Data Skeptic

Data science, machine learning, and artificial intelligence.

Your trusted podcast centered on data science, machine learning, and artificial intelligence. Tune in weekly for the latest interviews with leading experts.

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.

Brian Brubach, Assistant Professor in the Computer Science Department at Wellesley College, joins us today to discuss his work “Meddling Metrics: the Effects of Measuring and Constraining Partisan Gerrymandering on Voter Incentives”.

WORKS MENTIONED: Meddling Metrics: the Effects of Measuring and Constraining Partisan Gerrymandering on Voter Incentives by Brian Brubach, Aravind Srinivasan, and Shawn Zhao

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Gerrymandering

22 January 2021

Kyle Polich

Even Cooperative Chess is Hard

15 January 2021

Kyle Polich

Consecutive Votes in Paxos

11 January 2021

Kyle Polich

Visual Illusions Deceiving Neural Networks

1 January 2021

Kyle Polich

Earthquake Detection with Crowd-sourced Data

25 December 2020

Kyle Polich

Byzantine Fault Tolerant Consensus

22 December 2020

Kyle Polich

Alpha Fold

11 December 2020

Kyle Polich

Arrow's Impossibility Theorem

4 December 2020

Kyle Polich

Face Mask Sentiment Analysis

27 November 2020

Kyle Polich

Counting Briberies in Elections

20 November 2020

Kyle Polich

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Podcast Details

Started

30 May 2014

Release Period

Weekly

Avg. Duration

30 min

Explicit

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Podcast Details

Started

30 May 2014

Release Period

Weekly

Avg. Duration

30 min

Explicit

Get Abakcus straight to your inbox

Recommend this Podcast

Similar Podcasts

My Favorite Theorem

Ologies

Flash Forward

Mathematical Objects

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