Societal resilience is an emerging paradigm. It refers to responses and strategies at the level of individuals, groups, organizations, and societies that are dealing with complex societal problems. At the same time, these responses contribute to innovative solutions that make society more resilient to current and future challenges. Societal resilience is, however, conceptually relatively undefined. This ambiguity is generally seen as problematic for scholarly work. In this chapter, the authors show that societal resilience is an important social concept because of its openness. To study resilience requires research methodologies that engage many actual stakeholders. Collaborating with societal stakeholders allows not only for co-generating knowledge of local relevance, but also stimulating a comprehensive and critical research approach. Therefore, the current openness of societal resilience does not constitute an undesirable theory gap. It enables the possibility of having plural perspectives based on the complex realities on the ground.
In this policy brief we recommend that in order to face numerous societal challenges such as migration and climate change, regional governments should create a culture of innovation by opening up themselves and stimulate active citizenship by supporting so called Public Sector Innovation (PSI) labs. These labs bring together different types of stakeholders that will explore new solutions for societalchallenges and come up with new policies to tackle them. This method has been developed and tested in a large EU funded research project.
The number of social enterprises in the Netherlands has increased rapidly. Social enterprises are looking for new, innovative and economically sustainable ways to tackle structural societal challenges that generally fall outside the direct focus and objectives of the public and private sector. Social enterprises are primarily mission-driven, where profit is not a goal in itself but a means of creating societal impact with regard to a specific social problem. Many social enterprises aim to increase their societal impact by growing their organization. However, despite their ambition, scaling up and expanding their impact remains challenging in practice. This research aimed to identify the main constraining factors in scaling up social enterprises and to develop effective methods to tackle these barriers in order to achieve more societal impact. The research was conducted among twenty social enterprises in the Netherlands, all of which aim to stimulate the labor market participation of people who are at a distance from the labor market, generally referred to as work-integration social enterprises. The results show that the majority of the participating social enterprises succeeded in achieving growth in the past two years with regard to specific indicators, but generally not in the way they had originally planned.
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Designing cities that are socially sustainable has been a significant challenge until today. Lately, European Commission’s research agenda of Industy 5.0 has prioritised a sustainable, human-centric and resilient development over merely pursuing efficiency and productivity in societal transitions. The focus has been on searching for sustainable solutions to societal challenges, engaging part of the design industry. In architecture and urban design, whose common goal is to create a condition for human life, much effort was put into elevating the engineering process of physical space, making it more efficient. However, the natural process of social evolution has not been given priority in urban and architectural research on sustainable design. STEPS stems from the common interest of the project partners in accessible, diverse, and progressive public spaces, which is vital to socially sustainable urban development. The primary challenge lies in how to synthesise the standardised sustainable design techniques with unique social values of public space, propelling a transition from technical sustainability to social sustainability. Although a large number of social-oriented studies in urban design have been published in the academic domain, principles and guidelines that can be applied to practice are large missing. How can we generate operative principles guiding public space analysis and design to explore and achieve the social condition of sustainability, developing transferable ways of utilising research knowledge in design? STEPS will develop a design catalogue with operative principles guiding public space analysis and design. This will help designers apply cross-domain knowledge of social sustainability in practice.
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.
