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.

(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.

I bring visual and graphic expertise, good organization skills, focus on pedagogical issues;

We need social media skills, organizational skills, community organizing skills, expertise on environmental research; teaching;

The case study findings in the text have been discussed with senior staff at the California Governor’s Office of Emergency Services and members of the California Latino Legislative Caucus. It has also been presented at the Yale School of Forestry and Environmental Studies and the Yale Center for the Study of Race, Indigeneity, and Transnational Migration during a Scoping Analysis workshop with California policymakers and advocates.

“Despite these disadvantages, the state of California has failed to map wildfire vulnerability based on socioeconomic status. Without an accurate identification and mapping process, the state is unable to provide local governments and community-based groups with a reliable rendering of the populations most vulnerable to the impacts of wildfire. Most importantly, by failing to identify socially vulnerable communities across California, government entities are unable to understand in advance where to target limited resources and programs (Sadd et al., 2011).” (Mendez 57)

“To further ensure participation and strengthen capacity, federal, state and local governments should provide appropriate funding to community-based organizations working directly with vulnerable populations.Community-based organizations have stronger cultural competency in engaging with communities of color and immigrants,

greater levels of trust, and more flexibility to explicitly assist these populations. In community-based planning processes, vulnerable communities are actively engaged in the identification, analysis and interventions, monitoring, and evaluation of disaster risks. This approach helps reduce their vulnerabilities and enhance their capacities.” (Mendez 59)

This text highlights the importance of a mixed methods approach to disaster planning. Specifically, the importance of incorporating qualitative research methods as a way to anchor the voices of marginalized communities within disaster planning and provide context to emerging trends observed in climate related risks.  Regarding disaster planning and undocumented immigrant communities for example, Mendez (2020) stresses that practitioners must go beyond addressing the contextual vulnerability of these communities and consider how to address systemic problems perpetuated by the agricultural industry. The lack of accountability and disregard for human life within the industry, coupled with the lack political power within undocumented immigrant communities, particularly those belonging to the Mixteco/ Indigena indigenous groups, are systems of oppression which must be addressed if climate disaster risks are to be truly addressed.

Mendez (2020) stresses that the intersectionality of race, class, gender, indigeneity, and many other dimensions of identities coalesce to shape the lived experiences of people in their local environments. Traditional quantitative methods, though useful in providing snapshots of disaster vulnerability, can do little in capturing the social environmental conditions which determine responses to extreme weather and climatic events. At best, it can serve to provide an obscured understanding of disaster risks, at worst, this one-dimensional methodology approach may exacerbate existing inequalities perpetuated by systems of racism, classicism, and sexism by rendering whole communities invisible simply by virtue of sampling biases (Mendez, 2020). The case study by which Mendez frames his central argument focuses on how Indigenous immigrants were systematically ignored in emergency response and alleviation efforts following the Thomas Fire in California’s Ventura and Santa Barbara counties.