Data Dance Movement by Syennie Valeria
Data Dance Movement is a response to Asian hate incidents and bystander intervention mainly related to Covid-19. In this design research project, I collected qualitative information through collage-making workshops as well quantitative data from the Twitter hashtag #ichbinkeinvirus.
This work aims to empower the Asian diaspora, evolve stereotypes and act as a call for allyship. It also invites people to reflect on and respond to questions, such as: How might I actively stand against Asian hate and racism? What does allyship mean, and how might I demonstrate or surface my own allyship?
I've used sonification and social choreography as key mediums with which to represent and respond to the data generated by my research. I established a visual language and a set of shapes or movements made with the upper body. I then translated this, with the help of some of my collaborators, into a piece of social choreography. I have then used this to launch a campaign on my Instagram (@syennie_like_shiny) where people have been replicating and re-combining the defined gestures to create their own narratives and visualise their allyship.
There are many ways to create solidarity and become an ally. I see all of the different collaborations that made this project possible as acts of allyship and solidarity. I hope the documentation of my methods and approaches in my project will serve as a foundation for others who are interested in fostering solidarity, to build on in the future.
*Please check the website to listen to the sonification and watch the choreography.
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CreditsChoreographer: Ting Ning Wen Spatial designer: Ardini Azzah Sound art: Kevin Silalahi Photographer: Taha Izzi Video editor: Juan Mayo Wardrobe: Pascale Eliza Make-up: Lilla Cseh
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