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

Data Skeptic

National Popular Vote Interstate Compact

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

Defending the p-value

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

Retraction Watch

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

Crowdsourced Expertise

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

The Spread of Misinformation Online

 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) 

Consensus Voting

Steven Heilman joins us to discuss his paper Designing Stable Elections.

Voting Mechanisms

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 concensus under different experimental conditions reviewing online news articles. More from Sami at samiyousif.org

False Concensus

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.

Fraud Detection in Real Time

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.

Listener Survey Review

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

Human Computer Interaction and Online Privacy

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

Authorship Attribution of Lennon McCartney Songs

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.

GANs Can Be Interpretable

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

Sentiment Preserving Fake Reviews

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

Interpretability Practitioners

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.

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