread of Misinformation Online
Neil Johnson joins us to discuss the paper The online competition between pro- and anti-vaccination views.
Data SkepticConsensus Voting
Mashbat Suzuki joins us to discuss the paper How Many Freemasons Are There? The Consensus Voting Mechanism in Metric Spaces. Check out Mashbat's and many other…
Data SkepticVoting Mechanisms
Steven Heilman joins us to discuss his paper Designing Stable Elections. For a general interest article, see…
Data SkepticFalse Consensus
Sami Yousif joins us to discuss the paper The Illusion of Consensus: A Failure to Distinguish Between True and False Consensus. This work empirically explores…
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Fraud Detection in Real Time
In this solo episode, Kyle overviews the field of fraud detection with eCommerce as a use case. He discusses some of the techniques and system architectures…
Data SkepticListener Survey Review
In this episode, Kyle and Linhda review the results of our recent survey. Hear all about the demographic details and how we interpret these results.
Data SkepticHuman Computer Interaction and Online Privacy
Moses Namara from the HATLab joins us to discuss his research into the interaction between privacy and human-computer interaction.
Data SkepticAuthorship Attribution of Lennon McCartney Songs
Mark Glickman joins us to discuss the paper Data in the Life: Authorship Attribution in Lennon-McCartney Songs.
Data SkepticGANs Can Be Interpretable
Erik Härkönen joins us to discuss the paper GANSpace: Discovering Interpretable GAN Controls. During the interview, Kyle makes reference to this amazing…
Data SkepticSentiment Preserving Fake Reviews
David Ifeoluwa Adelani joins us to discuss Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based…
Data SkepticInterpretability Practitioners
Sungsoo Ray Hong joins us to discuss the paper Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs.
Data SkepticFacial Recognition Auditing
Deb Raji joins us to discuss her recent publication Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing.
Data SkepticRobust Fit to Nature
Uri Hasson joins us this week to discuss the paper Robust-fit to Nature: An Evolutionary Perspective on Biological (and Artificial) Neural Networks.
Data SkepticBlack Boxes Are Not Required
Deep neural networks are undeniably effective. They rely on such a high number of parameters, that they are appropriately described as "black boxes". While…
Data SkepticRobustness to Unforeseen Adversarial Attacks
Daniel Kang joins us to discuss the paper Testing Robustness Against Unforeseen Adversaries.
Data SkepticEstimating the Size of Language Acquisition
Frank Mollica joins us to discuss the paper Humans store about 1.5 megabytes of information during language acquisition
Data SkepticInterpretable AI in Healthcare
Jayaraman Thiagarajan joins us to discuss the recent paper Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models.
Data SkepticUnderstanding Neural Networks
What does it mean to understand a neural network? That's the question posted on this arXiv paper. Kyle speaks with Tim Lillicrap about this and several other…
Data SkepticSelf-Explaining AI
Dan Elton joins us to discuss self-explaining AI. What could be better than an interpretable model? How about a model wich explains itself in a conversational…