Signal to Noise explores how artists work with, challenge, or complicate the relationship between signals and noise—disruptions, glitches or interference—in communication technologies and the messages they send. These technologies include the internet, telephones, radio and television, artificial intelligence, social media algorithms, and even the sounds of the natural world.
Registrations are open for the ADM+S Thesis Boot Camp. Designed for students in mid-to-late candidature with a significant amount of data collected, the program aims to re-energise students’ writing progress and overcome hurdles slowing them down. This program will include focused discussion on approaches to writing, thesis structure, clarifying arguments, and strategies for writing quickly and writing well. Thesis Boot Camp participants will work through common challenges faced at this point in the journey, such as writer’s block and thesis fatigue, to achieve significant progress on their manuscript. The bootcamp will be delivered by Dr Liam Connell.
Every time you order a meal, obtain directions, query an AI chatbot, or access your child’s virtual classroom, you’re interacting with a multi-sided digital platform—and you trade in more than just time or money. You relinquish data. You perform unpaid labor. And in nearly every case, that data, along with the profits, leaves your community and flows to distant companies with no stake in your local economy. But what if the digital economy worked differently—what if it respected privacy, strengthened local economies, and ensured communities benefited from the value they help create?
inSTEM is an annual conference for Centre of Excellence members, dedicated to advancing equitable practices for marginalised and underrepresented people in STEM, while also welcoming those committed to becoming better allies.
The 2025 ADM+S Symposium unites ADM+S researchers, technologists, social service professionals, and policymakers to showcase innovative responses to the challenges of building inclusive, ethical, and responsible automated social services.
Join us as we tune in to the signals and noises that shape our understanding of science, technology, and the worlds around us.