jiawen uffline
jiawen exists as a user most of the time in her life, having little agency as a standard user, both technology and politic wise, she seeks for otherwise possibilities queering the given identity of a user, her wish is to be an analogkäse in the digital figurations and drip sizzling fat on the cables and ports.
Apart from that, jiawen is a researcher-designer based in Bremen, Germany, her research focus on technology as memory and desire, with contaminated history but appearing pure, sterilized, decontextualized and dehistoricized which reduces rather than relating. She looks into technology’s micro-(counter)history, materiality, poetics and politics. She sees l̸͓̪̜͕̮̆̎̓e̷͍̲͕̫̦͌a̵̡̝͈̗̐k̴̢͖̮̞̣̄͛̓͛̐ as an instance of space-time continuum and a definite part of the digital reality, and leaking as a method to survive together.
Vorträge
In the video essay, leak in the promiscuous machines and prurient governing entities is brought to the forefront as systemic vulnerabilities. We, as users and as citizens, are encouraged by the tech giants and governments to leak. A message to your loved one over the TCP/IP protocol is slutty. Audio and video signal cables are constantly radiating RF emanations. Our faces are reduced to facial features for machine learning, personal medical records end as image embedding in a training dataset.
Dirty data refers to data that is somewhat faulty and requires to be removed in data preprocessing. In 1980s, non-white women’s body size data was categorized as dirty data, now, in the age of GPT, when “scale-up” first is the golden rule, when researchers/engineers scraping the internet to get as much free data as possible, what is considered as dirty data and how are they removed from massive training materials?