The global COVID-19 pandemic has exacerbated infrastructural, societal, and resource inequalities along racial and socioeconomic lines. Many countries have struggled to provide adequate COVID testing and healthcare. Denmark has been exceptional in its investment in a hyper-efficient and ever-present infrastructure, with testing tents distributed across the country. In this article we ask: What is the impact of this infrastructure in terms of the (urban) culture that is built around testing? And what does that mean in terms of data management and mass surveillance? As a public good, the COVID-19 testing infrastructure has costs and benefits, but these are not always clear. They concern future urban life and data management, and our ability to draw a boundary around ourselves—that is, biopolitics. At the time of writing, with the Omicron variant on the rise, we are hovering on the threshold between new restrictions and a post-COVID urban reality. Now is the time to take stock of the COVID infrastructure's spatial, temporal, and political dimensions, and of what they mean for urban decision-making, governance, justice, and democracy. To do so, and following philosopher and legal scholar Martha Nussbaum, we suggest the deployment of a narrative approach for the education of democratic citizenship and, indeed, for justice.
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How to make a good animation: A grounded cognition model of how visual representation design affects the construction of abstract physics knowledge
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Abstract There is a long-standing discrepancy between the observed Galactic classical nova rate of ∼10 yr −1 and the predicted rate from Galactic models of ∼30–50 yr −1 . One explanation for this discrepancy is that many novae are hidden by interstellar extinction, but the degree to which dust can obscure novae is poorly constrained. We use newly available all-sky three-dimensional dust maps to compare the brightness and spatial distribution of known novae to that predicted from relatively simple models in which novae trace Galactic stellar mass. We find that only half (53%) of the novae are expected to be easily detectable ( g ≲ 15) with current all-sky optical surveys such as the All-Sky Automated Survey for Supernovae (ASAS-SN). This fraction is much lower than previously estimated, showing that dust does substantially affect nova detection in the optical. By comparing complementary survey results from the ASAS-SN, OGLE-IV, and Palomar Gattini IR surveys using our modeling, we find a tentative Galactic nova rate of ∼30 yr −1 , though this could be as high as ∼40 yr −1 , depending on the assumed distribution of novae within the Galaxy. These preliminary estimates will be improved in future work through more sophisticated modeling of nova detection in ASAS-SN and other surveys.more » « less
