Elaine Chew and Gerard Assayag are part of director Anna Schmidt (Neuhaus)’ ARTE documentary on The Future of Music & what AI means for music
Research
Undercover Agents from NMES comms check out the HeartFM study
The NMES comms undercover agents Lizzie Ellen and Emily Pulham report on their HeartFM experience on instagram and twitter
Citizen Science and Frontier Research at the ERC Executive Agency
ERC grantees share research involving citizen science at annual event: topics included music, fruitflies, women’s health, and air pollution
CosmoNote at ERC Annual Event : Citizen Science and Frontier Research
Elaine Chew is panelist and CosmoNote part of exhibition at ERC Annual Event: Citizen Science and Frontier Research
Emily Graber: Viva Contemporary! Mobile Music Lab an Interactive Artwork at ACM Multimedia
Mobile Music Lab offers users real-time tempo control of contemporary music, while wearable heart and brain sensors capture physiological effects.
Elaine Chew presents Keynote at Journée Science et Musique – Music Expressivity and Impact on Physiology
Elaine Chew gives a keynote (in English) at this year’s Journée Science et Musique. Videos of presentations now on JSM YouTube channel
Daniel Bedoya presents at Intl Symposium on Performance Science: CosmoNote and Annotation Conventions
Daniel Bedoya shows CosmoNote and its use to create a vocabulary and representations for music prosody at the Intl Symp on Performance Science
Music Technology for Health – Emma Frid presenting at the 2021 WiMIR Workshop
Emma Frid recently participated as Project Guide for the Women in Music Information Retrieval Workshop (WiMIR) 2021
Behind the scenes: ARTE.TV 42, La réponse à presque tout : Entendons-nous tous pareil ?
Behind the scenes in the filming of ARTE’s 42, La réponse à presque tout (the answer to almost everything) episode on sound and hearing
Music: An Underutilised Tool in Neurocardiology? HRC2021 Lifelong Learning video
Elaine Chew and Pier Lambiase discuss music in heart brain studies in a Heart Rhythm Congress Lifelong Learning video