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Analyze

LA sewage sludge court fight Question 2

mtebbe

11 wastewater treatment plants in LA County produce half a million tons of treated sewage sludge from human waste per year. Sludge is sent to a lnadfill in Kern County, the Westlake Facility, and some to Arizona

water pollution from sewage sludge

air pollution from sewage sludge and from trucks hauling the sludge to the farm - 55 trucks per day/20,000 per year at full capacity

LA sewage sludge court fight Question 4

mtebbe

LA County: "It's an important investment in long-term, reliable infrastructure that is critical to our ability to provide vital wastewater treatment services"

Westlake Farms: receiving less than they bargained for

Local farmers: it's a way to dispose of green waste (like wood chips)

Environmental groups and residents: concerned about air and water pollution, sued the project but settled after LA agreed to use clean-fuel trucks to haul waste. “It seemed like another deal where the Central Valley gets shafted by Southern California,” she said. “We send them good water to drink, and they send us back their poo. … I can’t say I’ll be really upset if they’re not operating at 100%.”

LA sewage sludge court fight Question 5

mtebbe

LA County: bought 14,500 acres of a farm for $27.4 million, used 2,500 acres to construct the $130 million composting plant, leased the remaining land back to the farm. The plant processes less than a 10th of what it was supposed to process, providing the farm with much less fertilizer than they expected.

Westlake Farms: sold the land to LA County, sued to have the sale undone after the plant produced much less fertilizer than expecte

Kings County and other nearby counties: banned application of biosolids (human waste) directly onto land, forcing LA to build a composting plant

Lead Hazard

karishmakkhanal
Annotation of

WHAT (& WHAT FOR): Lead is a metal often found in pipes, and in old paint (before it was banned in paint in the late 1970s). Before 1996, lead also found in vehicle fuel resulting in  soil contamination in many communities from both paint dust and vehicle pollution. 

HEALTH IMPACT: Lead is a neurotoxin and is known to have no safe blood lead level in children. 

Has been linked to:

  1. Brain swelling, anemia, seizures, renal failure, reduced IQ, and ADHD

  2. Damages brain development in children

  3. Connected to behavioral problems like aggression and bullying, and internalizing problems such as depression and anxiety 

LOCAL IMPACT: Recent research in Santa Ana has shown that there is a disproportionately impact of solid lead contamination crisis on lower income, people of color communities. 

POSSIBLE RESPONSES: There are many ways to respond to lead contamination:

  1. Providing special health care for children with high blood lead levels, and investigating possible sources of lead exposure in homes, daycares and school, playground, etc.

  2. Implement strict housing policies where landlord and city housing officials are required to have lead inspections of homes for lead paint hazards (especially in low income, people of color communities)

  3. Requiring a minimum reduction standard for lead paint in older homes 

  4. Requiring blood lead level test as part of the routine check up for children (extremely important for children in low-income housing)

What is the main argument, narrative and effect of this text?

margauxf

The authors review literature on the datafication of health, which they identify as the way through which health has been quantified on a number of different scales and registers. They focus primarily on the datafication of health in clinical health care and self-care practices, rather than medical research and public health infrastructures. From this literature, they identify three key themes: datafied power (the ways through which data permeates and exerts power over forms of life), living with data (focused on datafication as an intimate form of surveillance, and a technology of the self), and data-human mediations (which emphasizes the nonhuman elements mediating datafication dynamics and experiences—such as algorithms, data infrastructure and data itself).

 

In examining literature on datafied power, the authors acknowledge a lack of scholarship on understanding data and datafication in terms agency, rather than simply power and domination. For instance, data is sometimes mobilized in “creative and even pioneering ways (Rapp 2016)” (265).

 

They describe literature on “living with data” as increasingly focus examining the social, narrative, and affective dimensions of data practices and experiences (e.g. work on the “Quantified Self,” a group seeking self-knowledge through numbers – a form of relationality that might be described as datasociality). Some scholars have argued that data can render “‘feelings and problems more tangible and comparable” (Sharon & Zandbergen 2016, p. 11)” (267). Some have also acknowledged as well a “curious resonance between the vision of empowered, resisting individuals that many ethnographers of self-tracking celebrate, and the rhetoric of consumer empowerment found in discourses of digital health (Schull 2017, Sharon 2017)” (267).

 

The literature on data-human mediations emphasizes the agency, liveliness and/or performativity of nonhuman elements—essentially, how they structure and shape the possibilities for action. For instance: “as social expectations of normality and health become embedded in tracking devices’ target numbers, presentation of scores, and gamified incentives (Depper & Howe 2017, Whitson 2013), a “numerical ontology” comes to suffuse everyday practices and “the ways in which people relate to their own bodies” (Oxlund 2012, p. 53; see also Jethani 2015, p. 40)” (269). Perspectives and action can be enabled or disabled by wide variety of factors: the design and performativity of data technology software (user interface, operational and analytical algorithms), hardware (devices, sensors), data itself (as illustrated in different ways), and data infrastructures (labs, data centers, serve and cloud storage, and networks that organize how data is stored and circulated). An analytically constructive focus in this literature has emerged by applying the concept of “assemblage” as a way of tracing how data moves: “where it flows, where it finds impasses, how algorithms act on it along the way” (270).

 

Lastly, the authors identify scholarship on “data activism” as an emerging focus on exploring how data technology capacities might be employed to promote social justice, collective action, and political participation, as well as to challenged dominant norms and ideologies: “Individual self-tracking data, for instance, can have social and political potential when it is pooled to identify health inequalities, collective environmental exposure, or disparities in quality of life (Gabrys 2014).” (271)