conceptualizes the tension between autonomous art, community art and the state
AIMS: This study investigated the extent and characteristics of mental health issues in contemporary dance students, as clear insight into these health problems is lacking. METHODS: During one academic year, 134 dance and dance-teacher students were monitored on a monthly basis using the Performing artist and Athlete Health Monitor (PAHM). RESULTS: In total, 130 students were included in the analyses, comprising 81 dance students and 49 dance-teacher students. The response rate of the monthly questionnaires was 79.7%. Overall, 96.9% of the students reported at least one physical/mental health problem. The incidence proportion (IP) of all reported mental health issues for one academic year was 44.6% (n=58). Furthermore, 29.2% of the students reported a mental health issue as their most severe health problem, of whom 39.4% indicated a substantial mental health issue (i.e., problems leading to moderate, severe, or complete reductions in training volume or performance). The monthly IP of mental health issues ranged from 2.9 to 8.9% and 0 to 5.3% for substantial mental health issues. The most reported types of mental health issues were general anxiety (20.0%), stress due to external factors (18.3%), and constant tiredness (16.7%). Dance-teacher students of all study years and second-year students from both educational programs indicated significantly more mental health issues, while sex showed no significant differences. CONCLUSIONS: Contemporary dance students are at risk of mental health issues. Dance schools should pay special attention to stress, anxiety, and (constant) tiredness of their students. More research is needed to gain insight into specific characteristics and risk factors of mental health issues in dance students.
Although dance interventions may have lots of advantages in improving frailty, there are few papers focusing on the effects such interventions have on frail older adults living in the community setting. This study investigates whether a dance intervention can improve the level of frailty among Chinese older adults living in the community setting. The dance intervention was done five times a week for 16 weeks. Participants in the control group maintained their normal daily activities. Assessments were conducted at baseline, 8 weeks, and 16 weeks. Mixed models were used to test for the effects on frailty, depression, short physical performance battery, and grip strength between the groups over time. The level of frailty ( p < .05) and depression ( p < .001) decreased, and short physical performance battery ( p < .001) increased over time in the dance group compared with the control group. A dance intervention lasting 16 weeks showed improved frailty, depression, and physical performance among Chinese older adults living in the community setting.
Digital transformation has been recognized for its potential to contribute to sustainability goals. It requires companies to develop their Data Analytic Capability (DAC), defined as their ability to collect, manage and analyze data effectively. Despite the governmental efforts to promote digitalization, there seems to be a knowledge gap on how to proceed, with 37% of Dutch SMEs reporting a lack of knowledge, and 33% reporting a lack of support in developing DAC. Participants in the interviews that we organized preparing this proposal indicated a need for guidance on how to develop DAC within their organization given their unique context (e.g. age and experience of the workforce, presence of legacy systems, high daily workload, lack of knowledge of digitalization). While a lot of attention has been given to the technological aspects of DAC, the people, process, and organizational culture aspects are as important, requiring a comprehensive approach and thus a bundling of knowledge from different expertise. Therefore, the objective of this KIEM proposal is to identify organizational enablers and inhibitors of DAC through a series of interviews and case studies, and use these to formulate a preliminary roadmap to DAC. From a structure perspective, the objective of the KIEM proposal will be to explore and solidify the partnership between Breda University of Applied Sciences (BUas), Avans University of Applied Sciences (Avans), Logistics Community Brabant (LCB), van Berkel Logistics BV, Smink Group BV, and iValueImprovement BV. This partnership will be used to develop the preliminary roadmap and pre-test it using action methodology. The action research protocol and preliminary roadmap thereby developed in this KIEM project will form the basis for a subsequent RAAK proposal.
De maatschappelijke discussies over de invloed van AI op ons leven tieren welig. De terugkerende vraag is of AI-toepassingen – en dan vooral recommendersystemen – een dreiging of een redding zijn. De impact van het kiezen van een film voor vanavond, met behulp van Netflix' recommendersysteem, is nog beperkt. De impact van datingsites, navigatiesystemen en sociale media – allemaal systemen die met algoritmes informatie filteren of keuzes aanraden – is al groter. De impact van recommendersystemen in bijvoorbeeld de zorg, bij werving en selectie, fraudedetectie, en beoordelingen van hypotheekaanvragen is enorm, zowel op individueel als op maatschappelijk niveau. Het is daarom urgent dat juist recommendersystemen volgens de waarden van Responsible AI ontworpen worden: veilig, eerlijk, betrouwbaar, inclusief, transparant en controleerbaar.Om op een goede manier Responsible AI te ontwerpen moeten technische, contextuele én interactievraagstukken worden opgelost. Op het technische en maatschappelijke niveau is al veel vooruitgang geboekt, respectievelijk door onderzoek naar algoritmen die waarden als inclusiviteit in hun berekening meenemen, en door de ontwikkeling van wettelijke kaders. Over implementatie op interactieniveau bestaat daarentegen nog weinig concrete kennis. Bekend is dat gebruikers die interactiemogelijkheden hebben om een algoritme bij te sturen of aan te vullen, meer transparantie en betrouwbaarheid ervaren. Echter, slecht ontworpen interactiemogelijkheden, of een mismatch tussen interactie en context kosten juist tijd, veroorzaken mentale overbelasting, frustratie, en een gevoel van incompetentie. Ze verhullen eerder dan dat ze tot transparantie leiden.Het ontbreekt ontwerpers van interfaces (UX/UI designers) aan systematische concrete kennis over deze interactiemogelijkheden, hun toepasbaarheid, en de ethische grenzen. Dat beperkt hun mogelijkheid om op interactieniveau aan Responsible AI bij te dragen. Ze willen daarom graag een pattern library van interactiemogelijkheden, geannoteerd met onderzoek over de werking en inzetbaarheid. Dit bestaat nu niet en met dit project willen we een substantiële bijdrage leveren aan de ontwikkeling ervan.
The pace of technology advancements continues to accelerate, and impacts the nature of systems solutions along with significant effects on involved stakeholders and society. Design and engineering practices with tools and perspectives, need therefore to evolve in accordance to the developments that complex, sociotechnical innovation challenges pose. There is a need for engineers and designers that can utilize fitting methods and tools to fulfill the role of a changemaker. Recognized successful practices include interdisciplinary methods that allow for effective and better contextualized participatory design approaches. However, preliminary research identified challenges in understanding what makes a specific method effective and successfully contextualized in practice, and what key competences are needed for involved designers and engineers to understand and adopt these interdisciplinary methods. In this proposal, case study research is proposed with practitioners to gain insight into what are the key enabling factors for effective interdisciplinary participatory design methods and tools in the specific context of sociotechnical innovation. The involved companies are operating at the intersection between design, technology and societal impact, employing experts who can be considered changemakers, since they are in the lead of creative processes that bring together diverse groups of stakeholders in the process of sociotechnical innovation. A methodology will be developed to capture best practices and understand what makes the deployed methods effective. This methodology and a set of design guidelines for effective interdisciplinary participatory design will be delivered. In turn this will serve as a starting point for a larger design science research project, in which an educational toolkit for effective participatory design for socio-technical innovation will be designed.
