Three principles for data science: predictability, stability, and computability
September 12, 2017Bin Yu
From 'Static' to 'Research Ready' - Preparing Archives for Computational Text Analysis
July 25, 2017Nick Adams
From Static Archive to Research-Ready Database: Preparing the Congressional Record for Computational Social Science
July 25, 2017Nick Adams
Linguistic-Mediation of Visual Saliency: Using ROC to Compare Multi-Dimensional Datasets
April 21, 2017
Predicting Animal Responses to Ocean Deoxygenation Using Novel Combinations of Data and Models
April 14, 2017
Salvaging a Genetics Project: Identifying and Correcting Sample Mix-Ups in High-Dimensional Data
April 7, 2017
Gender, Prestige, and Productivity in Academic Hiring Networks and Career Trajectories
March 17, 2017
Engineering at the Intersection of Productive Efficiency, Ideology, and Ethical AI in Wikipedia
February 24, 2017
Radioactive Source Localization in Urban Environments with Sensor Networks and the Internet of Things
September 9, 2016
A Whirlwind Tour of UC Berkeley’s Data Science Education Program
July 15, 2016Cathryn Carson,
Chris Holdgraf
