The workforce in the EU is ageing, and this requires investment in older workers so that the organisations in which they work remain competitive and viable. One such investment takes the form of organising and facilitating intergenerational learning: learning between and among generations that can lead to lifelong learning, innovation and organisational development. However, successfully implementing intergenerational learning is complex and depends on various factors at different levels within the organisation. This multidisciplinary literature review encompasses work from the fields of cognitive psychology, occupational health, educational science, human resource development and organisational science and results in a framework that organisations can use to understand how they can create the conditions needed to ensure that the potential of their ageing workforce is tapped effectively and efficiently. Although not a comprehensive review, this chapter serves as a basis for further empirical research and gives practitioners an insight into solving a growing problem.
Motor learning is particularly challenging in neurological rehabilitation: patients who suffer from neurological diseases experience both physical limitations and difficulties of cognition and communication that affect and/or complicate the motor learning process. Therapists (e.g.,, physiotherapists and occupational therapists) who work in neurorehabilitation are therefore continuously searching for the best way to facilitate patients during these intensive learning processes. To support therapists in the application of motor learning, a framework was developed, integrating knowledge from the literature and the opinions and experiences of international experts. This article presents the framework, illustrated by cases from daily practice. The framework may assist therapists working in neurorehabilitation in making choices, implementing motor learning in routine practice, and supporting communication of knowledge and experiences about motor learning with colleagues and students. The article discusses the framework and offers suggestions and conditions given for its use in daily practice.
The in-depth assessment of the situation of the European textile and clothing sector is composed by six independent reports with a close focus on key aspects useful to understand the dynamics and the development of the textile and clothing industry, drivers of change – most notably the impact of the financial crisis – and identification of policy responses and best practices. This has been done in six specific tasks leading to the six reports: Task 1 Survey on the situation of the EU textile and clothing sector Task 2 Report on research and development Task 3 Report on SME situation Task 4 Report on restructuring Task 5 Report on training and Education Task 6 Report on innovation practices The overall objective of the study in Task 3 is the “assessment of main difficulties faced by T/C SMEs in 5 regions of the EU and prospects to overcome these difficulties”. - to assess the general problems that SMEs are pre-facing because of “all-encompassing” phenomena such as globalization and the financial/economic crisis (2008-2010). This part of the study shall highlight the general context that all SMEs have to cope wit - to identify paradigmatic situations or cases (in terms of regions/clusters and SMEs) that, for their clarity, or special conditions, may highlight new developments and/or unprecedented business conditions for SMEs. This part will provide inputs for designing support initiatives targeting specific problems in order to understand how SMEs: - see the competitive context - overcome constraints - reposition the firm by learning or (dis)investing - are hampered in their change by institutional factors.
MULTIFILE
Traffic accidents are a severe public health problem worldwide, accounting for approximately 1.35 million deaths annually. Besides the loss of life, the social costs (accidents, congestion, and environmental damage) are significant. In the Netherlands, in 2018, these social costs were approximately € 28 billion, in which traffic accidents alone accounted for € 17 billion. Experts believe that Automated Driving Systems (ADS) can significantly reduce these traffic fatalities and injuries. For this reason, the European Union mandates several ADS in new vehicles from 2022 onwards. However, the utility of ADS still proves to present difficulties, and their acceptance among drivers is generally low. As of now, ADS only supports drivers within their pre-defined safety and comfort margins without considering individual drivers’ preferences, limiting ADS in behaving and interacting naturally with drivers and other road users. Thereby, drivers are susceptible to distraction (when out-of-the-loop), cannot monitor the traffic environment nor supervise the ADS adequately. These aspects induce the gap between drivers and ADS, raising doubts about ADS’ usefulness among drivers and, subsequently, affecting ADS acceptance and usage by drivers. To resolve this issue, the HUBRIS Phase-2 consortium of expert academic and industry partners aims at developing a self-learning high-level control system, namely, Human Counterpart, to bridge the gap between drivers and ADS. The central research question of this research is: How to develop and demonstrate a human counterpart system that can enable socially responsible human-like behaviour for automated driving systems? HUBRIS Phase-2 will result in the development of the human counterpart system to improve the trust and acceptance of drivers regarding ADS. In this RAAK-PRO project, the development of this system is validated in two use-cases: I. Highway: non-professional drivers; II. Distribution Centre: professional drivers.
Traffic accidents are a severe public health problem worldwide, accounting for approximately 1.35 million deaths annually. Besides the loss of life, the social costs (accidents, congestion, and environmental damage) are significant. In the Netherlands, in 2018, these social costs were approximately € 28 billion, in which traffic accidents alone accounted for € 17 billion. Experts believe that Automated Driving Systems (ADS) can significantly reduce these traffic fatalities and injuries. For this reason, the European Union mandates several ADS in new vehicles from 2022 onwards. However, the utility of ADS still proves to present difficulties, and their acceptance among drivers is generally low.As of now, ADS only supports drivers within their pre-defined safety and comfort margins without considering individual drivers’ preferences, limiting ADS in behaving and interacting naturally with drivers and other road users. Thereby, drivers are susceptible to distraction (when out-of-the-loop), cannot monitor the traffic environment nor supervise the ADS adequately. These aspects induce the gap between drivers and ADS, raising doubts about ADS’ usefulness among drivers and, subsequently, affecting ADS acceptance and usage by drivers.To resolve this issue, the HUBRIS Phase-2 consortium of expert academic and industry partners aims at developing a self-learning high-level control system, namely, Human Counterpart, to bridge the gap between drivers and ADS. The central research question of this research is:How to develop and demonstrate a human counterpart system that can enable socially responsible human-like behaviour for automated driving systems?HUBRIS Phase-2 will result in the development of the human counterpart system to improve the trust and acceptance of drivers regarding ADS. In this RAAK-PRO project, the development of this system is validated in two use-cases:I. Highway: non-professional drivers;II. Distribution Centre: professional drivers.Collaborative partners:Bielefeld University of Applied Sciences, Bricklog B.V., Goudappel B.V., HaskoningDHV Nederland B.V., Rhine-Waal University of Applied Sciences, Rijkswaterstaat, Saxion, Sencure B.V., Siemens Industry Software Netherlands B.V., Smits Opleidingen B.V., Stichting Innovatiecentrum Verkeer en Logistiek, TNO Den Haag, TU Delft, University of Twente, V-Tron B.V., XL Businesspark Twente.
It is VHL’s mission to train high-quality, committed and innovative professionals who con-tribute to a more sustainable world , and who are able to organize and manage multi-stakeholder processes for sustainable change: graduates with transdisciplinary competences. Secondly, VHL aims to contribute to the SDG-agenda by linking its education and applied research to eight particular SDGs of which Resilient Communities is one. However, to operationalize SDGs in practice, and aligning targets and strategies of different stakeholders is difficult: ‘resilience’ and ‘sustainability’ refer to ‘wicked problems’ for which no definitive problem formulation, nor clear-cut solutions exist. Addressing wicked problems like ‘resilience’ and ‘sustainability’ requires transdisciplinary collaboration to manage and transform divergent values and conflicting interests, and to co-create sustainable innovations. This HBO postdoc views the 17 SDGs as a compass to align targets and strategies of citizens, government, civil society organizations, private sector and knowledge institutes who collaborate in Living Labs of VHL focusing on resilient communities/regions. Through spiraling action-reflection cycles, stakeholders will use the SDG compass to make success mechanisms, obstacles and trade-offs visible, assuming they stay engaged to overcome difficulties to improve interventions and innovations; this is expected to result in adapted sustainability practices and lessons learned on reaching community resilience. The postdoc’s aim is two-fold highlighting the link between research and education: (1) Design a methodology to integrate SDGs effectively in VHL’s applied research: using the SDGs as compass to improve performance and outcomes of transdisciplinary collaborations. (2) Develop a Roadmap for transdisciplinary education at course, curriculum, and institutional level with SDGs as compass. Future graduates require the competence to work together with others outside one own’s discipline, institute, culture or context. Living Labs offer a suitable learning environment to develop this competence