Due to the elimination of the established instructional methods from the impact of COVID-19, the implementation of mass synchronous learning created a new strain of educational experiences for students that took a toll on social interaction. In the Spring 2022 semester, a survey was conducted of students that were previously or currently enrolled in the principal undergraduate biological sciences course, BIO 340: General Genetics, to assess both the prevalence of social interaction in the lives of the students and the potential ways this information could be molded to improve student’s educational and motivational experience. The results of this survey indicated that there was a considerable lack of social interaction and motivation among students that have taken or are taking BIO 340. Through a process of collecting qualitative data of students by 1-on-1 interviews, the majority of students requested that professors communicate with each other to learn more about ways they can incorporate social interaction as external technological applications and tools have been developed. Students brought up many external tools that professors in other biological sciences courses have been utilizing to engage student-to-student interaction and found these resources to increase their level of understanding and motivation. The driving interest behind this creative project is to understand the importance of peer-to-peer learning that may help guide professors that are new to synchronous teaching so that they may increase their level of understanding and comfortability of accessing resources that students themselves have shown to increase their educational experiences. The mixed-method design served as a means to understand what types of social interaction enhance students’ education and motivation.

Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other Backward Classes.” This method obscures the diversity of experiences, indicators of well-being, and health outcomes between castes, tribes, and other communities in the “scheduled” category. This study analyzes data on 699,686 women from 4,260 castes, tribes and communities in the 2015-2016 Demographic and Health Survey of India to: (1) examine the diversity within and overlap between general, government-defined community categories in both wealth, infant mortality, and education, and (2) analyze how infant mortality is related to community category membership and socioeconomic status (measured using highest level of education and household wealth). While there are significant differences between general, government-defined community categories (e.g., scheduled caste, backward class) in both wealth and infant mortality, the vast majority of variation between communities occurs within these categories. Moreover, when other socioeconomic factors like wealth and education are taken into account, the difference between general, government-defined categories reduces or disappears. These findings suggest that focusing on measures of education and wealth at the household level, rather than general caste categories, may more accurately target those individuals and households most at risk for poor health outcomes. Further research is needed to explain the mechanisms by which discrimination affects health in these populations, and to identify sources of resilience, which may inform more effective policies.