About

The Algorithmic Sabotage Research Group (ASRG) is an ongoing, conspiratorial, aesthetico-political, practice-led research framework focused on the intersection of digital culture and information technology. #

It examines the multifaceted manifestations of artistic activism and its role in exposing, critiquing, disrupting and countering the encroachments of algorithmic systems of power, control, and exploitation, with the objective of strengthening, promoting, and defending human rights values and fundamental freedoms by offering interdisciplinary pathways to empower the public.

Graphic: © Algorithmic Sabotage Research Group | The typeface used is Trickster from Velvetyne Foundry: https://velvetyne.fr/fonts/trickster/

Research Questions #

The framework within which the Algorithmic Sabotage Research Group (ASRG) operates is related to the analysis of the critical concept of “Algorithmic Sabotage” as a means of consciously working on artistic-activist and prefigurative techno-political strategies and aesthetics against the necropolitical technologies that reinforce structural injustices, algorithmic authoritarianism and the harmfulness of unrestrained technosolutionism.

The research is guided by the following questions:

  • How can “Algorithmic Sabotage”, art and activism be combined to challenge and resist the paradigm of an all-controlling and regulating technology?

  • How does technological disobedience through “Algorithmic Sabotage” contribute to new forms of action, digital tools and content?

  • Acknowledging that refusal has a technopolitics: what are the wider implications of “Algorithmic Sabotage” as an act of dissent and refusal for politics, society and the arts?

  • How can “Algorithmic Sabotage” through artistic activism, strengthen self-organised and technologically-based tactics of producing justice and promoting accountability?


Contact #

Email #

Should you have any requests, questions, suggestions or critiques, you are invited to contact the following email address: x7kekmg7@proton.me. We will endeavour to respond to your message as soon as is reasonably possible. Should no reply be received within a week, we kindly request that you resend your message. * It should be noted that emails containing tracking links or tracking pixels may be automatically deleted.

Should you wish to facilitate a prompt response to your request, you are encouraged to encrypt your emails via GPG. Our public key can be obtained here or from a public key server using the following command:

gpg --recv-keys DD4FF0D691C7C8F501C1CD0441CC385A75C16CD7

It would be greatly appreciated if you could attach your public GPG key to the email request, as this will greatly facilitate the process for us.

Those wishing to remain anonymous may wish to consider utilising the Tor Browser, ideally on a computer located outside of one’s place of residence or employment. This will also serve to enhance the level of security available.

Social Media #

Please be advised that our presence on Mastodon can be located at the following handle: @asrg@tldr.nettime.org.

* tldr.nettime is an instance for artists, researchers, and activists interested in exploring the intersections of technology, culture, and politics.

Messaging #

We utilise Signal for the purpose of private messaging. Should you wish to send us a message, you are invited to do so via the following email address: x7kekmg7@proton.me. Please include your Signal number or username in the message, and we shall proceed accordingly.

Support Us #

Support Us With Your Skills #

Should you wish to express your interest in contributing your particular skills and expertise to our research and forthcoming interventions, we would be grateful if you could send us an email at x7kekmg7@proton.me. In your message, please indicate the specific skills you possess and how you believe you can assist. We will contact you at the appropriate time to discuss your potential involvement in greater detail.

About this Site #

This website has been designed with the objective of ensuring the privacy of its users. It does not employ the use of third-party analytics tools to track visits, nor does it utilise any third-party dependencies that may compromise the privacy of its users or share their data. The website has been constructed using Markdown, generated in Hugo, and served as a static file using GitHub.