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West Africa

Misria
Annotation of

At the height of the West African Ebola epidemic, West African governments and Mobile Network Operators (MNOs) were barraged with requests from international humanitarian and Western data analytics agencies to provide Call Detail Record data. This data could furnish the large-scale ambitions of data modelling to track and predict contagion. Despite its utility in tracking mobility and, as such, disease, CDR’s use raises many privacy concerns. In addition, embedded within a turn towards datafication, CDR technologies for surveillance embed specific ontologies of the data-focused society they emerge from. There is a false equivalence embedded in the relationship between humans and technology. The predominantly Western idea that one phone equals one person underlines the claim that CDR data accurately tracks distinct user movements, encoding a Western “phone self-subjectivity” (Erikson 2018). However, the refusal by some African actors to hand over sensitive mobile data to international agencies was met with forceful rhetoric of Africa’s moral obligation to comply—to forgo privacy rights in the name of ‘safety.’ The Ebola context reflects an emergent digitization of emergencies in the Global South, which is reshaping the way societies understand and manage emergencies, risk, data, and technology. The big data frenzy has seen a rising demand to test novel methods of epidemic/pandemic surveillance, prediction, and containment in some of the most vulnerable communities. These communities lack the regulatory and infrastructural capacity to mitigate harmful ramifications. With this emergence is a pivot towards 'humanitarian innovation,' where technological advancements and corporate industry collaboration are foregrounded as means to enhance aid delivery. In many ways, these narratives of innovation and scale replicate the language of Silicon Valley’s start-up culture. Surveillance of the poor and disempowered is carried out under the guise and rhetoric of care. In this scenario, market ideals and data technologies (re)construe social good as dependent on the “imposition of certain unfreedoms” as the cost of protection (Magalhaes and Couldry 2021). As big data technologies, they foreground a convergence of market logistics and global networks with existing and already problematic international humanitarian infrastructures (Madianou 2019). These convergences create new power arrangements that further perpetuate an unequal and complex dependency of developing countries on foreign organizations and corporations. Pushback against these data demands showcases competing notions of where risk truly lies. While resistance to data demands was at the state level, community responses to imposed epidemic regulations ranged from non-compliance to riots. These resistances demonstrated how the questions of ‘who and what is a threat?’ or ‘who and what is risky?’ and ‘to whom?’ experience shifting definitions in relation to these technologies as global, national, and community imaginaries are reinforced and reproduced as cultural, political, as well as biological units. 

Source

Akinwumi, Adjua. 2023. "Technological care vs Fugitive care: Exploring Power, Risk, and Resistance in AI and Big Data During the Ebola Epidemic." In 4S Paraconference X EiJ: Building a Global Record, curated by Misria Shaik Ali, Kim Fortun, Phillip Baum and Prerna Srigyan. Annual Meeting of the Society of Social Studies of Science.

West Africa

Misria
Annotation of

(MNOs) were barraged with requests from international humanitarian and Western data analytics agencies to provide Call Detail Record data. This data could furnish the large-scale ambitions of data modelling to track and predict contagion. Despite its utility in tracking mobility and, as such, disease, CDR’s use raises many privacy concerns. In addition, embedded within a turn towards datafication, CDR technologies for surveillance embed specific ontologies of the data-focused society they emerge from. There is a false equivalence embedded in the relationship between humans and technology. The predominantly Western idea that one phone equals one person underlines the claim that CDR data accurately tracks distinct user movements, encoding a Western “phone self-subjectivity” (Erikson 2018). However, the refusal by some African actors to hand over sensitive mobile data to international agencies was met with forceful rhetoric of Africa’s moral obligation to comply—to forgo privacy rights in the name of ‘safety.’ The Ebola context reflects an emergent digitization of emergencies in the Global South, which is reshaping the way societies understand and manage emergencies, risk, data, and technology. The big data frenzy has seen a rising demand to test novel methods of epidemic/pandemic surveillance, prediction, and containment in some of the most vulnerable communities. These communities lack the regulatory and infrastructural capacity to mitigate harmful ramifications. With this emergence is a pivot towards 'humanitarian innovation,' where technological advancements and corporate industry collaboration are foregrounded as means to enhance aid delivery. In many ways, these narratives of innovation and scale replicate the language of Silicon Valley’s start-up culture. Surveillance of the poor and disempowered is carried out under the guise and rhetoric of care. In this scenario, market ideals and data technologies (re)construe social good as dependent on the “imposition of certain unfreedoms” as the cost of protection (Magalhaes and Couldry 2021). As big data technologies, they foreground a convergence of market logistics and global networks with existing and already problematic international humanitarian infrastructures (Madianou 2019). These convergences create new power arrangements that further perpetuate an unequal and complex dependency of developing countries on foreign organizations and corporations. Pushback against these data demands showcases competing notions of where risk truly lies. While resistance to data demands was at the state level, community responses to imposed epidemic regulations ranged from non-compliance to riots. These resistances demonstrated how the questions of ‘who and what is a threat?’ or ‘who and what is risky?’ and ‘to whom?’ experience shifting definitions in relation to these technologies as global, national, and community imaginaries are reinforced and reproduced as cultural, political, as well as biological units. 

Akinwumi, Adjua. 2023. "Technological care vs Fugitive care: Exploring Power, Risk, and Resistance in AI and Big Data During the Ebola Epidemic." In 4S Paraconference X EiJ: Building a Global Record, curated by Misria Shaik Ali, Kim Fortun, Phillip Baum and Prerna Srigyan. Annual Meeting of the Society of Social Studies of Science. Honolulu, Hawai'i, Nov 8-11.

What quotes from this text are exemplary or particularly evocative?

annika

“...Toxic Wastes and Race at Twenty (Bullard et al., 2007) revealed that communities of colour and poor communities were still being used as dumping grounds for all kinds of toxic contaminants. The authors discovered evidence that the clustering of environmental hazards, in addition to single sources of pollution, presented significant threats to communities of colour. Furthermore, the research showed that polluting industries frequently singled out communities of colour in siting decisions, countering the “minority move-in hypothesis”: the claim that people of colour voluntarily move into contaminated communities rather than being targeted in situ by dirty industries.” (122)


“Bullard (1990) has highlighted the problem of “Black Love Canals” throughout the United States, where issues of environmental injustice are deeply connected with environ- mental racism. For example, Bullard highlights the case of toxic DDT water contamination in the African American community of Triana, Alabama. In 1978, in the midst of the national media attention focused on Love Canal, residents in Triana raised complaints over ill-health effects and contaminated fish and waterfowl. Lawsuits in Triana against the Olin Corporation continued throughout the 1980s. Although the case is noted within environ- mental justice histories (see Taylor, 2014), it is not widely recognized or commemorated.” (126)


“Underpinning the slow, structural violence (see Galtung, 1969; Davies, 2019) of unequal and unjust toxic exposures is the problem of “expendability” … Pellow (2018) proposes that indispensability is a key pillar of critical environmental justice studies (alongside intersectionality, scale, and state power). This idea builds on the work of critical race and ethnic studies scholar John Marquez (2014) on “racial expendability” to argue that, within a white-dominated society, people of colour are typically viewed as expendable.” (127)

“National and international media headlines followed the Flint water crisis story as it unfolded, but, after the initial shock, Flint faded from media attention. It shifted from being a spectacular disaster to a case of slow violence. This paral- lels the dynamics of public memory surrounding many toxic disasters, struggles, and legacies.” (128)

What is the main argument, narrative and effect of this text? What evidence and examples support these?

annika

The author’s main argument is two-fold. Acute environmental disasters (e.g., Chernobyl, BP Horizon Spill, Hurricane Katrina) that garnered public attention leave behind legacies of increased support for environmental action and legislation, although the public attention span is often too short for lasting change. At the same time, these disasters have received a disproportionate amount of public attention compared to the many more slow-moving toxicity disasters that affect people in more systematic but often less visible ways. Examples of this disparity include the contrast between the 1984 Bhopal disaster coverage, and the persistent toxicity in the area in the time since then in the form of industrial waste and infrastructure that is not maintained. It is additionally important to note that the cases that don’t receive much attention often affect marginalized groups (by race, socioeconomics) disproportionately.

pece_annotation_1474467098

wolmad

The author of this article is Scott Gabriel Knowles, the department head and an associate professor in the Drexel University Department of History Center for Science, Technology and Society. His focuses are on risk and disaster, with particular interests in modern cities, technology, and public policy. He also serves as a faculty research fellow of the Disaster Research Center at the University of Delaware and since 2011 he has been a member of the Fukushima Forum collaborative research community. His more recent works include:

The Disaster Experts: Mastering Risk in Modern America (University of Pennsylvania Press, 2011).4


Imagining Philadelphia: Edmund Bacon and the Future of the City (Editor, University of Pennsylvania Press, 2009).


"Defending Philadelphia: A Historical Case Study of Civil Defense in the Early Cold War" Public Works Management & Policy, (Vol. 11, No. 3, 2007): 217-232.

pece_annotation_1474467273

wolmad

This article examines how disaster investigations in the United States have evolved over time, from the burining of the capitol building near the birth of the republic through the theater fires and boiler explosions of industrialization to the collapse of the world trade centers at the present, showing how the modern, bureaucratic system of disaster investigation was built. 

pece_annotation_1474468488

wolmad

This arguement is supported by looking at 4 specific case histories and examining the factors contributing to the investigations in each.

1. The 1814 Burning of the Capitol Building - Investigation of the disaster conducted by one engineer, B.H. Lathobe, who was given vast resources with very few obsticles, except for financial constraits and an impatient congress, to complete his investigation and reconstruct the building. 

2. 1850 Hauge St. Explosion - After a major boiler explosion in Manhattan's Lower East Side, a pannel of "jurrors" and "experts" were called together to complete investigations, bring forth the history of the fauty boiler, and place the blame for the accident in an effort to "memorialize the dead and bring them justice." Because of the way this investigation was conducted, the blame could not be accurately placed so everyone involved was blamed for the failure.

3. 1903 Iroquois Theater Fire - John Ripley Freeman, a fireproof engineering expert and factory inspector, was brought in to complete a report and provided one of the first "modern" scientific disaster investigations. He utilized a new network of investigators, engineers, insurance companies, testing labs, and inter-industry coordination that characterizes modern disaster investigation. 

pece_annotation_1474469367

wolmad

1. "Clashes over authority among powerful institutions both public and private, comptetition among rival experts for influence, inquiry into a disaster elevated to the status of a memorial for the dead: these are the base elements of the World Trade Center investigation. And yet, even a brief historical review shows us that these elements are not unique."

2. "In this article, I will show that conflicts over authority, expertise, memory, and finally the attribution of responsibility suffuse the history of disaster in the United States."

3. "Blame, memorial, and reconstruction tend to outpace technical consensus."

pece_annotation_1474469538

wolmad

Detailed research into historical cases was done to produce the claims and arguements presented in this article. No new investigation was conducted to obtain support for the arguement, and the historical cases were used to draw ties with the ongoing investigations taking place at the World Trade Center site.

pece_annotation_1474469667

wolmad

Emergency response is not specifically mentioned in this article, as the focus of the article is investigation in the aftermath of disaster. In some cases, such as the Iroquois Theater Fire and the World Trade Center, investigations found that had more adequite emergency fire response been available at the time of the accident the outcome of the disaster could have been much different.