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PODCAST

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.

technology mathematics

All Episodes

37:55

Counting Briberies in Elections

Data Skeptic ·

2020/11/20

Niclas Boehmer, second year PhD student at Berlin Institute of Technology, comes on today to discuss the computational complexity of bribery in elections through the paper “On the Robustness of Winners: Counting Briberies in Elections.” Links Mentioned: https://www.akt.tu-berlin.de/menue/team/boehmer_niclas/ Works Mentioned: “On the Robustness of Winners: Counting Briberies in Elections.” by Niclas Boehmer, Robert Bredereck, Piotr Faliszewski. Rolf Niedermier Thanks to our sponsors: Springboard

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31:32

Sybil Attacks on Federated Learning

Data Skeptic ·

2020/11/13

Clement Fung, a Societal Computing PhD student at Carnegie Mellon University, discusses his research in security of machine learning systems and a defense against targeted sybil-based poisoning called FoolsGold. Works Mentioned: The Limitations of Federated Learning in Sybil Settings Twitter: @clemfung Website: https://clementfung.github.io/ Thanks to our sponsors: Brilliant - Online learning platform. Check out Geometry Fundamentals! Visit Brilliant.org/dataskeptic for 20% off Brilliant Premium!

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29:43

Differential Privacy at the US Census

Data Skeptic ·

2020/11/06

Simson Garfinkel, Senior Computer Scientist for Confidentiality and Data Access at the US Census Bureau, discusses his work modernizing the Census Bureau disclosure avoidance system from private to public disclosure avoidance techniques using differential privacy. Some of the discussion revolves around the topics in the paper Randomness Concerns When Deploying Differential Privacy. WORKS MENTIONED: “Calibrating Noise to Sensitivity in Private Data Analysis” by Cynthia Dwork, Frank McSherry,

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27:44

Distributed Consensus

Data Skeptic ·

2020/10/30

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?” She goes into detail about the leaders in Paxos and Raft and how The Raft Consensus Algorithm actually inspired her to pursue her PhD. Paxos vs Raft paper: https://arxiv.org/abs/2004.05074 Leslie Lamport paper “part-time Parliament”

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23:47

ACID Compliance

Data Skeptic ·

2020/10/23

Linhda joins Kyle today to talk through A.C.I.D. Compliance (atomicity, consistency, isolation, and durability). The presence of these four components can ensure that a database’s transaction is completed in a timely manner. Kyle uses examples such as google sheets, bank transactions, and even the game rummy cube. Thanks to this week's sponsors: Monday.com - Their Apps Challenge is underway and available at monday.com/dataskeptic Brilliant - Check out their Quantum Computing Course, I highly

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30:36

National Popular Vote Interstate Compact

Data Skeptic ·

2020/10/16

Patrick Rosenstiel joins us to discuss the The National Popular Vote.

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30:05

Defending the p-value

Data Skeptic ·

2020/10/12

Yudi Pawitan joins us to discuss his paper Defending the P-value.

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32:04

Retraction Watch

Data Skeptic ·

2020/10/05

Ivan Oransky joins us to discuss his work documenting the scientific peer-review process at retractionwatch.com.

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27:50

Crowdsourced Expertise

Data Skeptic ·

2020/09/21

Derek Lim joins us to discuss the paper Expertise and Dynamics within Crowdsourced Musical Knowledge Curation: A Case Study of the Genius Platform.

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35:35

The Spread of Misinformation Online

Data Skeptic ·

2020/09/14

Neil Johnson joins us to discuss the paper The online competition between pro- and anti-vaccination views.

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22:57

Consensus Voting

Data Skeptic ·

2020/09/07

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 great talks at the 13th Symposium on Algorithmic Game Theory (SAGT 2020)

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27:28

Voting Mechanisms

Data Skeptic ·

2020/08/31

Steven Heilman joins us to discuss his paper Designing Stable Elections. For a general interest article, see: https://theconversation.com/the-electoral-college-is-surprisingly-vulnerable-to-popular-vote-changes-141104 Steven Heilman receives funding from the National Science Foundation. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.

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33:06

False Consensus

Data Skeptic ·

2020/08/24

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 how individuals evaluate consensus under different experimental conditions reviewing online news articles. More from Sami at samiyousif.org Link to survey mentioned by Daniel Kerrigan: https://forms.gle/TCdGem3WTUYEP31B8

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38:24

Fraud Detection in Real Time

Data Skeptic ·

2020/08/18

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 used by companies to fight fraud with a focus on why these things need to be approached from a real-time perspective.

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23:12

Listener Survey Review

Data Skeptic ·

2020/08/11

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.

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32:38

Human Computer Interaction and Online Privacy

Data Skeptic ·

2020/07/27

Moses Namara from the HATLab joins us to discuss his research into the interaction between privacy and human-computer interaction.

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33:10

Authorship Attribution of Lennon McCartney Songs

Data Skeptic ·

2020/07/20

Mark Glickman joins us to discuss the paper Data in the Life: Authorship Attribution in Lennon-McCartney Songs.

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26:39

GANs Can Be Interpretable

Data Skeptic ·

2020/07/11

Erik Härkönen joins us to discuss the paper GANSpace: Discovering Interpretable GAN Controls. During the interview, Kyle makes reference to this amazing interpretable GAN controls video and it’s accompanying codebase found here. Erik mentions the GANspace collab notebook which is a rapid way to try these ideas out for yourself.

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28:39

Sentiment Preserving Fake Reviews

Data Skeptic ·

2020/07/06

David Ifeoluwa Adelani joins us to discuss Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection.

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32:07

Interpretability Practitioners

Data Skeptic ·

2020/06/26

Sungsoo Ray Hong joins us to discuss the paper Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs.

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599 results

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