From July 8 to 12, I was at the Digital Humanities Conference 2019 (DH2019) in Utrecht. This is the annual academic forum organized by the Alliance of Digital Humanities Organizations (ADHO), and being so close to home and with a huge applied topic overlap it felt as a must-go.
It doesn’t contain anything radically new, but this Medium post by Admond Lee contains a rather complete list of skills for modern data science.
This is a rather comprehensive post in Medium by Alex Yu on state of the art methods for automatic music generation using Deep Learning.
A few days ago I attended the DARIAH Annual Event 2019, the conference that brings together the DARIAH community. DARIAH is an European Commission ERIC for a Digital Research Infrastructure for the Arts and the Humanities, gathering a network of of people, expertise, information, knowledge, content, methods, tools and technologies from its member countries to enhance and support digitally-enabled research and teaching across the arts and humanities.
Last week I attended ISMIR for the first time, in its 19th conference which happened to come back to Paris where it started. This is the major venue for researchers in Music Information Retrieval (MIR), covering a broad set of communities and backgrounds including computer science, musicology, AI, psychology, ethnography, etc.
Last week I attended the Digital Humanities Congress 2018, organized once every two years by the Digital Humanities Institute of the University of Sheffield.
As one of the goals of the blog is to collect relevant links to articles at the intersection of science and the humanities, I thought I’d start the task with the enlightening 2014 Jefferson Lecturer article by Walter Isaacson, published at NEH (National Endowment for the Humanities).