Data Skeptic

Your trusted podcast, centered on data science, machine learning, and artificial intelligence.

Tune in weekly for the latest interviews with leading experts.

Latest Podcast

Orders of Magnitude (33:13)

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, we introduce our new segment “Orders of Magnitude”. It’s a statistical game show in which participants must identify the true statistic hidden in a list of statistics which are off by at least an order of magnitude. Claudia and Vanessa join as our first contestants.  Below are the sources of our questions.


Bird Statistics

Amounts of Data

Our statistics come from this post


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 particular part of their role, scaling their effectiveness. Unless progress in AI inexplicably halts, the tasks done by humans vs. machines will continue to evolve. Today's episode is a speculative conversation about what the future may hold.

Today on the show Derek Driggs, a PhD Student at the University of Cambridge. He comes on to discuss the work

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 comprehension or is it something a much younger student could read and understand?

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 Outlier Detection.

Life May Be Rare - 2021-04-05

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 of Evolutionary Transitions Suggest Intelligent Life is Rare.”

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 part) paved the way to the 2021 storming of the US Capital.

Karthick Shankar, Masters Student at Carnegie Mellon University, and Somali Chaterji, Assistant Professor at Purdue University, join us today to discuss the paper JANUS: Benchmarking Commercial and Open-Source Cloud and Edge Platforms for Object and Anomaly Detection Workloads.

Hal Ashton, a PhD student from the University College of London, joins us today to discuss a recent work

Yuqi Ouyang, in his second year of PhD study at the University of Warwick in England, joins us today to discuss his work

Nirupam Gupta, a Computer Science Post Doctoral Researcher at EDFL University in Switzerland, joins us today to discuss his work Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent.

Mikko Lauri, Post Doctoral researcher at the University of Hamburg, Germany, comes on the show today to discuss the work Information Gathering in Decentralized POMDPs by Policy Graph Improvements.

Maartje der Hoeve, PhD Student at the University of Amsterdam, joins us today to discuss her research in automated summarization through the paper What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization.

Today on the show we have Adrian Martin, a postdoctorial researcher from the Univeristy of Pompeu Fabra in Barcelona, Spain. He comes on the show today to discuss his research from the paper Convolutional Neural Networks can be Decieved by Visual Illusions

Omkar Ranadive and Suzan van der Lee join us to discuss the recent paper Applying Machine Learning to Crowd-sourced Data from Earthquake Detective.

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 becoming unreliable. There are many different protocols for achieving BFT, though not all options can scale to large network sizes.

Alpha Fold - 2020-12-11

Kyle shared some initial reactions to the announcement about Alpha Fold 2's celebrated performance in the CASP14 prediction.  By many accounts, this exciting result means protein folding is now a solved problem.

Counting Briberies in Elections

Computer Science research fellow of Cambridge University, Heidi Howard discusses Paxos, Raft, and distributed consensus in distributed systems alongside with her work Paxos vs. Raft: Have we reached consensus on distributed consensus?