[Commlist] What data can't hear: A one day blue sky workshop - 2 December - UNSW Kensington

*What data can't hear: A one day blue sky workshop*
Convenors: Tanja Dreher, Danielle Hynes, Poppy de Souza
2 December 2024, UNSW Kensington campus
Hosted by UNSW Data Justice Research Network and UNSW Media Futures Hub

/To register:/ What data can't hear - Call for Expressions of Interest 
to attend 
<https://docs.google.com/forms/d/e/1FAIpQLScZkKxVJd1Zi8zvJQ_iMkY7qeDT8Pec3vbPN1XoBaGXSAAdKQ/viewform>

/Presenters:/ Alistair Sisson, Linda Przhedetsky, Chris Martin, Sophia 
Maalsen, Claire Daniel, Danielle Hynes, Poppy de Souza, Linda Steele, 
Andrew Whelan, Georgia van Toorn, Diane Stapleton

/About/: Data-driven systems, platforms and algorithms are increasingly 
embedded in all aspects of social life and daily communication. This 
‘ubiquitous datafication’ is evident across domains including social 
housing and the NDIS, ‘care’ institutions, and health, education and 
politics. In this workshop we explore the implications of the 
datafication of the social world for processes and practices of 
political voice and listening.

Datafied systems are claimed to offer increased opportunities to have a 
say, to be heard in decision making and service provision, and to be 
part of governance structures. In the context of neoliberalism, these 
platformed opportunities and incitements to speak proliferate, however 
this is a version of voice that matters less and less. By centring 
political voice, we draw attention to voice as agency, participation and 
influence – or voice that matters. The listening lens turns attention to 
processes and practices of receptivity, recognition and response to 
political voice, participation and agency.

In this workshop, we consider questions around the increasing ubiquity 
of datafied voice and listening, including but not limited to the following:

•     How does datafication enable or constrain voice as agency or 
self-determination?
•     In addition to questions of who can speak, participate or have a 
say - who or what is heard in data-driven systems?
•     Can data hear structural or systemic violence, injustice or critique?
•     How are data driven systems able to hear - or not hear - political 
voice?

For example, what might be the benefits and harms of automated 
decision-making in disability services for the ‘voice’ and agency of 
people with disability? How do apps and platforms shape opportunities 
for resident voice in social housing and renting? How do the extractive 
logics of contemporary algorithms impact self-determination and sovereignty?


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