Big Questions

Article by Anna Weisling June 29, 2017 Photo: Still image from LADY EFFULGENT “THE UPRISING” by Tabita Svane. One of the questions we are tasked with asking ourselves at Women in Music Tech (WiMT) is, “Will ______ bring more women into the field of music technology?” This is a simple question, but one which is worth thinking […]

An Interview with Stefania Serafin

Interview by Anna Xambó, Anna Weisling, and Takumi Ogata May 15, 2017 Photo (above): Stefania in her home town Venice. A few words about Stefania: Stefania Serafin is Professor in sound for multimodal environments at Aalborg University in Copenhagen, where she pioneered the media technology program Medialogy. Her research areas include sound modeling, multimodal interfaces, and […]

Research Suggests Students Are Biased Against Female Lecturers – The Economist

In a study conducted by the Journal of the European Economic Association, the researchers evaluated male and female teachers using the same content and teaching the same course. After four years of data collecting from 2009 to 2013, the study showed that students, male and female, ranked women teachers on average thirty-five points below their […]

Girls, Guitars and Sexism in the Music Industry – sky NEWS

This article discusses how the world of the electric guitar is also changing toward having more gender balance and less gender stereotypes. Examples include the music brand Fender who realized that 50% sales from last year were to women, Chantel McGregor who is one of top-guitar players in Britain, and the specialist music fanzine Ladyfuzz […]

Princeton Researchers Discover Why AI Become Racist and Sexist – Ars Tecnnica UK

This article explains the artificial intelligence (AI) algorithm Word-Embedding Association Test (WEAT), which looks into bias in English language. The algorithm is based on the Implicit Association Test (IAT), used to measure implicit bias. The results of the algorithm are promising as an indicator of biases in human language. Read more here