Studies

We work directly with data scientists to understand how they work and develop new tools and visualizations. We would love to work with you on any of our ongoing studies! In addition, you can fill out this quick interest form to be notified if you're eligible for a future study.

Study: Comparing high-dimensional embeddings

March 3, 2021

We are building a tool for people who work with high-dimensional embedding spaces, a type of data common to many fields such as natural language processing, computer vision, and computational biology. In order to establish how embedding users understand and use their data, we are interviewing embedding model experts across these domains - for anyone who has worked extensively with embedding models in a recent project, we would love to hear about your experiences!

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A series of example embedding visualizations.

Study: Evaluating AI Systems

February 22, 2021

We’re interviewing data scientists who work with AI to understand the challenges they face when developing and evaluating their models. We’re especially interested in how data scientists analyze their models beyond aggregate metrics like accuracy.

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