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 […]
The Problem With Women Working In Audio – Pro Tools Expert
This article talks about unconscious bias in music industry and highlights a number of women who have done great work in audio engineering. The article also promotes two initiatives that support women in the music industry: Women’s Audio Mission and #NormalNotNovelty. Read more here
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
We Need More Women Composers – And It’s Not About Tokenism, It’s About Talent – TheGuardian.com
This article describes the existing problem of lack of women composers and the actions that the UK-based organization Sound and Music is planning to take by 2020 in order to make sure that 50% of their collaborators are women and making more visible their work. Read more here
Women Can’t Be Conductors and Here Are All The Reasons Why – Classic FM
A witty blog post that states reasons that refute the argument that women can’t be conductors. Read more here
An Interview with Emilia Gomez
Interview by Amruta Vidwans Oct 11, 2016 A few words about Emilia Gomez: Emilia Gomez is an associate professor (Serra-Húnter and ICREA Academia fellow) and Deputy Director of the Department of Information and Communication Technologies (DTIC), Universitat Pompeu Fabra (UPF). She leads the Music Information Research (MIR) lab of the Music Technology Group (MTG). She […]
Uni to pioneer ‘name-blind’ application process for UCAS – University of Huddersfield
Four English universities will take part in the ‘name-blind’ application process for UCAS with the aim at ensuring ethnic fairness in the admissions process. The names of the applicants will be masked during the selection process to ensure unbiased decisions. Find out more at http://www.hud.ac.uk/news/2016/september/unitopioneername-blindapplicationprocessforucas.php