This article discusses challenges of language differences in qualitative research, when participants and the main researcher have the same non-English native language and the non-English data lead to an English publication. Challenges of translation are discussed from the perspective that interpretation of meaning is the core of qualitative research. As translation is also an interpretive act, meaning may get lost in the translation process. Recommendations are suggested, aiming to contribute to the best possible representation and understanding of the interpreted experiences of the participants and thereby to the validity of qualitative research.
Deze casestudie geeft inzicht in verschillende soorten kennis die kenmerkend zijn voor applied design research. Er wordt onderscheid gemaakt tussen kennis over de huidige situatie, over wenselijke alternatieven en over effectieve oplossingen om daar te komen. Ofwel, kennis hoe het is, kennis over hoe het kan zijn en kennis over hoe het zal zijn als we effectieve oplossingen toepassen. Elk van deze soorten kennis heeft andere kwaliteitscriteria.
from the publisher's site: "The purpose of this paper is to investigate the nature of qualitative construction partnering research. Design/methodology/approach. In total, 20 qualitative peer-reviewed papers about construction partnering research are reviewed. Findings: The results show four methodological gaps. All identified gaps have in common that specific time and place dependent details that may have influenced understanding of studied individuals are underexposed. Research limitations/implications The main limitation of this study is that empirical-based papers are divided into either qualitative or quantitative research, but the boundary between those categories is not as black and white as it may look like in first instance." Marieke Venselaar, Hans Wamelink, (2017) "The nature of qualitative construction partnering research: literature review", Engineering, Construction and Architectural Management, Vol. 24 Issue: 6, pp.1092-1118, https://doi.org/10.1108/ECAM-04-2016-0098
Due to societal developments, like the introduction of the ‘civil society’, policy stimulating longer living at home and the separation of housing and care, the housing situation of older citizens is a relevant and pressing issue for housing-, governance- and care organizations. The current situation of living with care already benefits from technological advancement. The wide application of technology especially in care homes brings the emergence of a new source of information that becomes invaluable in order to understand how the smart urban environment affects the health of older people. The goal of this proposal is to develop an approach for designing smart neighborhoods, in order to assist and engage older adults living there. This approach will be applied to a neighborhood in Aalst-Waalre which will be developed into a living lab. The research will involve: (1) Insight into social-spatial factors underlying a smart neighborhood; (2) Identifying governance and organizational context; (3) Identifying needs and preferences of the (future) inhabitant; (4) Matching needs & preferences to potential socio-techno-spatial solutions. A mixed methods approach fusing quantitative and qualitative methods towards understanding the impacts of smart environment will be investigated. After 12 months, employing several concepts of urban computing, such as pattern recognition and predictive modelling , using the focus groups from the different organizations as well as primary end-users, and exploring how physiological data can be embedded in data-driven strategies for the enhancement of active ageing in this neighborhood will result in design solutions and strategies for a more care-friendly neighborhood.
Developing a framework that integrates Advanced Language Models into the qualitative research process.Qualitative research, vital for understanding complex phenomena, is often limited by labour-intensive data collection, transcription, and analysis processes. This hinders scalability, accessibility, and efficiency in both academic and industry contexts. As a result, insights are often delayed or incomplete, impacting decision-making, policy development, and innovation. The lack of tools to enhance accuracy and reduce human error exacerbates these challenges, particularly for projects requiring large datasets or quick iterations. Addressing these inefficiencies through AI-driven solutions like AIDA can empower researchers, enhance outcomes, and make qualitative research more inclusive, impactful, and efficient.The AIDA project enhances qualitative research by integrating AI technologies to streamline transcription, coding, and analysis processes. This innovation enables researchers to analyse larger datasets with greater efficiency and accuracy, providing faster and more comprehensive insights. By reducing manual effort and human error, AIDA empowers organisations to make informed decisions and implement evidence-based policies more effectively. Its scalability supports diverse societal and industry applications, from healthcare to market research, fostering innovation and addressing complex challenges. Ultimately, AIDA contributes to improving research quality, accessibility, and societal relevance, driving advancements across multiple sectors.
The HAS professorship Future Food Systems is performing applied research with students and external partners to transform our food system towards a more sustainable state. In this research it is not only a question of what is needed to achieve this, but also how and with whom. The governance of our food system needs rethinking to get the transformative momentum going in a democratic and constructive manner. Building on the professorship’s research agenda and involvement in the transdisciplinary NWA research project, the postdoc will explore collective ownership and inclusive participation as two key governance concepts for food system transformation. This will be done in a participatory manner, by learning from and with innovative bottom-up initiatives and practitioners from the field. By doing so, the postdoc will gain valuable practical insights that can aid to new approaches and (policy) interventions which foster a sustainable and just food system in the Netherlands and beyond. A strong connection between research and education is created via the active research involvement of students from different study programs, supervised by the postdoc (Dr. B. van Helvoirt). The acquired knowledge is embedded in education by the postdoc by incorporating it into HAS study program curricula and courses. In addition, it will contribute to the further professional development of qualitative research skills among HAS students and staff. Through scientific, policy and popular publications, participation in (inter)national conferences and meetings with experts and practitioners, the exposure and network of the postdoc and HAS in the field of food systems and governance will be expanded. This will allow for the setting up of a continuous research effort on this topic within the professorship via follow-up research with knowledge institutes, civic society groups and partners from the professional field.
