The extractive infrastructures of contact tracing apps

The COVID-19 pandemic will go down in history as a major crisis, with calls for debt moratoriums that are expected to have gruesome effects in the Global South. Another tale of this crisis that would come to dominate COVID-19 news across the world was a new technological application: the contact tracing apps. In this article, we argue that both accounts ‐ economic implications for the Global South and the ideology of techno-solutionism ‐ are closely related. We map the phenomenon of the tracing app onto past and present wealth accumulations. To understand these exploitative realities, we focus on the implications of contact tracing apps and their relation with extractive technologies as we build on the notion racial capitalism. By presenting themselves in isolation of capitalism and extractivism, contact tracing apps hide raw realities, concealing the supply chains that allow the production of these technologies and the exploitative conditions of labour that make their computational magic manifest itself. As a result of this artificial separation, the technological solutionism of contract tracing apps is ultimately presented as a moral choice between life and death. We regard our work as requiring continuous undoing ‐ a necessary but unfinished formal dismantling of colonial structures through decolonial resistance

We Have Always Been Geohackers

In this chapter we mobilize the methodological figures of disobedient bug reporting and disobedient action research to ask––what affirmative forms of responsibility-taking might be possible through taking up these figures within the processes and practices of volumetric geocomputation

Figurations of Timely Extraction

No embargo required

Comparative interactomics analysis of different ALS-associated proteins identifies converging molecular pathways

Amyotrophic lateral sclerosis (ALS) is a devastating neurological disease with no effective treatment available. An increasing number of genetic causes of ALS are being identified, but how these genetic defects lead to motor neuron degeneration and to which extent they affect common cellular pathways remains incompletely understood. To address these questions, we performed an interactomic analysis to identify binding partners of wild-type (WT) and ALS-associated mutant versions of ATXN2, C9orf72, FUS, OPTN, TDP-43 and UBQLN2 in neuronal cells. This analysis identified several known but also many novel binding partners of these proteins. Interactomes of WT and mutant ALS proteins were very similar except for OPTN and UBQLN2, in which mutations caused loss or gain of protein interactions. Several of the identified interactomes showed a high degree of overlap: shared binding partners of ATXN2, FUS and TDP-43 had roles in RNA metabolism; OPTN- and UBQLN2-interacting proteins were related to protein degradation and protein transport, and C9orf72 interactors function in mitochondria. To conf

Using Relational Verification for Program Slicing

Program slicing is the process of removing statements from a program such that defined aspects of its behavior are retained. For producing precise slices, i.e., slices that are minimal in size, the program\u27s semantics must be considered. Existing approaches that go beyond a syntactical analysis and do take the semantics into account are not fully automatic and require auxiliary specifications from the user. In this paper, we adapt relational verification to check whether a slice candidate obtained by removing some instructions from a program is indeed a valid slice. Based on this, we propose a framework for precise and automatic program slicing. As part of this framework, we present three strategies for the generation of slice candidates, and we show how dynamic slicing approaches - that interweave generating and checking slice candidates - can be used for this purpose. The framework can easily be extended with other strategies for generating slice candidates. We discuss the strengths and weaknesses of slicing approaches that use our framework

Machines without humans - post-robotics

Debates around robots, both scientific and non-scientific, mostly put the human being in their focus. This is important and necessary to produce machines that humans can operate and interact with, and to do responsible research. We think, however, that the phenomenon of robots, and generally machines, is only fully comprehensible if we, the observers, step back and try to understand machines from another, unusual perspective: the machines themselves

Effect of source type and protective message on the critical evaluation of news messages on Facebook: Randomized controlled trial in the Netherlands

Background: Disinformation has become an increasing societal concern, especially due to the speed that news is shared in the digital era. In particular, disinformation in the health care sector can lead to serious casualties, as the current COVID-19 crisis clearly shows. Objective: The main aim of this study was to experimentally examine the effects of information about the source and a protective warning message on users’ critical evaluation of news items, as well as the perception of accuracy of the news item. Methods: A 3 (unreliable vs reliable vs no identified source) × 2 (with protective message vs without) between-subject design was conducted among 307 participants (mean age 29 (SD 10.9] years). Results: The results showed a significant effect of source information on critical evaluation. In addition, including a protective message did not significantly affect critical evaluation. The results showed no interaction between type of source and protective message on critical evaluation. Conclusions: Based on these results, it is questionable whether including protective messages to improve critical evaluation is a way to move forward and improve critical evaluation of health-related news items, although effective methodologies to tackle the spread of disinformation are highly needed. Trial Registration: ClinicalTrials.gov NCT05030883; https://clinicaltrials.gov/ct2/show/NCT0503088