Filed under handbook | Tags: · aesthetics, algorithm, code, computation, data, programming, software, software studies
“Aesthetic Programming explores the technical as well as cultural imaginaries of programming from its insides. It follows the principle that the growing importance of software requires a new kind of cultural thinking — and curriculum — that can account for, and with which to better understand the politics and aesthetics of algorithmic procedures, data processing and abstraction. It takes a particular interest in power relations that are relatively under-acknowledged in technical subjects, concerning class and capitalism, gender and sexuality, as well as race and the legacies of colonialism. This is not only related to the politics of representation but also nonrepresentation: how power differentials are implicit in code in terms of binary logic, hierarchies, naming of the attributes, and how particular worldviews are reinforced and perpetuated through computation.
Using p5.js, it introduces and demonstrates the reflexive practice of aesthetic programming, engaging with learning to program as a way to understand and question existing technological objects and paradigms, and to explore the potential for reprogramming wider eco-socio-technical systems. The book itself follows this approach, and is offered as a computational object open to modification and reversioning.”
Publisher Open Humanities Press, 2020
Creative Commons BY-SA License
Eintritt in ein Lebewesen. Von der sozialen Skulptur zum Plattform-Kapitalismus / Journey Into a Living Being: From Social Sculpture to Platform Capitalism (2020) [German/English]
Filed under catalogue | Tags: · art, capitalism, data, internet, platform, privacy, social media, surveillance
“In 1977, Joseph Beuys presented his installation Honey Machine at the Workplace at documenta 6, in which tubes ran into the exhibition rooms, through which honey was pumped. The work symbolized Beuys’ idea of the expanded concept of art and of social sculpture. “Everyone is an artist” is his famous motto –not because everyone can paint, dance or make music, but because we all contribute through our productivity to a collective creativity that can be weighed as real capital and societal potential, to which Beuys ascribed the formula “art = capital.” Honey as the “spiritual nutrition of the cosmos” (Beuys) is the embodiment of this collective creativity.
These days, we deliver our creative “honey” voluntarily to internet companies like Google, Facebook, Twitter, TikTok or Amazon. Computers and smartphones, online speakers and fitness wristbands upload a large portion of our data to these companies’ servers. Even rental bikes and e-scooters collect our location data. Our every click, every Like, every photo posted and every online comment is fuel for the companies of “surveillance capitalism” (Shoshana Zuboff). They use our data to sell advertising, predict our behavior, optimize their algorithms and AI, and to keep competing companies out of the market as much as possible.
The exhibition Journey Into a Living Being takes its name from a lecture Beuys gave on social sculpture at documenta. It traces the conceptual trajectory to the present, in which the internet and social media are replete with offers of creative services, but where only few reap the financial rewards. It brings together artworks spanning forty years with the aim of deciphering what has come to pass between the development of social sculpture and the rise of platform capitalism and the gig economy, and how this process is reflected in art.”
Edited by Tilman Baumgärtel
Publisher Kunstraum Kreuzberg/Bethanien, Berlin, 2020
ISBN 9783000652608, 3000652604
PDF (6 MB)Comment (0)
Filed under book | Tags: · big data, data, data visualisation, emotion, feminism, gender, identity, labour, racism, research, science, statistics
“Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D’Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought.
Illustrating data feminism in action, D’Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.”
Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn’t, and about how those differentials of power can be challenged and changed.”
Publisher MIT Press, 2020
strong Ideas series
Creative Commons CC BY-NC-ND license
ISBN 9780262044004, 0262044005