Collaborative Methodology Research Articles

Integrating perspectives in developing mycorrhizal trait databases: a call for inclusive and collaborative continental efforts.

Global assessments of mycorrhizal symbiosis present large sampling gaps in rich biodiversity regions. Filling these gaps is necessary to build large-scale, unbiased mycorrhizal databases to obtain reliable analyses and prevent misleading generalizations. Underrepresented regions in mycorrhizal research are mainly in Africa, Asia, and South America. Despite the high biodiversity and endemism in these regions, many groups of organisms remain understudied, especially mycorrhizal fungi. In this Viewpoint, we emphasize the importance of inclusive and collaborative continental efforts in integrating perspectives for comprehensive trait database development and propose a conceptual framework that can help build large mycorrhizal databases in underrepresented regions. Based on the four Vs of big data (volume, variety, veracity, and velocity), we identify the main challenges of constructing a large mycorrhizal dataset and propose solutions for each challenge. We share our collaborative methodology, which involves employing open calls and working groups to engage all mycorrhizal researchers in the region to build a South American Mycorrhizal Database. By fostering interdisciplinary collaborations and embracing a continental-scale approach, we can create robust mycorrhizal trait databases that provide valuable insights into the evolution, ecology, and functioning of mycorrhizal associations, reducing the geographical biases that are so common in large-scale ecological studies.

Development of a competency framework for advanced practice nurses: A co-design process.

The aim of the study was to develop a comprehensive competency framework for advanced practice nurses in Belgium. A co-design development process was conducted. This study consisted of two consecutive stages (November 2020-December 2021): (1) developing a competency framework for advanced practice nurses in Belgium by the research team, based on literature and (2) group discussions or interviews with and written feedback from key stakeholders. 11 group discussions and seven individual interviews were conducted with various stakeholder groups with a total of 117 participants. A comprehensive competency framework containing 31 key competencies and 120 enabling competencies was developed based on the Canadian Medical Education Directions for Specialists Competency Framework. These competencies were grouped into seven roles: clinical expert and therapist, organizer of quality care and leader in innovation, professional and clinical leader, collaborator, researcher, communicator and health promoter. The developed competency framework has resemblance to other international frameworks. This framework emphasized the independent role of the advanced practice nurse and provided guidance in a clear task division and delegation to other professionals. It can provide a solid foundation for delivering high-quality, patient-centred care by advanced practice nurses in the years to come. This competency framework can guide further development of advanced practice nursing education in Belgium and represents a starting point for future evaluation of its feasibility and usability in education and clinical practice. Advanced practice nurses and healthcare managers can also use the framework as an instrument for personal and professional development, performance appraisal, and further alignment of these function profiles in clinical practice. Finally, this framework can inform and guide policymakers towards legal recognition of advanced practice nursing in Belgium and inspire the development of advanced practice nursing profiles in countries where these profiles are still emerging. What problem did the study address? The absence of a detailed competency framework for advanced practice nurses complicates legal recognition, role clarification and implementation in practice in Belgium. A rigorously developed competency framework could clarify which competencies to integrate in future advanced practice nursing education, mentorship programs and practice. What were the main findings? The competency framework outlined seven roles for advanced practice nurses: clinical expert and therapist, organizer of quality care and leader in innovation, professional and clinical leader, collaborator, researcher, communicator, and health promoter. Differentiation from other expert nursing profiles and clinical autonomy of advanced practice nurses were pivotal. Where and on whom will the research have impact? The comprehensive competency framework for advanced practice nurses and the collaborative methodology used can inspire other countries where these profiles are still emerging. The competency framework can be used as an instrument for role clarification, performance appraisals, continuous professional development, and professional (e-)portfolios. The competency framework can guide policymakers when establishing Belgian's legal framework for advanced practice nurses. The authors have adhered to CONFERD-HP: recommendations for reporting COmpeteNcy FramEwoRk Development in health professions. No patient or public contribution in the design of the study. A patient advisory panel commented on the developed competency framework.

Managing Operations and Supply Chains in Automotive Industry

Profitability, customer satisfaction, and innovation in the cutthroat automobile industry depend on well-managed operations and supply networks. Managing operations and supply chains in the automotive industry is complex, and this paper lays forth a comprehensive framework for doing so. An integral part of effective operations management in the automotive industry is demand forecasting and planning. Using collaborative forecasting methodologies, market trend analysis, and advanced analytics, automotive manufacturers can improve production schedules, minimize inventory costs, and foresee changes in demand. Reducing waste, enhancing process efficiency, and managing low inventory levels are all achieved through the use of lean manufacturing techniques like Just-in-Time (JIT) production and Total Productive Maintenance (TPM). Collaboration with suppliers, uninterrupted material flow, and supply chain innovation can all be achieved through supplier relationship management (SRM). Automakers may enhance product quality, cut costs, and lessen supply chain risks by communicating openly, working together to improve processes, and forming agreements that benefit all parties involved. Automobile companies can't afford to have any product flaws that damage their reputation or the loyalty of their customers, which is why quality management is so important in this industry. Statistical Process Control (SPC), Failure Mode and Effects Analysis (FMEA), and Six Sigma are a few of the rigorous quality control methods that manufacturers use to find and rectify flaws early

PENERAPAN PROJECT BASED LEARNING (PjBL) DALAM MENINGKATKAN MAHĀRAH QIRĀAH PADA KURIKULUM MERDEKA BELAJAR

<p style="text-align: justify;"><em>The competitive environment and increasingly competitive global issues necessitate competency development that satisfies 21st-century demands. The Free Learning Curriculum is a response effort in addressing it. Project Based Learning (PjBL) is a viable and effective approach when implementing the Free Learning Curriculum. With the use of Project-based Learning (PjBL) in the Independent Learning Curriculum, this study attempts to investigate the factors that help and hinder learning Arabic. The research methodology for the library research uses a qualitative descriptive approach. By gathering material from numerous pertinent sources, including books, articles, and journals pertaining to the research topic, data were acquired through documentation approaches.</em><em> </em><em>The three steps of the data analysis technique are reduction, data display, and conclusion drawing. The study's findings demonstrate that using PjBL to learn Arabic has a beneficial effect on the growth of analytical critical thinking abilities as well as creativity, teamwork, and communication in everyday situations. This discovery aligns with the goals of the Free Learning Curriculum, which aims to offer relevant projects that facilitate an engaged, relevant, and meaningful learning experience. PjBL implementation is aided by the growth of language skills, contextual learning, student collaboration, and skills-based methodologies. However, there are hurdles for students who have not acquired Arabic language skills yet are expected to engage actively, as well as time constraints, resource limitations, disparities in assessment, and other issues. When PjBL is used to learn Arabic, students can maximise their Arabic language competence and enhance their speaking skills to a great extent.</em><em></em></p>

REFLECTIONS ON CYBORG COLLABORATIONS: CROSS-DISCIPLINARY COLLABORATIVE PRACTICE IN TECHNOLOGICALLY-FOCUSED CONTEMPORARY MUSIC

AbstractCreating new works combining live musicians with new technologies provides both opportunities and challenges. The Cyborg Soloists research project has commissioned and managed the creation of 46 new works of this type, assembling teams of composers, performers, researchers and technology partners from industry. The majority of these collaborations have been smooth-running and fruitful, but a few have demonstrated complications. This article critically evaluates collaborative methods and methodologies used in the project so far, presenting five case studies involving different types of collaborative work, and exploring the range of professional relationships, the need for different types of expertise within the team and the way technology can act as both a creative catalyst and a source of creative resistance. The conclusions are intended as a toolkit – pragmatic guidelines to inform future practice – and are aimed at artists, technological collaborators, and commissioners and organisations who facilitate these types of creative collaborations.

Designing eHealth interventions for children with complex care needs requires continuous stakeholder collaboration and co-creation

ObjectiveHospital-to-home (H2H) transitions challenge families of children with medical complexity (CMC) and healthcare professionals (HCP). This study aimed to gain deeper insights into the H2H transition process and to work towards eHealth interventions for its improvement, by applying an iterative methodology involving both CMC families and HCP as end-users. MethodsFor 20-weeks, the Dutch Transitional Care Unit consortium collaborated with the Amsterdam University of Applied Sciences, HCP, and CMC families. The agile SCREAM approach was used, merging Design Thinking methods into five iterative sprints to stimulate creativity, ideation, and design. Continuous communication allowed rapid adaptation to new information and the refinement of solutions for subsequent sprints. ResultsThis iterative process revealed three domains of care – care coordination, social wellbeing, and emotional support – that were important to all stakeholders. These domains informed the development of our final prototype, ‘Our Care Team’, an application tailored to meet the H2H transition needs for CMC families and HCP. ConclusionComplex processes like the H2H transition for CMC families require adaptive interventions that empower all stakeholders in their respective roles, to promote transitional care that is anticipatory, rather than reactive. InnovationA collaborative methodology is needed, that optimizes existing resources and knowledge, fosters innovation through collaboration while using creative digital design principles. This way, we might be able to design eHealth solutions with end-users, not just for them.

Syncretic project management in the era of artificial intelligence explosion

As the technological landscape rapidly evolves, the convergence of innovation and artificial intelligence (AI) presents unprecedented opportunities and challenges for project management. This paper introduces a comprehensive mathematical model for the syncretic management of innovative projects in the age of the AI explosion. Syncretism in this context refers to the seamless integration of diverse elements, including interdisciplinary collaboration, AI technologies, and adaptive methodologies, to optimize project outcomes. The proposed model encompasses various facets of project management, innovation, and AI integration. It delineates stages of project lifecycle management, emphasizing resource allocation, risk assessment, and adaptive strategies. In the innovation management domain, the model incorporates methodologies for idea generation, technology scouting, and open innovation, recognizing AI's role in shaping the innovative landscape. A crucial aspect of the model lies in the integration of AI technologies throughout the project. This includes identifying relevant use cases, managing data effectively, selecting appropriate AI models, and establishing decision support systems. The syncretic approach emphasizes cross-functional collaboration, fostering an environment where different disciplines seamlessly contribute to project success. Resource optimization is a key focus, leveraging AI to allocate resources efficiently, predict maintenance needs, and enhance overall project performance. Ethical and legal considerations are embedded within the model to ensure responsible AI usage, and the paper outlines mechanisms for ongoing training and development to equip teams with the necessary skills. The model's effectiveness is evaluated through the lens of monitoring and evaluation, with defined key performance indicators, continuous monitoring, and feedback loops for iterative improvements. Communication and collaboration are underscored, utilizing modern tools to facilitate stakeholder engagement and effective teamwork. This paper contributes to the evolving discourse on project management by providing a robust framework that adapts to the dynamic nature of AI and innovation. It serves as a guide for project managers, interdisciplinary teams, and decision-makers navigating the challenges and opportunities presented by the syncretic management of innovative projects in the era of the AI explosion.

Can we do it together? Co-designing attentive practices with and for forced migrants in seven countries

ABSTRACT Designing feasible programmes for the attention of forced migrants’ needs is a demanding task that often relies on a group of experts at national levels. Moreover, programmes tend to be based on estimations of generic needs while migrants and fieldworkers are seldom included in the design process. Responding to the quest for a more tailored and participatory approach, we describe how attentive programmes were developed in seven countries along the migration route from the Middle East to Northern Europe. To be sensitive to local and particular needs, and to foster co-creation, we used principles of responsible research and innovation and action research. In 2019, we started with 176 migrants’ interviews, focused on detecting needs and understanding local contexts. During 2020–2022, we designed, implemented and evaluated attentive practices together with forced migrants, humanitarian agencies, NGOs and other stakeholders. Results showed that local conditions delimit the programme outcomes, but still, comprehensive conclusions could be drawn. Including migrants and fieldworkers in the process brought valuable insights and helped to challenge the top-down and nation-state centric framework of integration. We argue that collaborative methodology can produce both tailored and feasible programmes. However, the process demands time and human resources, flexibility and volunteer engagement.

Syncretic management of innovative projects in the age of ai explosion

As the technological landscape rapidly evolves, the convergence of innovation and artificial intelligence (AI) presents unprecedented opportunities and challenges for project management. This paper introduces a comprehensive mathematical model for the syncretic management of innovative projects in the age of the AI explosion. Syncretism in this context refers to the seamless integration of diverse elements, including interdisciplinary collaboration, AI technologies, and adaptive methodologies, to optimize project outcomes. The proposed model encompasses various facets of project management, innovation, and AI integration. It delineates stages of project lifecycle management, emphasizing resource allocation, risk assessment, and adaptive strategies. In the innovation management domain, the model incorporates methodologies for idea generation, technology scouting, and open innovation, recognizing AI's role in shaping the innovative landscape. A crucial aspect of the model lies in the integration of AI technologies throughout the project. This includes identifying relevant use cases, managing data effectively, selecting appropriate AI models, and establishing decision support systems. The syncretic approach emphasizes cross-functional collaboration, fostering an environment where different disciplines seamlessly contribute to project success. Resource optimization is a key focus, leveraging AI to allocate resources efficiently, predict maintenance needs, and enhance overall project performance. Ethical and legal considerations are embedded within the model to ensure responsible AI usage, and the paper outlines mechanisms for ongoing training and development to equip teams with the necessary skills. The model's effectiveness is evaluated through the lens of monitoring and evaluation, with defined key performance indicators, continuous monitoring, and feedback loops for iterative improvements. Communication and collaboration are underscored, utilizing modern tools to facilitate stakeholder engagement and effective teamwork. This paper contributes to the evolving discourse on project management by providing a robust framework that adapts to the dynamic nature of AI and innovation. It serves as a guide for project managers, interdisciplinary teams, and decision-makers navigating the challenges and opportunities presented by the syncretic management of innovative projects in the era of the AI explosion.

Decolonizing Higher Education in Norway: Critical Collaborative Autoethnographic Reflections on a University Pedagogy Course

Globally, there is a trend in academic development to centralize the importance of decolonizing curriculum and pedagogical practice in higher education (HE). In Norway, despite internationalization, diversity and inclusion being highly regarded values in HE policy documents, efforts towards decolonial change and transformation of curriculum and pedagogical practice in HE seem to be largely ignored. Understanding university teacher education as a driver of institutional educational transformation, this article contributes to the effort of decolonizing HE in Norway. Utilizing critical collaborative autoethnographic methodology, we reflect on our own roles in our early attempts to decolonize a course on decolonization and pedagogical practice offered to teaching staff at a Norwegian university college. Taking our point of departure in decolonial theory and the concept of modernity/coloniality, we critically discuss and question the potency of our own roles—as two middle-aged white cis-men and one middle-aged cis-woman, all lecturers with expertise mainly in decolonial theories, decolonial learning and teaching practices, and critical whiteness and critical discourse analysis perspectives—in transforming the ways that Western epistemology prevail in our pedagogical practices. We also address the implications for university pedagogy courses with respect to future decolonizing efforts in HE in Norway.

Increasing the Effectiveness of Prediction in Recommendation Engines Based on Collaborative Filtering

In the era of information abundance, the demand for personalized content recommendations has become paramount. Recommendation engines, particularly those employing collaborative filtering, play a pivotal role in delivering tailored suggestions based on user preferences. As technology evolves, the need to enhance the effectiveness of prediction algorithms within these engines becomes increasingly crucial. This research endeavors to contribute to this evolving landscape by delving into collaborative filtering methodologies, identifying challenges, and proposing novel strategies to elevate the accuracy and relevance of predictions in recommendation systems. Through this exploration, we aim to not only refine existing models but also pave the way for more sophisticated and reliable personalized content recommendations.
 This research aims to enhance prediction accuracy in recommendation engines utilizing collaborative filtering. Through an in-depth exploration of collaborative filtering techniques, we propose innovative approaches to improve the effectiveness of predictions. Our study addresses key challenges in collaborative filtering models, offering insights into refined algorithms and methodologies. By fine-tuning the collaborative filtering process, we anticipate a substantial boost in the overall performance of recommendation engines, ultimately advancing the field of personalized content suggestion. The simulation is performed using Java language and using two datasets Movie Lens 1M and Movie Lens 100K.The proposed model was evaluated using the Mean Absolute Error, Precision, and Recall.
 The proposed model achieved a mean absolute error value ranging between 0.78 and 0.84 using the Movie Lens 100K dataset, and a mean absolute error value ranging between 0.72 and 0.74 using the Movie Lens 1M dataset for different values of the number of user groups. As for precision and recall, the precision of the proposed model ranged between 0.97 and 0.985 using the Movie Lens 100K data set, and a precision value ranging between 0.944 and 0.954 using the Movie Lens 1M data set, also for different values of the number of user groups.
 As for the recall results, the proposed model achieved a recall value ranging between 0.755 and 0.85 using the Movie Lens 100K dataset, and a recall value ranging between 0.72 and 0.75 using the Movie Lens 100K dataset, also for different values of the number of user groups. These results were compared with the PMF, HPF, and NMF algorithms, where the proposed model proved its clear superiority over these algorithms. Using this analysis of the matrix allows us to obtain a good prediction accuracy of users' preferences and to find common groups of people with similar preferences.

Investigation of navigation information correction techniques for master-slave AUV formations in unstable communication environments

Cooperative navigation within master–slave Autonomous Underwater Vehicles (AUVs) necessitates the periodic transmission of high-precision positional data from the master AUV, endowed with advanced navigational instrumentation, to the slave AUV characterized by limited positional accuracy. This data exchange is facilitated through an acoustic sensor mechanism, enabling the quantification of relative spatial separation between the two vehicles. Employing an Extended Kalman Filter (EKF), the positioning error of the slave AUV can be estimated and corrected, enhancing its positional accuracy. However, this collaborative navigation methodology encounters dual challenges. Firstly, the intricate underwater acoustic environment introduces the potential for data loss or outlier measurements in submarine acoustic communication, thereby jeopardizing the efficacy of collaborative navigation. Secondly, the current approach solely rectifies the slave AUV's positional error upon the receipt of data from the master AUV, neglecting the fundamental divergence in positional error that accrues between successive data receptions, stemming from the inherent imprecision in the dead reckoning process. To contend with these complexities, this study presents a novel approach to rectifying navigation data within master–slave AUV formations, particularly within the context of unstable communication conditions. The proposed method harnesses an outlier adaptive discriminant EKF framework, proficiently addressing the slave AUV's positional error while simultaneously estimating and compensating for azimuthal angular errors during underwater acoustic communication between the master and slave AUVs. This method establishes a pivotal groundwork for heightening the accuracy of independent autonomous navigation within the slave AUV during subsequent operational phases. The accuracy and applicability of the proposed method are rigorously validated through simulation-based verification and lake-water field experiments. The empirical results unequivocally highlight the efficacy of the underwater acoustic communication approach put forth in this study, with an outlier recognition rate exceeding 80%. Furthermore, the method adeptly rectifies azimuthal angular errors and positional inaccuracies within the AUV, thus effecting a comprehensive enhancement of overall positioning precision. This research bears significant implications for advancing autonomous underwater navigation, providing a robust framework to bolster the precision and reliability of master–slave AUV formations, particularly under challenging communication circumstances.

The language of submission: a four-way duoethnography exploring translanguaging pedagogy with carceral students’ funds of knowledge and funds of identity

ABSTRACT Purpose Our purpose is to demonstrate that duoethnography can be both a collaborative research methodology and a pedagogical strategy for robust learning practices in secondary carceral settings. These settings are defined as those classrooms serving youth whose movement is limited by either being confined to a facility or being excluded from all other classrooms. This study explores our lived experiences, as a group of three carceral secondary school alumni and one teacher, of working together to connect funds of knowledge, funds of identity, and translanguaging to carceral classroom pedagogy. Design/methodology/approach This study is a four-way duoethnography that juxtaposes the perspectives of our multiple experiences of learning, development, and linguistic affordances. As duoethnographers, we compare and contrast our experience of one phenomenon: possible connections between pedagogy in carceral settings and the funds of knowledge, funds of identity, and translanguaging literature and approaches to education. Findings Our research reports on how we benefited from funds of knowledge, funds of identity, and translanguaging approaches. We reflect, as representatives of carceral students and their teachers, on how we, in turn, could contribute to these traditions. Finally, our work demonstrates and models the pedagogic potential of bringing these approaches together. Originality/value This study foregrounds the rarely heard voices of carceral students as we advance new approaches that connect the language of students’ communities to secondary classroom language goals and vice versa. In this way, our work helps ensure that student’s voice informs funds of knowledge, funds of identity, and translanguaging pedagogy innovation for carceral settings.

Developing Creative Potential in School Children through Museums as Cultural Institutions: A Case Study in Madrid, Spain

This study has the aim of providing a theoretical–methodological strategy for the design and implementation of educational programs that favor the development of children’s creative potential in the context of museums as cultural institutions. It was carried out in two schools with the collaboration of the National Museum of Natural Sciences and the Royal Botanical Garden in Madrid, Spain, during an entire academic year. The emphasis of the procedure is based on multi-stakeholder participation and a multidisciplinary approach through workshops based on a collaborative methodology that promotes communication between the school as an institution, the teachers, and the museum facilitators, during the various phases of the intervention. The work with the children is supported by the creative problem-solving (CPS) methodology through the development of workshops in the museums, where the children were able to be the protagonists and manage their own learning process. The obtained results show the relevance of assuming a set of methodological principles and resources that can be replicated in future intervention programs, among which the school–museum collaborative communication, creative problem solving, the use of activity records, and the role of games and fantasy as mediators in the stimulation of creativity stand out.

PEDAGOGICAL PRACTICES AND COLLABORATIVE WORK IN MATHEMATICS TEACHING IN EDUCATION IN CAMPO DE VITÓRIA DA CONQUISTA-BA: EXPERIENCE REPORTS

The object of investigation of this study is the professional experiences of Mathematics teachers who work at Escola do Campo in Vitória da Conquista-BA based on collaborative work in the processes of planning, designing, redesigning and evaluating mathematical tasks. Specifically, we aimed to analyze the pedagogical practices used by Mathematics teachers at Escola do Campo Conquistense, in order to apply collaborative work as a teaching and learning method in the context of education in rural schools. Data collection was guided by the application of a questionnaire and interviews, based on a semi-structured script, whose information produced was transcribed and interpreted in light of the content analysis method. In the general picture, we observed the mistaken predominance of the association between collaborative work and group work, in addition, from their reports we noticed the non-existence of the essential elements that constitute the collaborative methodology, therefore, we concluded that this is a method not widely used in pedagogical practices of the employees in this sample.

Enhancing Employability Skills of Biology Graduates through an Interdisciplinary Project-Based Service Learning Experience with Engineering and Translation Undergraduate Students

We describe an interdisciplinary experience based on the application of the Project-Based Service Learning (PBSL) methodology for six learning outcomes directly related to employability skills. The objective was to assess students’ learning outcomes, the level of satisfaction of students and lecturers with the PBSL, and the advantages and disadvantages of the implementation of this learning methodology. Interdisciplinary teamwork of undergraduate science, engineering, and humanities students was required to design real-world projects to develop their transferable skills, through the process of learning by doing. Students perceived that PBSL favored employability skills such as knowledge acquisition, self-directed learning, problem-solving, critical thinking, communication, and teamwork skills. Students and lecturers showed high satisfaction with PBSL and outlined its advantages as an active and experiential learning methodology. In conclusion, the implementation of the collaborative and interdisciplinary PBSL methodology is decidedly recommended to enhance Biology, Engineering, and Translation graduates’ learning satisfaction and their future employability.

The Merits and Pitfalls of Participatory Action Research: Navigating Tokenism and Inclusion with Lived Experience Members

This paper explores the merits and pitfalls of involving people with lived and living experiences of a phenomenon of interest (e.g., poverty, hunger, housing deprivation) in Participatory Action Research (PAR). As researchers who have conducted PAR and community-based research for several years, the authors have gained deep insight into the value of having lived/living experience members in PAR projects, as well as the challenges attendant to such work. Using a collaborative autoethnographic methodology, this paper provides an overview of PAR, including its purposes and objectives. Aiming to move past tokenistic inclusion, issues associated with meaningful participation, including relational (e.g., issues of power), ethical (e.g., risks of participation), emotional (e.g., research triggers), economic (e.g., remunerating contributions and financially supporting participation), representational (e.g., whose perspectives are advanced), and structural barriers (e.g., time, technological connectivity, etc.) are discussed using concrete examples. Bringing together people who may hold disparate perspectives, community ties, worldviews, and visions associated with a research undertaking can create challenges, but not including those who experience the phenomenon of study can create even more challenges.

Exploring Solidarity in Action: Key Methodological Features for Collaborative Research in Physical Education

Purpose: This paper delves into the approach of solidarity in action as a collaborative research methodology in the field of physical education, based on Freire’s concepts of solidarity and circle of culture. In a landscape marked by competitiveness and hierarchy, this paper emphasizes the importance of mutual understanding, empathy, and collective struggle for social change in academia. Results: The paper explores a case study of an international project and highlights three key features: (a) intentionality in group creation, (b) levels of collaboration and horizontal relationships, and (c) democratic facilitation. These features stress the importance of collective action, open dialogue, and shared responsibility. Solidarity in action emerges as a methodology designed to cultivate communities, promote critical engagement, and address social injustices. Conclusion: By integrating solidarity in action into research, the paper advocates for a more inclusive, equitable, and culturally sensitive approach in physical education, highlighting the potential for positive change in academia.

Care in the academy: How our online writing group transformed into a caring community

This study explores the challenges academics face in prioritising their writing and research activities within the neoliberal academy. Using a collaborative autoethnography methodology, including verbatim transcriptions of recorded meetings and personal reflections as data, we explore the processes and strategies employed within an interdisciplinary online writing community. The findings highlight that collaborative, supportive online writing groups, when underpinned by an ethics of care, can effectively address the dehumanising aspects of the neoliberal academy without compromising productivity. This study concludes that it is possible to create real communities of care whilst simultaneously meeting the individualistic demands imposed by the academy.

Goal-oriented care in an integrated care organization

i-mens is the largest integrated care organization in Flanders and Brussels with 12,000 employees serving over 70 000 customers yearly. It provides care through all phases of life, with a wide range of services. Providing Goal-Oriented Care is inherently part of the vision of i-mens. However, a clear and standardized opproach is lacking. 
 By implementing a new framework, a transparent approach is created to help our customers in an equitable way, while keeping into account that everyone has different life goals/needs. 
 At the beginning of 2022 i-mens started a process, with the support of the King Baudouin Foundation and in collaboration with Steunpunt Mantelzorg, to implement GOC within the organization. The new methodology is to be evaluated by the persons with a care and support needs, our internal staff, as well informal caregivers. i-mens believes it is important to involve the informal caregiver, because they guarantee continuity of care when the professional support ends. European research shows that 80% of long-term care is provided by informal caregivers.
 During ICIC23 we wish to highlight the following topics: The choice of methodology based on the following parameters: There are various methods of GOC in Flanders. These methods were evaluated on the parameters: ‘understandable’, ‘personal input’, ‘time investment’, usable in their context, etc. We opted for 2 possible methods. These methodologies were presented to a test audience (focus groups).
 The survey from the focus groups: During autumn 2022, we organized three focus groups: clients, informal caregivers and our employees. The two chosen methodologies were presented to a test audience. Based on their findings, we opted for one methodology.
 The testings: After the decision has been made about the chosen methodology, we are going to start the implementation (spring 2023). Employees initiate the methodology in collaboration with the client and their informal caregiver. 
 In a later stage, this methodology will be used as a guideline during multidisciplinary meetings where various stakeholders (general practitioners, home nurses and other primary care actors) participate.
 The target audience: The GOC-methodology is aimed at every customer, but due to practical and efficiency reasons we initially focused on the customer living at home. During the presentation, their findings will be communicated.
 Challenges: Whitin this topic we explain the various challenges that we encounter along the way: rethinking of the customer, informal caregiver (empowerment), external primary actors and the internal employees.
 However it should be stressed that besides choosing a methodology, the basic attitude of professional caregivers plays a key role as well in achieving a successful Goal-Oriented Care. Both elements form the basis of Goal-Oriented Care as you cannot have the one without the other. Since autumn 2022, we have been communicating about GOC to all our 12,000 employees through (digital) newsletters, conversations with the training department, organizing information moments, etc.