I am mainly part of the research collective called “COVID-19 Places: Turkey.” I focus on the COVID-19 disaster governance and scientific cultures. So far, we have worked through google docs. By September, we plan to hold regular meetings, and add more to the PECE essay. This group welcomes new members.
I also have many questions at local, national, and transnational levels. Nevertheless, in the short-term (Fall 2020), I want to focus on the following research topics/areas:
The transnational governance of COVID-19
The ways science-society relations (and/or scientific cultures) shape and are shaped by the governance of COVID-19 in specific places (from community to institution to city to nation-state scale).
Tactics that can be developed through transnational collaboration so as to respond to the various problems deepening and/or emerging in the midst of this disaster, e.g., the problems we (may) encounter as educators, and so on.
I imagine all these as collaborative studies.
We're still doing this Galileo schtick? Absolutely the worst model for the science-authority relationship, but scientists (well, at least physical scientists) still love it. More to come...
First: Another list on another google doc and just looking at it https://docs.google.com/document/u/0/d/1UTQvW_OytC37IatMNR5qJK7qKfSylNpI2fT3pdteVZA/mobilebasic gets me started: we're all barely keeping up and just trying to direct the firehose into some readily available container like a google doc because we can't drink any more and it's the easiest thing to hand. I'm happy with the dangerous "we": all we humanists and all them scientists are trying to do kaelidoscopics at speed, saving the excess for future analysis while trying to do the analysis right now and get something in print right now which is aleready too late. "They" have better containers (infrastructure) and that matters, but I think it's important to note the shared space of urgency and excess and ask about the effects these have on analysis, ours and theirs and: ours.
It has to be hurried, the only take worth anything these days is the hot take, for scientists, science journalists, science analysts. An exaggeration, but I'm rushed. We know that air pollution (two words harboring such complexity and excess on its own: PM2.5, ozone, NOX, etc.etc.) impacts health in numerous ways, in and beyond our repiratory system; we know that those physiological logics are compounded by cultural logics, in their complexity and excess: race poverty geolocation healthcare access nutritional needs etc. etc. A kaleidoscopic intersectional analysis that, to get good reliable outcomes, takes time.
A need for generosity.
So as I make my way down the list in the google doc and read that some group or some lab shows the COVID-19 intersects with air pollution and makes for worse outcomes for African Americans I'm predisposed toward belief, for many good reasons, compounded by the rush. And the data and the correlations between, say, increased mortality in areas of northern Italy where there are higher levels of airpollution is certainly believable, compelling -- for NO2
https://www.sciencedirect.com/science/article/pii/S0048969720321215?via%3Dihub
and air pollution generally
https://www.sciencedirect.com/science/article/pii/S0269749120320601
That kind of crunching of large data sets seems believable -- and has been stamped as peer reviewed. So what do we do with this article in The Conversation
critical of a Harvard School of Public Health study available as a preprint on medrxiv --
https://www.medrxiv.org/content/10.1101/2020.04.05.20054502v2
-- that concludes that "an increase of only 1 μg/m3 in PM2.5 is associated with an 8% increase in the COVID-19 death rate (95% confidence interval [CI]: 2%, 15%)"? The Canadian researchers in The Conversation are not convinced:
"It is almost impossible to try to adjust for the influence of all these factors, as this study tried to do, because the interactions between these variable are so complex. Accounting for these factors could only be done in studies using information from individual-level information."
"Proper peer review must not be bypassed — and the onus for respecting its role falls not just on journalists but also on scientists to communicate the correct information accurately."
I'm suspicious -- and if I had more time I would be more suspicious of my suspicions -- for two reasons: one, a lot of those studies on the google docs list are preprints. But more importantly, the call for "individual-level information." What does this mean? I don;t think anyone is working with "individual level information" in all of these studies, so why does this one become a target?
1. Because it's Harvard PH, of Six Cities study fame, first linking air pollution to increased mortality and the key reference point for US air pollution regulation. There's a long history of the oil industry and their scientists just trying to pick holes and cast doubt on these studies out of Harvard.
2. The criticism smacks of the most recent devious strategy of the air regulation opponents, which is to call for individiual level data in epidemiological to be released in the name of "transparency." Which can't be done.
So who are these Canadian guys and are they up to something more than "just raising questions and being good scientific skeptics"?
UPDATE 1 HOUR LATER:
So I looked them up: Mark Goldberg was a member of the Reanalysis Team of the Health Effects Institute that validated the Six Cities Study:
https://theasthmafiles.org/content/hei-validation-six-cities-study
Unlikely, then, that he is some undustry beard...
I live in İzmir, Turkey, and am assistant professor in the Division of Urbanization and Environmental Problems at the Department of Political Science and Public Administration at İzmir Katip Çelebi University. I am also part of an STS Research Network in Turkey – IstanbuLab. I can be reached at duygukasdogan@gmail.com
I have been involved in the Transnational STS Working Group. I am interested in fostering transnational organizational capacities in response to disasters.
I am especially interested in the following questions: