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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.

Browse the contents of Yale Day of Data:

Day of Data 2017
The 2017 Yale Day of Data focused on Data + Society.
Day of Data 2016
The 2016 Yale Day of Data will focus on open data, open software, and reproducibility/replication.
Day of Data Sustainability Data Hack 2015
Day of Data 2015
Day of Data 2014
Day of Data 2013