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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.

(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.

The authors are Paul E. Farmer, Bruce Nizeye, Sara Stulac, and Salmaan Keshavjee. All of the authors are involved with the nonprofit organization Partners in Health in some capacity, with experience working with rural or poverty stricken areas. Paul E Farmer, the primary author of the article is a medical doctor also working for the United Nations who has published many other articles on similar topics.

The main argument is that susceptibility to certain diseases is not only determined by biology but also social conditions, leading to a disproportionate disease rate among the poor, and minority groups without access to medical services. The author shows that addressing these social conditions leads to a decrease in disease when combining treatment and prevention plans.

The argument is supported through a combination of historical information including rates of AIDS in the early 1990’s and a study done in Baltimore in an effort to reduce AIDS rates in African Americans, who were more likely to be in poverty, by addressing monetary barriers to heath care. Two more recent cases are also used to support the main argument, implementing a method created by the Partners in Health to prevent transmission and provide AIDS care in rural Haiti and rural Rwanda. Throughout the article references were made to the current medical professional’s dilemma, where they are in a position to see the social inequalities contributing to disease rates but not trained to report or change common social contributing factors. This makes the article more relatable to the reader that may have experience in the medical field which elps to support the argument.

“Pioneers of modern public health during the nineteenth century, such as Rudolph Virchow, understood that epidemic disease and dismal life expectancies were tightly linked to social conditions [55,56].” (Farmer 5)

“…large­-scale social forces—racism, gender inequality, poverty, political violence and war, and sometimes the very policies that address them—often determine who falls ill and who has access to care.” (Farmer 1)

“In an attempt to address these ethnic disparities in care, researchers and clinicians in Baltimore reported how racism and poverty— forms of structural violence, though they did not use these specific terms—were embodied [33,34] as excess mortality among African Americans without insurance.” (Farmer 2)

Data collected from a study done in Baltimore in the 1990’s, including statistics and observations is used to support the main argument. The methods used in Haiti and Rwanda as well as the results from implementing those methods are also used as examples for the claim that social conditions greatly impact disease susceptibility.

Emergency response is addressed in terms of both long term response and future emergency prevention. The method used by the PIH in both Haiti and Rwanda were implemented in response to high rates of disease in those places, showing that an emergency can occur gradually and the response may require creating a permanent system. Prevention is also discussed as a portion of emergency response, that it is important not only to deal with emergencies as they occur but also to identify the causes and change the system to prevent the same emergency in the future.

The article has primarily been referenced in later works by Paul E. Farmer who has written several other papers and articles on both the medical state of Haiti and Rwanda as well as structural violence in many capacities. The article was initially published in 2006 and has since been published in journals, books, as well as open online collections for use by the sts community.

The bibliography shows references to several papers by many of the same authors, showing it was produced as a continuation of previous ideas but showing new information learned through the PIH’s activities in Haiti and Rwanda. The bibliography also shows many references from the early to mid 1990’s showing similar thoughts to initial research done in Baltimore and other places with high rates of AIDS.