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.

The Sampson County landfill can be smelled before seen. This olfactory indicator points toward the sensory scale of these pungent emissions but also toward the geographic scope: this landfill receives waste from as far away as Orange County (the state's most expensive property/tax base), among dozens of other distant counties, making this "hazardous site" a lesson in realizing impact beyond the immediate locale. So when we answer the question, "What is this hazard?" we must think not only about the landfill as a thing in itself but as a set of economic and political relations of capital and the transit of other peoples' trash, into this lower-income, rural, predominantly African-American neighborhood. In this way, 'thinking with a landfill' (like this one in Sampson County) enables us to analyze wider sets of relationships, NIMBY-ist policymaking, consumerism, waste management, and the racialized spatial politics that enable Sampson County to be the recipient of trash from all over the state. At the same time we think spatially and in transit, we can think historically to (a) inquire about the DEQ policies that enable this kind of waste management system; and (b) the emergent "solutions" in the green energy sector that propose to capture the landfill's methane in order to render the stench productive for the future -- that is, to enable more consumption, by turning garbage into gas. As such, the idea of "hazard" can expand beyond the site itself - impactful and affective as that site might be - to examine the uneven relations of exchange and capitalist-driven values of productivity that further entrench infrastructures such as these. [This offers a conceptual corrollary to thinking, as well, about the entrenchment of CAFOs for "green" biogas development, as we address elsewhere in the platform].

Danielle Koonce in an Opinion piece in the Fayetteville Observer, states...

"And it’s not just household garbage coming in — chemical waste and coal ash has also been disposed of in the Sampson County landfill."

"We listened to community members share how they can no longer garden or enjoy the outdoors due to the thick odor and fumes from the landfill."

"We learned that the landfill receives trash from around the state, from as far away as New York City, and even trash that comes in on ship-barges through Wilmington."

While Bryan Wuester, manager for the Sampson County Landfill states in the Sampson Independent...

"The Sampson landfill accepts waste from North Carolina only, about 5,450 tons from 16 different counties a day."

"The landfill accepts three kinds of waste: construction and demolition materials, solid waste and special waste, which are byproducts of industry. No coal ash comes into the Sampson facility..."

These are two different stories of the landfill coming from two different stakeholders, one in which needs the landfill to be in operation for a job and the other a concerned citizen worried about the disproportional impacts her community faces. While Danielle Koonce listens to the realities of the community members located around the landfill who express concern and worry, the landfill manager denies these realities and insists they are not true. This is not only invaliding to the community members who are fighting to get their voices heard but further embeds environmental injustice into the community.  

The system was built to serve organizations and individuals with humanitarian goals. The system gathers data from report, reviews, and users and compiles it into comprehensible information to help inform decision-making for humanitarian concerns. Portions of the app also focus on education and technical support for field researchers looking to collect large quantities of data.

The system is primarily used by researchers, scholars, and organizations with humanitarian interests. The app also has functions which would attract users that are beginning research and do not have established connections within the field as the app provides a support system.

The development of Twine was funded primarily through donations from individual investors interested in the data sharing aspects of the software and humanitarian aid organizations who benefit from the accessible data.

Twine provides information and software to set up compatible data collection systems that pool information into the larger system, which the app then makes available to its users. The system also includes a publishing and collaboration aspect which allows groups of people from all over the globe to access the same data and report on the findings together.

Data visualization is primarily determined by the type of data being gathered and the system for data collection being used. The app integrates data in order to both make large quantities of data easily viewable and understood, as well as compare studies with existing data stored on the system.

Users must be registered with the site to access any of the available features, and the registration is free. Once registered, users can immediately begin gathering their own data, analyzing the existing information, publishing reports or reviewing existing publications. The system also has several active data collection locations that are only available to registered users.