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.

Favelas in RJ state are often located on hills, which served as refuge for enslaved people - after the abolition of slavery (1888) - and immigrants, who worked for downtown citizens. The Law of lands (1850) prevented unoccupied lands to be owned through labour and provided government subsidies for the arrival of foreign settlers to be hired in the country, further devaluing the work of black men and women. As a result, favelas today are mostly composed of a black population, surviving decades of persecutions and low incomes while defending, preserving and creating a unique culture rooted in African origins that reverberates into music and the arts. Children in favelas, due to social and economical inequality and racial discrimination, have less possibility of personal development and professional realization. They attend public schools where in 2021, according to SAEB, students do not reach a satisfactory level in Portuguese language (69%) and math (95%).

They hardly have access to after-school courses and do not tend to see themselves represented in the academic community. This produces a disadvantage in access to higher education and consequently in opportunities for decent employment. The project Closer to the Sky aims at co-producing scientific knowledge in collaboration between astronomers and artists/educators living in the favela of Cantagalo Pavão Pavdosinho (PPG, RJ, Brazil), for children, teenagers and young adults of the community. We will work in close collaboration with the social project Ninho das Aguias, where classes and night sky observations will be held.
Offering extracurricular courses and cultural experiences to students in the PPG, we wish to enrich their school curriculum and strengthen the chance they wish to stay in education after secondary school. A key element of the courses is providing positive role models of scientists from Afrodescendant backgrounds, reinforced by the presence of local artists and educators, thus endorsing their role within the academic community. The project also creates just work opportunities for local artists and educators, who will offer workshops rooted in favela culture, while at the same time creating novel, decolonial courseware based on contextualized science, i.e materials that use the context of marginalized societies as examples where we can understand, learn and make science. The material developed within the project will be shared as Open Educational Resources in several languages.

Barbosa Araujo, Claudio Alberto. 2023. "Closer to the Sky." 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, Hawaii, 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.

“ After extensive hurricane damage fueled in part by a warmer atmosphere and warmer, higher seas, communities in Texas are considering ways to rebuild more resilient infra- structure. In the U.S. Caribbean, govern- ments are developing new frameworks for storm recovery based on lessons learned from the 2017 hurricane season.” (34)

“​​However, Harvey’s total rainfall was likely compounded by warmer surface water temperatures feeding the direct deep tropical trajectories historically associated with extreme precipitation in Texas, and these warmer temperatures are partly attributable to human-induced climate change. Initial analyses suggest that the human- influenced contribution to Harvey’s rainfall that occurred in the most affected areas was significantly greater than the 5% to 7% increase expected from the simple thermodynamic argument that warmer air can hold more water vapor. One study estimated total rainfall amount to be increased as a result of human-induced climate change by at least 19% with a best estimate of 38%, and another study found the three-day rainfall to be approximately 15% more intense and the event itself three times more likely.” (95)

“​​For example, in the Nebraska part of the northern High Plains, small water-table rises occurred in parts of this area, and the net depletion was negligible. In contrast, in the Texas part of the southern High Plains, development of groundwater resources was more extensive, and the depletion rate averaged 1.6 km3/year.” (160)

“In the Southeast (Atlantic and Gulf Coasts), power plants and oil refineries are especially vulnerable to flooding…Nationally, a sea level rise of 3.3 feet (1 m; at the high end of the very likely range under a lower scenario [RCP4.5] for 2100) (for more on RCPs, see the Scenario Products section in App. 3)47 could expose dozens of power plants that are currently out of reach to the risks of a 100-year flood (a flood having a 1% chance of occurring in a given year). This would put an additional cumulative total of 25 gigawatts (GW) of oper- ating or proposed power capacities at risk.48 In Florida and Delaware, sea level rise of 3.3 feet (1 m) would double the number of vulnerable plants (putting an additional 11 GW and 0.8 GW at risk in the two states, respectively); in Texas, vulnerable capacity would more than triple (with an additional 2.8 GW at risk).” (180)

“The Southern Great Plains, composed of Kansas, Oklahoma, and Texas, experiences weather that is dramatic and consequential. Hurricanes, flooding, severe storms with large hail and tornadoes, blizzards, ice storms, relentless winds, heat waves, and drought—its people and economies are often at the mercy of some of the most diverse and extreme weather hazards on the planet. These events cause significant stress to existing infrastructure and socioeconomic systems and can result in significant loss of life and the loss of billions of dollars in property.” (991)

“With the Gulf of Mexico to its southeast, the coastal Southern Great Plains is vulnerable to hurricanes and sea level rise. Relative sea level rise along the Texas Gulf Coast is twice as large as the global average, and an extreme storm surge in Galveston Bay would threaten much of the U.S. petroleum and natural gas refining capacity.” (992)

“The Southern Great Plains ranks near the top of states with structurally deficient or functionally obsolete bridges, while other bridges are nearing the end of their design life.16,17,18 Road surface degradation in Texas urban centers is linked to an extra $5.7 billion in vehicle operating costs annually (dollar year not reported).15 The region has tens of thousands of dams and levees; however, many are not subject to regular inspection and maintenance and have an average age exceeding 40 years.” (995)

“Along the Texas coastline, sea levels have risen 5–17 inches over the last 100 years, depending on local topography and subsidence (sinking of land).25 Sea level rise along the western Gulf of Mexico during the remainder of the 21st century is likely to be greater than the projected global average of 1–4 feet or more.26 Such a change, along with the related retreat of the Gulf coastline,27 will exacerbate risks and impacts from storm surges.” (996)

“Superimposed on the existing complexities at the intersection of food, energy, and water is the specter of climate change. During 2010–2015, the multiyear regional drought severely affected both agricultural and aquatic ecosystems. One prominent impact was a reduction of irrigation water released for the Texas Rice Belt farmers on the Texas coastal plains, as well as a reduction in the amount of water available to meet instream flow needs in the Colorado River and freshwater inflow needs to Matagorda Bay.” (997)

“The 2017 Texas State Water Plan52 indicates that the growing Texas population will result in a 17% increase in water demand in the state over the next 50 years. This increase is project- ed to be primarily associated with municipal use, manufacturing, and power generation, owing to the projections of population increase in the region.”  (1001)

[See Edwards Aquifer case study on pg. 1002.]

“Between 1982 and 2012, 82 dams failed in Texas, and during 2015 the high-hazard Lew- isville Dam was of concern due to observed seepage.” (1005)

“Within Texas alone, 1,000 square miles of land is within 5 feet of the high tide line, including $9.6 billion in current assessed property value and homes to about 45,000 people. Sensitive assets include 1,600 miles of roadway, several hospitals and schools, 4 power plants, and 254 EPA-listed contamination sites (hazardous waste and sewage).100 Up to $20.9 billion in coastal prop- erty is projected to be flooded at high tide by 2030, and by 2050, property values below the high-water mark are projected to be in excess of $30 billion, assuming current trends of greenhouse gas emissions.” (1005)

“Saltwater intrusion of aquifers has been observed in the Gulf Coast Aquifer, the second most utilized aquifer in Texas, which supports 8 million people. Although this was in part associated with heavy pumping, the Gulf Coast Aquifer remains vulnerable to further saltwater intrusion resulting from SLR and storm surge exacerbated by climate change.” (1006)

“In August 2016, a historic flood resulting from 20 to 30 inches of rainfall over several days devastated a large area of southern Louisiana, causing over $10 billion in damages and 13 deaths. More than 30,000 people were rescued from floodwaters that damaged or destroyed more than 50,000 homes, 100,000 vehicles, and 20,000 businesses. In June 2016, torrential rainfall caused destructive flooding throughout many West Virginia towns, damaging thousands of homes and businesses and causing considerable loss of life. More than 1,500 roads and bridges were damaged or destroyed. The 2015–2016 El Niño poured 11 days of record-setting rainfall on Hawai‘i, causing severe urban flooding.” (67)

“Increases in baseline sea levels expose many more Gulf Coast refineries to flooding risk during extreme weather events. For example, given a Category 1 hurricane, a sea level rise of less than 1.6 feet (0.5 m)47 doubles the number of refineries in Texas and Louisiana vulnerable to flooding by 2100 under the lower scenario (RCP4.5).” (181)

“Many urban locations have experienced disruptive extreme events that have impacted the transportation network and led to societal and economic consequences. Louisiana experienced historic floods in 2016 that disrupted all modes of transportation and caused adverse impacts on major industries and businesses due to the halt of freight movement and employees’ inability to get to work. The 2016 floods that affected Texas from March to June resulted in major business disruption due to the loss of a major transportation corridor.147 In 2017, Hurricane Harvey affected population and freight mobility in Houston, Texas, when 23 ports were closed and over 700 roads were deemed impassable.” (498)

“​​Communities in Louisiana and New Jersey, for example, are already experiencing a host of negative environmental exposures coupled with extreme coastal and inland flooding.” (548)

“An example of the effects of rising sea levels can be found in Louisiana, which faces some of the highest land loss rates in the world. The ecosystems of the Mississippi River Delta provide at least $12–$47 billion (in 2017 dollars) in benefits to people each year.155 These benefits include hurricane storm protection, water supply, furs, habitat, climate stability, and waste treatment. However, between 1932 and 2016, Louisiana lost 2,006 square miles of land area (see Case Study “A Lesson Learned for Community Resettlement”),211 due in part to high rates of relative sea level rise” (775)

“The flood events in Baton Rouge, Louisiana, in 2016 and in South Carolina in 2015 provide real examples of how vulnerable inland and coastal communities are to extreme rainfall events.” (785)

“Hurricane Harvey was a Category 4 hurricane on the Saffir–Simpson scale when it made landfall on the central Texas coast near Rockport late in the evening of August 25, 2017. It then moved inland, stalled, and eventually moved back over the coastal Gulf of Mexico waters before making landfall a final time as a tropical storm several days later in southwestern Louisiana.” (992)

“The State of Louisiana’s Coastal Protection and Restoration Authority’s 2017 Coastal Master Plan has more than 100 struc- tural and coastal restoration projects designed to provide benefits over the next decade and up to 50 years into the future.” (1320)

“Louisiana’s Comprehensive Master Plan for a Sustainable Coast has five broad objectives: reduce economic losses from flooding, promote sustainable coastal ecosystems, provide coastal habitats that support commerce and recreation, sustain the region’s unique cultural heritage, and contribute to the regional and national economy by promoting a viable working coast. The plan contains actions  that advance all five objectives, reflecting a set of tradeoffs broadly acceptable to diverse communities in the face of hazards, including coastal subsidence (sinking land) and sea level rise.” (1323)

Ch. 23, Southern Great Plains (Texas): This chapter provides five (four listed below) key messages about the climate of and climate change in the southern great plains region:

1. Food, energy, water resources - Changes in water supply due to climate change are intersecting with changes in water demand due to food, water, and energy consumption. 

2. Infrastructure - the built environment is vulnerable to climate change. Along the gulf coast of Texas, sea level rise in the coming years is a major concern. 

3. Ecosystems and ecosystem services - aquatic ecosystems are impacted by extreme weather events. Not all aquatic species can adapt. 

4. Human health - Increased temperatures that cause disease transmission and an increase in extreme events that cause injury and displacement are projected in the coming years. 

Ch. 19, Southeast (Louisiana): This chapter provides four (two listed below) key messages about the climate of and climate change in the southeastern U.S.:

1. Urban infrastructure and health risks - Cities in the southeast are particularly vulnerable to heat, flooding, and disease risk due to climate change. 

2. Increasing flood risks in coastal and low-lying regions - Low lying regions are susceptible to flooding due to extreme rainfall and sea level rise.