Case.law seems like a very interesting data source for a machine learning or text mining project: The Caselaw Access Project (“CAP”) expands public access to U.S. law. Our goal is to make all published U.S. court decisions freely available to the public online, in a consistent format, digitized from the collection of the Harvard Law … Continue reading Caselaw Access Project: Structured data of over 6 million U.S. court decisions
PyData is famous for it's great talks on machine learning topics. This 2019 London edition, Vincent Warmerdam again managed to give a super inspiring presentation. This year he covers what he dubs Artificial Stupidity™. You should definitely watch the talk, which includes some great visual aids, but here are my main takeaways: Vincent speaks of … Continue reading Artificial Stupidity – by Vincent Warmerdam @PyData 2019 London
In Dutch only: Voor Privacyweb schreef ik onlangs over people analytics en het mogelijk resulterende nudgen van medewerkers: kleine aanpassingen of duwtjes die mensen in de goede richting zouden moeten sturen. Medewerkers verleiden tot goed gedrag, als het ware. Maar wie bepaalt dan wat goed is, en wanneer zouden werkgevers wel of niet mogen of … Continue reading People Analytics: Is nudging goed werkgeverschap of onethisch?
Generating numbers is easy; generating numbers you should trust is hard! Emily Robinson is a data scientist at Etsy, an e-commerce website for handmade and vintage products. In the #rstats community, Emily is nearly as famous as her brother David Robinson, whom we know from the tidytext R-package. Like any large tech company, Etsy relies heavily … Continue reading A/B testing and Statistics at Etsy, by Emily Robinson
Yesterday, I read the most interesting article on how Uber uses academic research from the field of behavioral psychology to persuade their drivers to display desired behaviors. The tone of the article is quite negative and I most definitely agree there are several ethical issues at hand here. However, as a data scientist, I was … Continue reading Uber: Translating Behavioural Science to the Work Floor with Gamification and Experimentation