I participated in the closing event of the FAIRsFAIR project last week. For that, I was asked to share thoughts on the status of FAIR in higher education. This is a summary of the notes that I wrote for the event. What is FAIR? First of all, The FAIR principles state that data should be: Findable: The first step in (re)using data is to find them. Metadata and data should be easy to find for both humans and computers.

Last week I was interviewed about music and artificial intelligence (AI). This led to several different stories on radio, TV, and as text. The reason for the sudden media interest in this topic was a story by The Guardian on the use of deep learning for creating music. They featured an example of the creation of Sinatra-inspired music made using a deep learning algorithm: After these stories were published, I was asked about participating in a talk-show on Friday evening.