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Science-study wise, it's interesting to see that based on sensing and modelling scientists find it challenging to carve out a "Corona effect". The weather is just very unique this year. However, a new assessment by the German Aerospace Center claims to have "proven" it. In the Italian Lombardai (the North), for example, the effect boils down to 45 percent. This is the main finding of this link (which has some nice gifs, but otherwise is written in German).

Is there any ethnographic science study of how global pollution data is made and processed? Jennifer Gabrys get's pretty close with her work, plus Paul Edward's research on climate data. But there might be more to it. Doing such a study now might produce interesting insights.

I also came across a compelling clip by the Delhi based Centre for Science and Environment, where they explain current Delhi data. They show an explicit interesting in a state of zero/low-pollution, which otherwise can never be observed, as well as its consequences. https://www.cseindia.org/covid-19-lockdown-60-drop-in-air-pollution-in-…

Just to begin the discussion for this particular question: here's the Harvard study that is being cited in various newspapers on the apparantly direct link between air pollution and Covid-19 vulnerability. van Donkelaar, A., R. V. Martin, C. Li, R. T. Burnett, Regional Estimates of Chemical Composition of Fine Particulate Matter using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors, Environ. Sci. Technol., doi: 10.1021/acs.est.8b06392, 2019.
See e.g. how it is picked up by the NYT. I also find it interesting to link this data with more critical race-ish reports, such as this by Vice.

So, how to draw on this to develop what kinds of ethnographic studies?

Reading lists appear to play an important role in the distribution of knowledge. They might help follow discussions, but they also make things complicated, especially when one is facing non-curated long lists. For example, I am trying to follow the daily updates provided by the The Syllabus -- especially its Anthropocene and Economy parts. I intend to read the articles (and at times listen to the podcasts) that discuss the intersection of Corona and Climate. Or at least safe the important ones to Zotero. Yet, there is a lot to digest. Many repetitions.

Are these lists a data infrastructure 'for us'? What do they mean for 'others'? Might it be helpful to share the workload of reading the updates, and invest a bit of time in some sort of curation process?

I'm staying at home these days, that is, in Erfurt, set in Eastern Germany. My commute to the Ruhr University – roughly 400 km to the west – thus has been put to a hold. I have a background in waste studies, while also becoming increasingly interested in matters of energy production. I’d like to understand how pollution affects bodies, but also how the reactions to the pandemic are changing the way pollution is discussed and experienced. You can contact me via mail: stefan.laser@rub.de

I'm particularly interested in the following questions:

How is COVID-19 impacting and intersecting with air pollution?

What data infrastructure -- in different settings, at different scales -- supports efforts to understand and respond to COVID-19?

What COVID-19 data visualizations are in circulation and to what effect?

How does COVID-19 impact the civil rights of unsheltered populations and challenge ideas of what a healthy environment is?