Analyze

So the main 'slowdown' of the economy as well as the 'lockdown' of people appears to come to an end. It's been three exceptional months, as for instance emphasized by altered mobility patterns. (See https://www.covid-19-mobility.org/current-mobility/) However, what do we make out of this?

I would like to propose the following argument: The global health crisis of SARS-CoV-2 triggered a new public engagement with the polluted world produced and inhabited by humans. Media reports and preliminary scientific studies showed how pollution parameters decreased significantly and people visited public parks to a previously unknown extent. A debate on healthy clean air popped up, which was further strengthened by measures to contain the pandemic. Publicly discussed scientific studies suggest a correlation between COVID vulnerability and air pollution; and through hygiene measures, the mask has become popular as an object of protection, which in many societies was previously known primarily as protection against air pollution in public spaces. A few authors even claimed that air pollution should be indentified as a pandemic as well, a non-communicable pandemic with a significant toll.

We know perfectly well that air pollution is a slow disaster that is hard to account for. Threshold limits are not enough. The unequal consequences are not well appreciated, let alone translated into sufficient action. The pandemic experiences might help cherish clean air; it could help in producing clean and healthy air as a common good.

This is just a start, but I'm thinking about doing more research on that topic. One possible approach would be to discuss the "clean air experience" cross-culturally (like we do during the calls), while analysing and drawing on public (social media/media) discussions to enact clean air as a value. In turn, this could help bring pollution prevention and accountability to the forefront.

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?

I situate my research at the crossroads of history, philosophy, sociology and anthropology of science. In the past, I have focused on epigenetics, environmental research, empirical bioethics and environmental justice, within and outside the academia, as you can read here, or here. Now I am focusing on antibiotic resistance, and I use it as a lens to interpret the contradictions of the last century derived by industrial production, environmental degradation and biomedical cultures.

What interests me is the (at that time) new epistemic discourse that since the Forties has been produced to explain morphological changes of organisms produce when they experience new environmental conditions or perturbations. Through an important experiment at the base of the so-called concept of genetic assimilation, Conrad H. Waddington showed that a thermic shock can produce changes in wings’ veins of fruit flies, changes that can eventually be inherited across generations, without the environmental trigger that caused them.

This focus on production and (genetic) storage of biological differences elicited by the environment is nowadays coupled with the knowledge produced through microbiome research that explains the phenotypic patterns that recur across generations.

In a thought-provoking twist, with microbiome research, the focus shifts from production and inheritance of biological differences to production and inheritance of biological similarities. Microbiome research shows that some phenotypic patterns are allowed by ecological communities of microorganisms composing all animals. Bacteria allow the development and functioning of our bodies within an epistemic framework that is now key to understand biology. The network of vessels composing mammals’ stomach is formed through cellular differentiation and expression of genes coordinated by bacteria. The same is true for our immune system that is coordinated by gut bacteria. Food, which is an important aspect of our lives also impacts on this microecology and mediates between our biological functions and functioning of means of production whose parts dedicated to food production have immense importance for our biology and our internal and external ecologies. Antibiotic resistance is one of the crossroads where culture, biology, history and the Anthropocene meet. Indeed, Antibiotic resistance shows that means of production of our societies have an even more widespread, deep and allegedly unexpected impact on the biology of animals and plants. The microorganism can indeed adapt to resist the selective toxicity of antibiotics. Moreover, bacteria can transfer their genetic code horizontally, by touch, so that we can acquire antibiotic resistance by eating food that functions as a vector, by hosting lice on our heads and many other contacts. Bacteria that are resistant to antibiotics that have been used as growth factors in animal husbandry and to prevent diseases in livestock and aquaculture, spread in natural ecosystems and can be found in wild species. Rivers and estuarine waters are places hosting antibiotic resistance.

Searching on PubMed (the search engine for biomedical literature) titles of articles containing the terms ‘antimicrobial’ and ‘Louisiana’ I retrieved just one twelve-years-old article. No results with terms such as 'Mississippi' or 'New Orleans'. The authors collected and analysed Oysters from both waters of Louisiana Gulf and in restaurants and food retailers in Baton Rouge. In most of the samples gathered, scientists recognised the presence of bacteria (Vibrio parahaemolyticus and Vibrio vulnificus) resistant to specific antimicrobials. Food production is indeed the first factor in terms of the quantity of antibiotics used. This use and related antibiotic resistance impact all the living beings present in a specific area, and can easily travel around the globe through many channels. As Littman & Viens have highlighted, a sustainable future is a future without antibiotics as “there may be no truly sustainable way of using antibiotics in the long-run, as microorganisms have shown to be almost infinitely adaptable since the first introduction of antibiotics” (Littman & Viens 2015). But in the meanwhile, we need to use them and antibiotic resistance is a phenomenon that can be better studied through environmental research, by analysing wild species and emissions nearby livestock, for instance.

The study that I retrieved focuses on Oysters. But what about antibiotic resistance conveyed through food that is consumed by the most?

What about exposures of communities that are living in highly polluted areas?

And what is the additive value on antibiotic resistance for individuals who experience the presence of industrial pollutants and that live in areas where cancer epidemics are registered?

In this respect, there is a strategy to cope with the issue of antibiotic resistance promoted by the Center for Disease Control and Prevention. The document doesn’t mention any action to monitor and regulate the production and usage of antibiotics in livestock. Nevertheless, the CDC wants to scrutinise, through genome sequencing, “Listeria, Salmonella, Campylobacter, and E. coli and uploads sequence data into PulseNet for nationwide monitoring of outbreaks and trends.” Moreover, the document reports that “In Fiscal Year 2019, Louisiana will begin simultaneously monitoring these isolates for resistance genes. When outbreaks are detected, local CDC-supported epidemiologists investigate the cases to stop spread.”

The questions that I would like to ask (to local ppl, activists, researchers, practitioners..) are:

What could be the epidemiologic characteristics (socioeconomic status, gender, residence..) of the populations more vulnerable to antibiotic resistance?

What is the additive role of antibiotic resistance for people living in highly polluted areas?

What is the impact of antibiotic resistance for people and patients living in areas where cancer incidence is high?

And on the long run I am interested in imagining possible strategies to not only living with the problem but also to tackle the problem itself, which means to develop strategies to answer the questions:

Why antibiotic resistance, which is known since a century, it’s a problem on the rise?

What is the role and interest of capitalism, in terms of profit-making of corporations, knowledge production and environmental degradation, in not being able to resolve antibiotic resistance?

What can be strategies of local communities to tackle the problem and to promote environmental justice in terms of alliances with ecologists, doctors, epidemiologists and other activists?

Might movement, both forced and voluntary, be a defining characteristic of the anthropocene? If not, where might this quality find a home within the analytic questions? 

In preparation for the field school I am reading Edward Baptist's The Half Has Never Been Told. Chapter 1, 'Feet', tells the history of the forced migration of slaves from northern coastal plantation colonies to the south. Men and Women, chained together by iron were forced to walk in coffles to South Carolina or Georgia. As Baptist writes 

Men of the chain couldn’t act as individuals; nor could they act as a collective, except by moving forward in one direction. Even this took some learning. Stumble, and one dragged someone else lurching down by the padlock dangling from his throat. Many bruised legs and bruised tempers later, they would become one long file moving at the same speed, the same rhythm, no longer swinging linked hands in the wrong direction (25).

One of the arguments presented in this book is that American capitalism, as we know it today, would be impossible without the the foundations put in place by slave labor. The early chapters also make clear that forced migration, the movement and redistribution of enslaved persons, allowed for the southern states to expand agricultural production and increase white wealth. This eventual transformation of land and capital was predicated on the movement of peoples from one place to another, and as the passage above suggests, this movement had a rhythm, a timbre, a musical modality. 

I contrast this with Zenia Kish's article "My FEMA People": Hip-hop as disaster recovery in Katrina Diaspora where she argues that the music that emerged following Katrina was the first time American hip-hop engaged with "the thematic of contemporary black migration as a mass phenomenon in any significant way" (674). This article also draws attention to the rhythms of post Katrina life; the call and response of Bounce, the vibrations of trauma. Although lyrical expression proved the most potent way for artists to narrate the impact of environmental change and political neglect, the music itself was borne out of the experience of moving through and with disaster. 

Both writings point to the importance of further exploring the rhythms of mobilities as they relate to environmental transformations. I'm struggling to see where this point of inquiry maps to the analytic questions and may be worth some further exploration. 

Baptist, Edward. The Half Has Never Been Told: Slavery and the Making of American Capitalism. Basic Books. New York. (2014)

Kish, Zenia. “"My FEMA People ": Hip-Hop as Disaster Recovery in the Katrina Diaspora.” American Quarterly. 61, no. 3 (2009): 671–92.

I am currently at the Ecological Society of America annual conference, so I am a bit limited on time to dig into New Orleans. I want to share the link below to the NoLA Urban Water plan. Even the nomenclature of 'urban water' allows us to think a bit deeper about how natural resources take on new characteristics, transformations, and meanings based on the spaces they inhabit. For instance, what does it mean for water to be Urban and how might that designation change how it is governed or interpreted?  

Furthermore, in thinking through the Field School's call to investigate Slavery and Labor, what might be the work of creating specifically urban waters? What forms of scientific knowledge and technological devices make urban water legible?

In asking these questions I'm thinking through a recent presentation I saw by Billy Hall who called attention to the wedding of environment and race in Baltimore City as a mechanism to encourage policies of segregation. I'm inclined, as we move into New Orleans, to think further on this provocation to examine how powerful social perceptions are wedded to techniques of governance to achieve publicly oriented outcomes. 

https://livingwithwater.com/blog/urban_water_plan/about/

Zoning – Percent of Watershed Area
Commercial – 12.7%
Educational - 0.0%
Hospital – 1.3%
Industrial – 45.8%
Office – 1.3%
Open Space – 7.4%
Residential Detached 1.6%
Residential High Density Row House - 20.1%
Residential Mixed Use -1.7%
Residential Multifamily – 0.2%
Residential Low Density Row House – 3.7%
Residential Traditional – 1.1%
No Data – 3%

Land Use Type - % Watershed Area 

Barren Land - 2.4% 
Commercial -7.0% 
Forest - 1.9% 
High Density Residential - 25.9% 
Medium Density Residential - 1.4% 
Low Density Residential - 0% 
Industrial - 42.0% 
Institutional - 7.4% 
Other Developed Land -7.8% 
Transportation - 3.0% 
Wetland - 0% 
Water -1.3% 

Property Ownership – Percent of Watershed Area

City Owned – 12.8%
Private – 37.3%
Right of Way – 23.1%
Rail Roads – 25.4%
State Owned – 2.2%
Federal Owned – 0.5%