Occupational stress can cause health problems, productivity loss or absenteeism. Resilience interventions that help employees positively adapt to adversity can help prevent the negative consequences of occupational stress. Due to advances in sensor technology and smartphone applications, relatively unobtrusive self-monitoring of resilience-related outcomes is possible. With models that can recognize intra-individual changes in these outcomes and relate them to causal factors within the employee's context, an automated resilience intervention that gives personalized, just-in-time feedback can be developed. This paper presents the conceptual framework and methods behind the WearMe project, which aims to develop such models. A cyclical conceptual framework based on existing theories of stress and resilience is presented as the basis for the WearMe project. The operationalization of the concepts and the daily measurement cycle are described, including the use of wearable sensor technology (e.g., sleep tracking and heart rate variability measurements) and Ecological Momentary Assessment (mobile app). Analyses target the development of within-subject (n=1) and between-subjects models and include repeated measures correlation, multilevel modelling, time series analysis and Bayesian network statistics. Future work will focus on further developing these models and eventually explore the effectiveness of the envisioned personalized resilience system.
This essay explores the notion of resilience by providing a theoretical context and subsequently linking it to the management of safety and security. The distinct worlds of international security, industrial safety and public security have distinct risks as well as distinct ‘core purposes and integrities’ as understood by resilience scholars. In dealing with risks one could argue there are three broad approaches: cost-benefit analysis, precaution and resilience. In order to distinguish the more recent approach of resilience, the idea of adaptation will be contrasted to mitigation. First, a general outline is provided of what resilience implies as a way to survive and thrive in the face of adversity. After that, a translation of resilience for the management of safety and security is described. LinkedIn: https://www.linkedin.com/in/juul-gooren-phd-cpp-a1180622/
BACKGROUND: Ageing is a process that is often accompanied by functional limitation, disabilities and losses. Instead of focusing on these negative events of ageing, there are opportunities in focusing on adaptation mechanisms, like resilience, that are helpful to cope with those adversities.DESIGN: Cross-sectional study.METHOD: The study was conducted from 2011-2012. First, a conceptual model of resilience during the ageing process was constructed. Next, items were formulated that made up a comprehensive template questionnaire reflecting the model. Finally, a cross-sectional study was performed to evaluate the construct validity and internal consistency of this template 16-item questionnaire.FINDINGS: Participants (N = 229) with a mean age of 71·5 years, completed the template 16-item Groningen Ageing Resilience Inventory, and performance based tests and psychological questionnaires. Exploratory factor analysis resulted in a two factor solution of internal and external resources of resilience. Three items did not discriminate well between the two factors and were deleted, remaining a final 13-item questionnaire that shows evidence of good internal consistency. The direction and magnitude of the correlations with other measures support the construct validity.CONCLUSION: The Groningen Ageing Resilience Inventory is a useful instrument that can help nurses, other healthcare workers, researchers and providers of informal care to identify the internal and external resources of resilience in individuals and groups. In a multidisciplinary biopsychosocial approach this knowledge provides tools for empowering older patients in performing health promoting behaviors and self-care tasks.
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The focus of this project is on improving the resilience of hospitality Small and Medium Enterprises (SMEs) by enabling them to take advantage of digitalization tools and data analytics in particular. Hospitality SMEs play an important role in their local community but are vulnerable to shifts in demand. Due to a lack of resources (time, finance, and sometimes knowledge), they do not have sufficient access to data analytics tools that are typically available to larger organizations. The purpose of this project is therefore to develop a prototype infrastructure or ecosystem showcasing how Dutch hospitality SMEs can develop their data analytic capability in such a way that they increase their resilience to shifts in demand. The one year exploration period will be used to assess the feasibility of such an infrastructure and will address technological aspects (e.g. kind of technological platform), process aspects (e.g. prerequisites for collaboration such as confidentiality and safety of data), knowledge aspects (e.g. what knowledge of data analytics do SMEs need and through what medium), and organizational aspects (what kind of cooperation form is necessary and how should it be financed).
Het kabinet heeft 25 missies geformuleerd om maatschappelijke uitdagingen aan te pakken. Deze missies richten zich op gezondere levensjaren, voldoende schoon water en veilig voedsel, minder uitstoot van broeikasgassen, betaalbare duurzame energie en een veilig Nederland om in te wonen en te werken. Ambitieuze doelen moeten ondernemers en onderzoekers uitdagen tot baanbrekende oplossingen en bijdragen aan de concurrentiekracht van Nederland. Voor een klimaatbestendig, waterrobuust, duurzaam, gezond en veilig Nederland zijn zowel grote als kleine oplossingen nodig. De missies openen deuren voor nieuwe startups, mkb’ers, consortia van maatschappelijke organisaties en samenwerkingsverbanden met burgers. Het realiseren van deze missies vraagt ook om samenwerking over grenzen van topsectoren en landen heen. De Hogescholen voor Groen Onderwijs: Aeres, HAS, Inholland en Hogeschool Van Hall Larenstein werken samen in het Center of Expertise Groen om met voldoende focus en massa bijdragen te leveren aan maatschappelijke opgaven waarvoor de groene sectoren staan. Deze opgaven zijn vertaald naar meerjarige missies in de Kennis en Innovatie Agenda (KIA) voor het groene domein. Binnen de Missie Landbouw, Water en Voedsel wordt gewerkt aan noodzakelijke transities, die tevens een grote verwevenheid kennen met andere maatschappelijke sectoren. Samen met partners uit het groene domein alsook uit de publieke- en private sectoren, realiseert het CoE Groen een krachtige onderzoeksgroep die op maatschappelijk relevante thema’s nieuwe kennis ontwikkelt die daadwerkelijk van betekenis is. De onderzoeksgroep richt zich de eerstkomende jaren op 7 thema’s: (1) Veerkracht (resilience) van natuurlijke bronnen (2) Herontwerp (redesign) agrifood productiesystemen (3) Vitaliteit in stad en leefomgeving (4) Gezond voedsel met meerwaarde (5) Digitalisering en High tech (6) Nieuwe businessmodellen (7) Governance. Voor de SPRONG naar een krachtige onderzoeksgroep wordt ingezet op het vergroten van zichtbaarheid, het opleiden en verbinden van onderzoekslijnen, (regionale) netwerkontwikkeling, het verbeteren van kwaliteit van onderzoek en het realiseren van maatschappelijke impact.
The Dutch main water systems face pressing environmental, economic and societal challenges due to climatic changes and increased human pressure. There is a growing awareness that nature-based solutions (NBS) provide cost-effective solutions that simultaneously provide environmental, social and economic benefits and help building resilience. In spite of being carefully designed and tested, many projects tend to fail along the way or never get implemented in the first place, wasting resources and undermining trust and confidence of practitioners in NBS. Why do so many projects lose momentum even after a proof of concept is delivered? Usually, failure can be attributed to a combination of eroding political will, societal opposition and economic uncertainties. While ecological and geological processes are often well understood, there is almost no understanding around societal and economic processes related to NBS. Therefore, there is an urgent need to carefully evaluate the societal, economic, and ecological impacts and to identify design principles fostering societal support and economic viability of NBS. We address these critical knowledge gaps in this research proposal, using the largest river restoration project of the Netherlands, the Border Meuse (Grensmaas), as a Living Lab. With a transdisciplinary consortium, stakeholders have a key role a recipient and provider of information, where the broader public is involved through citizen science. Our research is scientifically innovative by using mixed methods, combining novel qualitative methods (e.g. continuous participatory narrative inquiry) and quantitative methods (e.g. economic choice experiments to elicit tradeoffs and risk preferences, agent-based modeling). The ultimate aim is to create an integral learning environment (workbench) as a decision support tool for NBS. The workbench gathers data, prepares and verifies data sets, to help stakeholders (companies, government agencies, NGOs) to quantify impacts and visualize tradeoffs of decisions regarding NBS.