In elite sports, a case is increasingly made for the structural inclusion of what we label as planned disruptions. These are structured and deliberate training activities whereby athletes are exposed to increased and/or changing demands under controlled circumstances. Despite the growing body of evidence in support of planned disruptions (Sarkar & Fletcher, 2017), there is a lack of knowledge on which strategies coaches use in an applied context and why they use them. The present study, therefore, aimed at exploring the different types of planned disruptions high-performance coaches use and the desired outcomes of these disruptions. To this end, thematic analysis (Braun, Clarke, & Weate, 2016) was used to analyze semistructured interviews with 9 talent development and elite-level coaches (M age = 42.9, SD = 8.3; 6 male, 3 female). Results indicated that coaches use a combination of 9 types of planned disruptions (i.e., location, competition simulation, punishments and rewards, physical strain, stronger competition, distractions, unfairness, restrictions, and outside the box). These strategies were used to familiarize athletes to pressure, create awareness, develop or refine personal resources, and promote team processes. Three additional themes emerged, namely, the surprise use of planned disruptions, periodization, and the impact on personal relationships. The findings in the present study can guide further applied and theoretical explorations of the use of planned disruptions.
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In recent years, both scientists and the general population gained awareness of the deep entanglement between finances, health, and well-being. People cannot be reduced to a set of problems to be tackled independently, thinking that somehow these solutions add up to solve the problem as a whole.4 Researchers pay increasing attention to how problems are related, and many lessons have been learned over time. Policy-makers and practitioners who understand the complex relationship between financial, physical, and mental well-being find themselves in the unique position to use these insights in how they design their programs. This paper provides an overview of academic and grey literature and the lessons we can learn from these studies.
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It is argued that both continuous improvement and growth in one direction, are (sometimes partly) based on the illusion of control. It is precisely through our actions, by exerting as much control as possible over both natural and artificial processes, that we make things worse, often despite our good intentions. While the illusion of control makes us feel content with our lives, it does not contribute to a sustainable world in the long term. To believe in ones continuous improvement is to drastically overestimate ones own control, without considering the possibility of being wrong. Taking the hypothesis for granted in advance, hoping to arrive at a sustainable synthesis by chance, is like throwing stones at random to create Big Ben by chance. The casino might be more rational.
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The postdoc candidate, Sondos Saad, will strengthen connections between research groups Asset Management(AM), Data Science(DS) and Civil Engineering bachelor programme(CE) of HZ. The proposed research aims at deepening the knowledge about the complex multidisciplinary performance deterioration prediction of turbomachinery to optimize cleaning costs, decrease failure risk and promote the efficient use of water &energy resources. It targets the key challenges faced by industries, oil &gas refineries, utility companies in the adoption of circular maintenance. The study of AM is already part of CE curriculum, but the ambition of this postdoc is that also AM principles are applied and visible. Therefore, from the first year of the programme, the postdoc will develop an AM material science line and will facilitate applied research experiences for students, in collaboration with engineering companies, operation &maintenance contractors and governmental bodies. Consequently, a new generation of efficient sustainability sensitive civil engineers could be trained, as the labour market requires. The subject is broad and relevant for the future of our built environment being more sustainable with less CO2 footprint, with possible connections with other fields of study, such as Engineering, Economics &Chemistry. The project is also strongly contributing to the goals of the National Science Agenda(NWA), in themes of “Circulaire economie en grondstoffenefficiëntie”,”Meten en detecteren: altijd, alles en overall” &”Smart Industry”. The final products will be a framework for data-driven AM to determine and quantify key parameters of degradation in performance for predictive AM strategies, for the application as a diagnostic decision-support toolbox for optimizing cleaning &maintenance; a portfolio of applications &examples; and a new continuous learning line about AM within CE curriculum. The postdoc will be mentored and supervised by the Lector of AM research group and by the study programme coordinator(SPC). The personnel policy and job function series of HZ facilitates the development opportunity.
