De dissertatie "Probing Futures, Acting Today" van Caroline Maessen onderzoekt hoe organisaties alternatieve toekomsten kunnen verbeelden om dagelijkse toekomstvormende praktijken te veranderen teneinde complexe maatschappelijke uitdagingen aan te pakken. Organisaties hebben de neiging door lineair denken hun verbeeldingsvermogen te beperken tot conventionele toekomsten, wat effectieve reacties op problemen zoals klimaatverandering en sociale ongelijkheid belemmert. Het gevolg is dat na de zoveelste heisessie voor visieontwikkeling, er nog steeds niets fundamenteel verandert. Hoe de toekomst zich ontvouwt, tegen de achtergrond van maatschappelijke complexe problemen, gaat vaak voorbij onze collectieve verbeeldingskracht. Organisaties hebben moeite om zich te verbinden met onconventionele toekomsten en acties in het heden daarop af te stemmen. Voor betekenisvolle verandering moeten organisaties navigeren tussen de aantrekkingskracht van inspirerende onconventionele toekomsten en de behoefte aan stabiliteit en controle. Maessen heeft in twee (semi) publieke organisaties onderzocht waarom dit zo lastig is en hoe organisaties daarin ondersteund kunnen worden.
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This chapter proposes an integrated perspective on institutional work as ingenious actions of entrepreneurs for the purpose of opportunity development. Ingenuity refers to actions undertaken by entrepreneurs who work within ‘the institutional setting and uses this embeddedness by co-opting, coordinating, and whenever possible, drawing on organizational slack to effect change’ (Lampel et al., 2011: 715). Ingenuity involves bringing together thinking and acting, individually and collectively, to take advantage of opportunities or to overcome problems. As such, ingenuity denotes the space between a challenge and a solution (Homer-Dixon, 2000). We present day-to-day actions of an ingenious entrepreneur who combines opportunity development and institutional work. The concept of opportunity development is central in the study of entrepreneurship (Shane and Venkataraman, 2000). Recognizing opportunities, entrepreneurs develop initial ideas of new combinations of products, processes, markets and organizing to be offered to the market. Opportunity development requires the dynamic and interactive process to prepare a resource base and create an organizational structure for opportunity exploitation, and interactions with a diverse set of stakeholders in the institutional environment and understand their conflicting needs and motivations and to perceive possibilities resulting from these (Slotte-Kock and Coviello, 2010).
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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 focus of the research is 'Automated Analysis of Human Performance Data'. The three interconnected main components are (i)Human Performance (ii) Monitoring Human Performance and (iii) Automated Data Analysis . Human Performance is both the process and result of the person interacting with context to engage in tasks, whereas the performance range is determined by the interaction between the person and the context. Cheap and reliable wearable sensors allow for gathering large amounts of data, which is very useful for understanding, and possibly predicting, the performance of the user. Given the amount of data generated by such sensors, manual analysis becomes infeasible; tools should be devised for performing automated analysis looking for patterns, features, and anomalies. Such tools can help transform wearable sensors into reliable high resolution devices and help experts analyse wearable sensor data in the context of human performance, and use it for diagnosis and intervention purposes. Shyr and Spisic describe Automated Data Analysis as follows: Automated data analysis provides a systematic process of inspecting, cleaning, transforming, and modelling data with the goal of discovering useful information, suggesting conclusions and supporting decision making for further analysis. Their philosophy is to do the tedious part of the work automatically, and allow experts to focus on performing their research and applying their domain knowledge. However, automated data analysis means that the system has to teach itself to interpret interim results and do iterations. Knuth stated: Science is knowledge which we understand so well that we can teach it to a computer; and if we don't fully understand something, it is an art to deal with it.[Knuth, 1974]. The knowledge on Human Performance and its Monitoring is to be 'taught' to the system. To be able to construct automated analysis systems, an overview of the essential processes and components of these systems is needed.Knuth Since the notion of an algorithm or a computer program provides us with an extremely useful test for the depth of our knowledge about any given subject, the process of going from an art to a science means that we learn how to automate something.
This project develops a European network for transdisciplinary innovation in artistic engagement as a catalyst for societal transformation, focusing on immersive art. It responds to the professionals in the field’s call for research into immersive art’s unique capacity to ‘move’ people through its multisensory, technosocial qualities towards collective change. The project brings together experts leading state-of-the-art research and practice in related fields with an aim to develop trajectories for artistic, methodological, and conceptual innovation for societal transformation. The nascent field of immersive art, including its potential impact on society, has been identified as a priority research area on all local-to-EU levels, but often suffers from the common (mis)perception as being technological spectacle prioritising entertainment values. Many practitioners create immersive art to enable novel forms of creative engagement to address societal issues and enact change, but have difficulty gaining recognition and support for this endeavour. A critical challenge is the lack of knowledge about how their predominantly sensuous and aesthetic experience actually lead to collective change, which remains unrecognised in the current systems of impact evaluation predicated on quantitative analysis. Recent psychological insights on awe as a profoundly transformative emotion signals a possibility to address this challenge, offering a new way to make sense of the transformational effect of directly interacting with such affective qualities of immersive art. In parallel, there is a renewed interest in the practice of cultural mediation, which brings together different stakeholders to facilitate negotiation towards collective change in diverse domains of civic life, often through creative engagements. Our project forms strategic grounds for transdisciplinary research at the intersection between these two developments. We bring together experts in immersive art, psychology, cultural mediation, digital humanities, and design across Europe to explore: How can awe-experiences be enacted in immersive art and be extended towards societal transformation?
