Algorithmic Societies
Research

Research

Research updates from the team:

Algorithmic Economies:

Ludovico Rella will be convening panels at the 2022 Global Conference on Economic Geography in Dublin, June 7-10 https://www.gceg.org/SS08_05-Algorithmic-Economies.php

Focusing on ‘algorithmic economies’, the panels will address the intersections between “pre-algorithmic” (or pre-machine learning) and algorithmic modes of organising and conducting economic activities. The focus is on the forms of life and the practices of world making that, while being prompted and influenced by algorithms, are the result of the mobilisation of multiple hybrid agents.

Inference Worlds:

The ALGOSOC team are convening a series of sessions on ‘Inference Worlds: Politics of Machine Learning Futures’ at the 2022 European Association of the the Study of Science and Technology (EASST) in Madrid, July 6-9 https://easst2022.org/home.asp

The inference worlds sessions are focused on how the advent of deep neural network algorithms has transformed the imagination and governance of political futures. As algorithmic models gain capacity to generate and infer rules from the examples in data, machine learning appears to hold the promise of making inductive and inferential forms of knowing, classifying and deciding. From the ALGOSOC team, Alex Campolo will present his work on the role of the loss function as specific form of error in algorithmic societies; Ben Jacobsen will present on the emergence of synthetic data and the significance for models of variability in machine learning; Ludovico Rella will discuss his work on the material infrastructures of GPUs and their place in algorithmic societies. Louise Amoore will introduce some of the project’s work on the ethics of machine learning in models for organ transplantation.

In Conversation:

Louise Amoore was in conversation with Prof Fleur Johns (University of NSW Sydney) in the Centre for Ideas. Their conversation examines the forms of ethical thinking that might have significance for our machine learning age, watch here:

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