Individuals and communities increasingly depend on, and fill their lives with, machine
cultures, in the form of both interfaces and infrastructures. This global push for machine …

Policy discussions and corporate strategies on machine learning are increasingly
championing data reuse as a key element in digital transformations. These aspirations are …

This paper introduces a novel approach for medical image reclamation, specifically focusing
on enhancing chest image resolution. The proposed method introduces the Dual-Tree …

While data centres are predominantly studied via their spatial and territorial dimensions, we
investigate this critical part of the contemporary Internet infrastructures via its temporalities …

Computer science tends to foreclose the reading of its texts by social science and
humanities scholars–via code and scale, mathematics, black box opacities, secret or …

As refugee law practice enters the world of data, it is time to take stock as to what refugee
law research can gain from technological developments. This article provides an outline for …

This paper examines how the intense focus on data in political digitalization strategies takes
effect in practice in a Danish municipality. Building on an ethnographic study of data-driven …

A new social science framework for studying the unprecedented social and economic
restructuring driven by digital data. Digital data have become the critical frontier where …

Russia'swarinUkraineisalsoadigitalone: warbecomesdata, managedbyalgorithmicsystems
and content moderation tools of large tech platforms. This paper focuses on archiving and …

The objective of the proposal is to analyze what latent space is within a Deep-Learning
system and how its visualization is capable of triggering a meaning-effect concerning the …