Analyze

one more minute

publication of data in open science

I am particularly interested in comparative approaches on how different sites (and academics in those places or studying them) are thinking about COVID in their localities. How are people dealing with issues of trust and information in an era when entire archives are in danger (like the police archives in Guatemala which had been rescued in the past decade and are now in danger). This question expands beyond COVID but has become crucial in the context of Ecuador where reliable data is hard to come by. Another important aspect for us is how indigenous communities are fairing amid the pandemic (here a fabulous article on the terrible situation in Brazil—which is not so different to Ecuador's). This touches on issues of communication, infrastructure, language, systemic racism, and more. Finally, I am also interested in ways in which we might be a able to contribute to some of these issues from our academic spaces. Collaborators (which can take many forms) are certainly welcomed.

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

https://theconversation.com/air-pollution-covid-19-and-death-the-perils-of-bypassing-peer-review-136376

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'm a co-founder of Kaleidos - Center for Interdisciplinary Ethnography, a space for academic experimentations supported by two top ranked universities in Ecuador (University of Cuenca and FLACSO-Ecuador). We are located in Cuenca, where I am assistant professor of medical anthropology. Together with a team of researchers we have been tracking covid19 with a specific focus on Latin America through Spanish language podcasts, collective texts, webinars, and online forums.

My current ethnographic interest is on documenting data distrust networks from the neighborhood scale to the national level in Ecuador, and how these networks have produced distinctive approaches (and failures) to the current pandemic.

ENVOI

p.232: "In these pages, I have repeatedly emphasized the complicity between subject and object of investigation. My role in this essay, as subject of investigation, has been entirely parasitical, since my only object has been the Subaltern Studies themselves. Yet I am part of their object as well. Situated within the current academic theater of cultural imperialism, with a certain carte d'entree into the elite theoretical ateliers in France, I bring news of power lines within the palace. Nothing can function without us, yet the part is at least historically ironic. What of the poststructuralist suggestion that all work is parasitical, slightly to the side of that which one wishes adequately to cover, that critic (historian) and text (subaltern) are always "beside themselves"? The chain of complicity does not halt at the closure of an essay."