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For insider-researchers engaged in qualitative inquiry, positionality and researcher neutrality are major concerns. Based on a study of human rights in social work practice among asylum seekers in a public institutional setting, this article highlights the insider-researcher status where the researcher was also a practitioner in the setting. Specifically, the author discusses the insider-researcher's positionality towards knowledge of the population served, knowledge of the setting and knowledge of the research process by examining both the advantages and limitations of being an insider-researcher, as well as highlights ways to address and overcome these limitations.

Assessment of the presence of hazardous materials in buildings is essential for improving material recyclability, increasing working safety, and lowering the risk of unforeseen cost and delay in demolition. In light of these aspects, machine learning has been viewed as a promising approach to complement environmental investigations and quantify the risk of finding hazardous materials in buildings. In view of the increasing number of related studies, this article aims to review the research status of hazardous material management and identify the potential applications of machine learning. Our exploratory study consists of a two-fold approach: science mapping and critical literature review. By evaluating the references acquired from a literature search and complementary materials, we have been able to pinpoint and discuss the research gaps and opportunities. While pilot research has been conducted in the identification of hazardous materials, source separation and collection, extensive adoption of the available machine learning methods was not found in this field. Our findings show that (1) quantification of asbestos-cement roofing is possible from the combination of remote sensing and machine learning algorithms, (2) characterization of buildings with asbestos-containing materials is progressive by using statistical methods, and (3) separation and collection of asbestos-containing wastes can be addressed with a hybrid of image processing and machine learning algorithms. Analysis from this study demonstrates the method applicability and provides an orientation to the future implementation of the European Union Construction and Demolition Waste Management Protocol. Furthermore, establishing a comprehensive environmental inventory database is a key to facilitating a transition toward hazard-free circular construction

In this article, I examine some of the methodological issues present for minority scholars when conducting research with an "insider-outsider" researcher status. Utilising examples from my fieldwork, I will expose how social class, care and gender identity along with positioning have impact on the research process and analysis. Based on a study that sought to collaboratively produce knowledge about how inequality is lived and challenged, I was able to gain access and build rapport with participants with my insider working class background. With my outsider positioning as a "researcher" and "academic," I encountered more nuanced relations in the research process, showing how one can also be an insider-outsider simultaneously. My additional identity and positioning as a woman and mother became influential factors to the collaborative analysis of the findings, from which I gathered new knowledge about the intersection of class and care. In placing my identity and positioning, in terms of class, care and gender, at the centre of this discussion of methodology, I raise important questions on a personal, professional and political continuum for qualitative research and the production of collaborative knowledge and action within the field of participatory research.

In diesem Beitrag befasse ich mich mit methodologischen Fragen, die für Minderheitenangehörige entstehen, wenn sie Forschung unter einer "Insider-Outsider"-Perspektive betreiben. Rückgreifend auf Beispiele aus meiner Feldforschung veranschauliche ich, in welcher Weise Klassen- und Genderzugehörigkeit den Forschungs- und Auswertungsprozess beeinflusst haben. Ziel der Studie war es, gemeinsam mit den Teilnehmenden Wissen darüber zu generieren, wie Ungleichheit gelebt wird und infrage gestellt werden kann. Zugang und Rapport wurden durch meine eigene Herkunft aus der Arbeiterklasse erleichtert. Zugleich verhalf mir meine "Outsider"-Positionierung als Forschende und Akademikerin zu einer nuancenreichen Gestaltung der Forschungsbeziehungen. Darüber hinaus wurden mein Frau- und Muttersein wesentlich für die gemeinsame Auswertungsarbeit, woraus zusätzliches Wissen über den Zusammenhang von Klassenzugehörigkeit und Fürsorge erwuchs. Indem ich meine eigenen Positionierungen ins Zentrum stelle, können wichtige Fragen zum persönlichen, beruflichen und politischen Kontinuum für qualitative Forschung und genauer für die kollaborative Wissensproduktion in der partizipativen und Handlungsforschung behandelt werden.