Oral traditions,changing rural landscapes,and science education

This forum response extends the argument made by Avery and Hains that oral traditions can be useful for including the cultures and contexts of rural areas within science instruction. To buttress the oral expressions presented in Avery and Hains, I compare oral expressions of a second rural area, 600 miles to the South, in Eastern North Carolina. I explore similarities and differences in expressions from the two areas and consider the changing rural context within Eastern North Carolina. I add a consideration of larger demographic shifts impacting many rural areas—particularly in the US South—and close with a discussion of implications for science education.     

The cognitive relevance of Indigenous and rural: Why is it critical to survival?

Using two case studies of children’s knowledge, this paper sheds light on the value, diversity, and necessity of Indigenous and place-based knowledge to science and engineering curricula in rural areas. Rural contexts are rich environments for cultivating contextual knowledge, hence framing a critical pedagogy of teaching and learning. Indigenous and rural place-based knowledge are nuanced and pragmatic in character, and offer solutions to both local and global challenges. Two case studies, drawn from the experience of Lakota and Dakota communities and rural New York State, demonstrate the need to conserve, transmit, and contribute to Indigenous and rural knowledge through experiential and place-based education that bridges the gap between children’s knowledge and global STEM. This knowledge is inherently diverse in its complexity and connectivity to habitat, and when viewed in this light, has the capacity to transform our perspectives on educational practices and policies as well as our overall outlook on conserving both ecological as well as cultural diversity worldwide. Because diversity and knowledge are necessary for the survival of life on this planet, an enriched concept of pedagogical pluralism, in terms of multiple ways of knowing, is a necessity.     

Electrical lysis of cells for detergent-free droplet assays

Efficient lysis is critical when analyzing single cells in microfluidic droplets, but existing methods utilize detergents that can interfere with the assays to be performed. We demonstrate robust cell lysis without the use of detergents or other chemicals. In our method, cells are exposed to electric field immediately before encapsulation in droplets, resulting in cell lysis. We characterize lysis efficiency as a function of control parameters and demonstrate compatibility with enzymatic assays by measuring the catalysis of β-glucosidase, an important cellulase used in the conversion of biomass to biofuel. Our method enables assays in microfluidic droplets that are incompatible with detergents.     

AI assisted ethics

The growing number of ‘smart’ instruments, those equipped with AI, has raised concerns because these instruments make autonomous decisions; that is, they act beyond the guidelines provided them by programmers. Hence, the question the makers and users of smart instrument (e.g., driver-less cars) face is how to ensure that these instruments will not engage in unethical conduct (not to be conflated with illegal conduct). The article suggests that to proceed we need a new kind of AI program—oversight programs—that will monitor, audit, and hold operational AI programs accountable.     

Genetics of Obesity

Numerous classical genetic studies have proved that genes are contributory factors for obesity. Genes are directly responsible for obesity associated disorders such as Bardet–Biedl and Prader–Willi syndromes. However, both genes as well as environment are associated with obesity in the general population. Genetic epidemiological approaches, particularly genome-wide association studies, have unraveled many genes which play important roles in human obesity. Elucidation of their biological functions can be very useful for understanding pathobiology of obesity. In the near future, further exploration of obesity genetics may help to develop useful diagnostic and predictive tests for obesity treatment.