The Yale Day of Data is a day-long event, held each autumn, that brings researchers together from a variety of different disciplines to discuss finding, analyzing, and managing data. The event draws from the experiences of researchers to explore common themes that link data-intensive research, like the challenges posed by the ever-increasing complexity of data, increasing expectations from funders, and heightened attention to data as a research product.
In the spring term, we supplement the Day of Data with our Spring Discussion Series. In past years, we have held additional other events, such as a reproducibility workshop from the Center for Open Science in Spring 2017.
This year (2018), we have three Day of Data Spring Discussion Series events:
- 2/16, 2-3p, SML International Room: "Data in the Newsroom," Jake Kara, CT Mirror Data Editor
- 3/2, 10:30a-12p, ISPS Policy Lab: "Why Reproducibility in (Social) Science Matters (and How to Get it Right)," Brian Earp, Yale University
- 3/8, 2-3p, SML Lecture Hall: "An Algorithm Can Fatten Up a Lexicon," Stephanie Fielding, Yale Presidential Visiting Fellow and Lecturer in Linguistics
To get more information about previous events or any upcoming Day of Data, choose one of the links below.