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.

What does "home" mean for the Amis? Do material infrastructures play a role in defining the meaning and perception of home? What is the role of Amis women in maintaining the household?

https://wcoh.nttu.edu.tw/var/file/31/1031/img/192/198393977.pdf

https://kjmu.org.tw/%E9%98%BF%E7%BE%8E%E6%97%8F%E5%82%B3%E7%B5%B1%E5%BB…

you might want to research on the meaning of home in Amis, and women's role in homekeeping

https://wcoh.nttu.edu.tw/var/file/31/1031/img/192/198393977.pdf

Protests to demand inclusion as project-affected people

Oppositional mobilizations - “internal to the logic of the project” p153 - so people do not consider something less damaging to the land and animals or a way to do it with less extraction of resources and profit for elite people in Kathmandu or in Europe/the US/China who do not really have to bear any of the cost of it. 

The author thinks that information circulated about the shareholder model - financial education - would be helpful - he notes that it would have to be oversimplified and made into financial narratives even though it is a complex socioenvironmental decisions. But his final conclusion is more optimistic. I think this kind of corporate-led education is a big foreclosure.

The certifications, following through with trainings that were asked for, and doing the certification ceremony for an audience

Rhetoric of benefit-sharing

The high levels of buy-in; the quotes from locals themselves supporting the dam and the company, they can honestly boast strong local support of the projects - what better proof than that people have dug up their life savings from the ground to buy the stocks?

The corporate actors aren’t particularly fleshed out in this account. The World Bank people weren’t expecting the Nepalese people to come deliver demands in a very educated and efficient way 

Ah there was one part where the corporate actors feel like the Nepalese people who live near the dam sites are extorting them - in this case they don’t feel like they’re helping but rather conceding to unreasonable demands, the poor corporation has to be the government and the villagers have these crazy ideas about how much money the corporation has (the corporation does have the money… it’s extremely ironic)

We don’t get to know how the corporate actors feel about the shareholder model - do they begrudge the shares not being sold to their family or something like that, or do they recognize that this is really also a sharing of risk and cost, more than just being pure benefits in a ‘help’ way?

Power outages and material scarcity → moral and social authority for government and corps to act quickly - “Discursive momentum”

Hydropower has been reframed as a sustainable/green energy source, esp. With carbon finance, so now institutions like the World Bank are funding it - it is a responsible way to bring about development. In Nepal, the government is also trying to declare Nepal as “open to business” - the ethical thing to do is to let corporations in to build hydropower dams 

Local people are there with them - some people say they are willing to have their houses submerged, the government is the unethical party for blocking the development from happening - the quote from someone is ‘some foreign country should get Nepal and develop it’ (Rest 2012:113), p151 here.

This text has a lot on governance:

More people bought shares during Chilime Hydropower Company public offering in 2010 than voted in the recent national elections in that more remote district. 

“Hydropower is our government now” - p150 - there is a “vacuum of governance” - so “hydropower sector has become a major political force in its own right, at both the national and local scales, adn investment in the hydropower sector is seen as a bellwether of political stability. The Nepalese state is reforming alongside the political economy of hydropower - the production of the hydropower future ensures the economic and political coherence of the state, and vice versa” - p150 - hydropower sector and Nepalese government are mutually constructive

P151 - “role of hydropower companies seems to rival or eclipse the role of government as a provider of social services…” So when people get classified as project-affected they finally get services that the government has failed to provide - better entitlements, faster, more promising recognition. The corporations even complain about being treated as the government: “To them we are the government, they give us all their demands” p151

Not just the corporation, but “industry beholden to donor standards and international conventions is a much more effective” p152

“Neoliberal spaces of exception” - so the state has made a lot of exceptions and ceded a lot of power to the corps (this isn’t directly CSR) 

Corps can make competing territorial claims - people who are project-affected “now attempt to make claims as project-affected people with rights, based on the architecture of international conventions and agreements”  p153

P155 - the corporation collected data to determine who would qualify as “project-affected” - it was more detailed and recent than the census - they provided this data to the local government - the corporation made not only eligibility determinations but also about what counts as living there and what documents are good enough as proof

Villagers have specifically requested cooking classes for Chinese and European food because they expect the infrastructure to bring tourists. And they did indeed get the cooking classes - there was a ceremony to certify the women who did the 2 week class, they wore traditional Tamang clothes. 

“Shareholder model” - also known as “benefit sharing” - “local” people who are categorized by the company as “project-affected” have 10% of shares reserved for them. This model was also the result of a court case - the shares are typically sold to the people that Nepali politicians are friendly with, so an alliance of people living near where the dam was being constructed demanded a share of the benefits. And presumably, the Colonial country where the hydropower company is based, in the frequent cases where the company is international, gets a very healthy chunk of the 90% of unreserved stock. 

People are familiar with the logics of CSR and mobilize to get their demands - efficiently deliver their demands when they know world bank officials are coming. 

“People-public-private-partnership” - another way to describe it.