Analyze

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.

The political process is also always a learning process, a process of attunement. And becoming attuned to relations of power also means becoming compromised, to a certain degree, despite whether this attunement takes the form of compliance or resistance. For instance, the oil and gas industry has had a large influence on the structure and character of renewable energy advocacy in Austin, Texas, even as it was being developed as a strategy of resistance to petroculture. In particular, there was the purposeful move to imitate the mineral rights contracts that the oil and gas industry had developed in order to drill on private land, creating similarly structured leasing agreements for what would come to be known as “wind farms” in many of the same locations as former drilling sites. The idea here was to create a wealthy landowning class that could help lobby for renewable energy, much like previous land owners had for the oil and gas industry. Secondly, the Texas Renewable Energy Industry Association (TREIA) collectively decided to invite the utility industry to join their ranks in order to pursue renewable energy at the utility scale through the use of Renewable Portfolio Standards. And while Austin’s early energy advocates still speak of this as a winning strategy (and indeed it was), it also reproduced the utility as a center of power and promoted a top-down style of environmental advocacy that had long shut Austin's minoritized and marginalized communities out of its environmental benefits. Building support in this way, by appealing to those who are not only likely to share your perspective and its blindspots, but that have also already shaped the political landscape in their interest, this creates the perfect conditions for injustices to transpire, persist, and even intensify. Thus, part of the struggle for just transition entails keeping the question of what counts as environmental justice or injustice held open at the same time that the former is being pursued and/or the latter resisted. 

Adam, James. 2023. "Petro-ghosts." 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.

(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.

Figure 1 was built to serve members of the medical community. It was developed to share unique medical conditions and discuss diseases amongst doctors, nurses, and students.

Healthcare professionals, from all levels, doctors to even students, are invited to share and discuss conditions and diseases. 

The Figure 1 website does not specify how the development of the system was funded. 

Verified members can post pictures of patient's, tests, equipment, or images as long as there is not patient identifying information. All members of figure one are encouraged to comment and discuss the condition or test in the picture. 

Users can access the site from a computer or there is an app available for smart phones. 

This system would be difficult to work with because it publicises patient's  conditions even if it does not directly identify who they are. Some of the diseases or conditions these patients are faced with can be considered humiliating and while the intent of the app is to be educational, a healthcare professionals are faced with the ethical decision as to whether or not post the picture of their patient. A guideline Figure 1 outlines is that before taking and posting a picture the provider should have consent from the patient. Hospitals, clinics, agency, ect. are also faced with whether to allow their members to engage in these activities as patient confidentiality could be called into question. 

Figure 1 was developed as a platform to serve medical professionals and students by providing widespread access to information on medical cases and enable discussion among medical professionals.