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What is the main argument, narrative and effect of this text?

margauxf

The authors review literature on the datafication of health, which they identify as the way through which health has been quantified on a number of different scales and registers. They focus primarily on the datafication of health in clinical health care and self-care practices, rather than medical research and public health infrastructures. From this literature, they identify three key themes: datafied power (the ways through which data permeates and exerts power over forms of life), living with data (focused on datafication as an intimate form of surveillance, and a technology of the self), and data-human mediations (which emphasizes the nonhuman elements mediating datafication dynamics and experiences—such as algorithms, data infrastructure and data itself).

 

In examining literature on datafied power, the authors acknowledge a lack of scholarship on understanding data and datafication in terms agency, rather than simply power and domination. For instance, data is sometimes mobilized in “creative and even pioneering ways (Rapp 2016)” (265).

 

They describe literature on “living with data” as increasingly focus examining the social, narrative, and affective dimensions of data practices and experiences (e.g. work on the “Quantified Self,” a group seeking self-knowledge through numbers – a form of relationality that might be described as datasociality). Some scholars have argued that data can render “‘feelings and problems more tangible and comparable” (Sharon & Zandbergen 2016, p. 11)” (267). Some have also acknowledged as well a “curious resonance between the vision of empowered, resisting individuals that many ethnographers of self-tracking celebrate, and the rhetoric of consumer empowerment found in discourses of digital health (Schull 2017, Sharon 2017)” (267).

 

The literature on data-human mediations emphasizes the agency, liveliness and/or performativity of nonhuman elements—essentially, how they structure and shape the possibilities for action. For instance: “as social expectations of normality and health become embedded in tracking devices’ target numbers, presentation of scores, and gamified incentives (Depper & Howe 2017, Whitson 2013), a “numerical ontology” comes to suffuse everyday practices and “the ways in which people relate to their own bodies” (Oxlund 2012, p. 53; see also Jethani 2015, p. 40)” (269). Perspectives and action can be enabled or disabled by wide variety of factors: the design and performativity of data technology software (user interface, operational and analytical algorithms), hardware (devices, sensors), data itself (as illustrated in different ways), and data infrastructures (labs, data centers, serve and cloud storage, and networks that organize how data is stored and circulated). An analytically constructive focus in this literature has emerged by applying the concept of “assemblage” as a way of tracing how data moves: “where it flows, where it finds impasses, how algorithms act on it along the way” (270).

 

Lastly, the authors identify scholarship on “data activism” as an emerging focus on exploring how data technology capacities might be employed to promote social justice, collective action, and political participation, as well as to challenged dominant norms and ideologies: “Individual self-tracking data, for instance, can have social and political potential when it is pooled to identify health inequalities, collective environmental exposure, or disparities in quality of life (Gabrys 2014).” (271)

 

Responsive Curriculums

prerna_srigyan
  • The process of designing curriculum is quite useful as it details how different activities correspond to learning goals in science, mathematics, and technology. Fig. 3 describes the steps: selecting content through content specialists in the POAC team, making a curriculum outline, individual meetings with content specialists, and making the lesson plans. I really like the activities they designed, such as comparing different mask materials and how they protected against differently-sized viruses. They were also given time to research career pathways and present on epidemiology careers, a step that invites students to imagine career pathways. 

  • I realize the scope and audience of this paper is different, but I am so curious about how the Imhotep Academy created a setting that encouraged underrepresented students to participate and speak up, given that they cite evidence of how difficult that can be. How did they choose participants? 

  • Having read Freire’s Pedagogy of the Oppressed recently, I am thinking about his approach to curriculum design that is based on a feedback loop between would-be learners and would-be educators. The roles of learners and educators aren’t fixed. Content development is not done beforehand just by content specialists but in an iterative process with multiple feedback loops. Since very few research teams have the time or the resources to deploy Freire’s rigorous approach, I am not surprised that most curriculum development does not follow the route. And educators are working with former experiences anyway. So I am curious about how the authors’ previous experiences shaped their approach to curriculum design?

  • A context for this paper is the controversy on the proposed revisions to the California math curriculum that conservative media outlets argue “waters down” calculus–a cherry topping on the college admissions cake–to privilege data science in middle-school grades. Education researchers contend that apart from physics and engineering majors, not many colleges actually require calculus for admissions (many private institutions do), and that the relevance of advanced calculus for college preparation is overrated. 

  • National Commission on Excellence in Education ‘s 1983 report Nation At Risk: the need for a new STEM workforce specializing in computer science and technology 

  • National Council on Mathematics 2000 guidelines for preparing American students for college in Common Core Mathematics 

  • Stuck in the Shallow End: Virtual segregation; Inequality in learning computer science in American schools focusing on Black students 

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joerene.aviles

The program goal is to "help prepare for, protect against, respond to, and recover from a growing array of natural and human-caused risks and threats in New York State and around the world" (in mission statement) by providing education, research and training opportunities in homeland/cybersecurity to its students.

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joerene.aviles

The college was created to continue New York State's position as a leader in homeland security, cybersecurity and emergency preparedness and as a response to the growing need for professionals in those fields. Advances in technology, and increased threats to terrorism and cybersecurity in the past few decades called for the formation of this college. Overall it was a strategic political and economic decision by Governor Andrew Cuomo as it would provide training in a field that's expected to grow by 650,000 employees (for cybersecurity) in the next decade*.

*http://www.albany.edu/news/57214.php

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joerene.aviles

The college offers undergraduate major and minor programs in emergency preparedness, homeland security, and cybersecurity. The major requires 39 credits and 12 in a concentration field while the minor requires 18 credits (6 classes) within the college. They also offer a graduate certificate in emergency preparedness, homeland security, and cybersecurity.

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joerene.aviles

News coverage mostly is focused on how its the first college of its kind to offer degrees specifically tailored to homeland security and emergency preparedness, and one article highlighted some of the first to graduate with a minor from the college.

http://www.lohud.com/story/news/education/2016/05/15/homeland-security-…