This perspective paper contemplates the nuances of engaging with literature ethically in conducting a scoping review based on the researchers' project on girlhood studies in Indonesia. We assert that the ethical perspective extends beyond conventional primary data collection from human participants, further emphasizing the essence of a feminist methodology in this scholarly investigation. We discuss the interplay between the role of rigor and the dynamics of power relations in research, shedding light on reconciling between the pursuit of facts and acknowledgment of biases in knowledge production. This reflection offers insights into the methodological process and the researcher's role, contributing to the broader discourse on how research can effectively address issues of gender equity and social inclusion. Through this paper, we underscore the necessity of an intentional approach in unifying the domains of science and advocacy because only then can we truly catalyze transformative change. In doing so, we seek to foster a more comprehensive, objective, and empathetic understanding of the researched: in this case, the experiences of girls and young women -and, by extension, marginalized individuals in Indonesia and beyond.
Recognizing the value of experiential education in social/behavioral science research training, we designed and offered a simulation of a survey research project for doctoral students in education. Through three phases of the project, from instrument design through scale investigation and quantitative analyses, students are developed as researchers in a realistic and authentic way. In this paper, we highlight the advantages, challenges, and outcomes from applying simulation methods within graduate research methods courses, with a specific focus on survey methodology and quantitative skill development.
This mini-review arrays the pertinent tools and purposes of "Tech Mining" - shorthand for empirical analyses of Science, Technology and Innovation (ST&I) data. The intent is to introduce the range of tools, and show how they can complement each other. Tech Mining aims to generate powerful intelligence to help manage R&D and innovation processes. We offer a 5-part array to help relate the analytical elements. An overview of a case study of Hybrid and Electric Vehicles illustrates the complexities involved and the potential to generate valuable "intel."