The short-term aim of this R&D project (financed by the Centre of Expertise Creative Industries) is to develop a virtually simulated textile database that renders 3D visual representations of these fabrics. The idea is for this database to be open source and be able to interface with 3D design applications such as those of Lectra. The textile database will include a number of different digital datasets per textile that contain information about the fabric’s drape, weight, flexibility etc., to virtually render prototypes in a 3D simulated environment. As such, in building garments via a 3D software design application, designers will be able to see how a garment changes as new textiles are applied, and how textiles behave when constructed as different garments. This will take place on 3D avatars, which may be bespoke body scans, and will allow for coordinated and precise fitting and grading.
Feelings of disconnectedness and social isolation among older adults are increasingly recognised as important challenges of our times. Interestingly, nature interaction can stimulate social connectedness and enhance perceived social support, indicating that nature can contribute to social wellbeing. However, nature may not always be around or accessible for older adults. In such cases, digital nature could provide an alternative means for enjoying nature's benefits. To identify limitations and restrictions that older adults experience with respect to nature interaction, and to explore preferences with respect to digital nature and their potential for influencing social wellbeing, two studies are reported: a qualitative study comprising focus groups with Dutch care centre residents (N = 26) and a subsequent quantitative study (N = 200) testing effects of digital landscapes on social wellbeing measures. Findings from the focus groups indicate that opportunities for nature interaction and preferences for digital nature vary with mobility restrictions, whereas findings from the quantitative study testify to the potential of digital nature for enhancing social wellbeing and related emotions. These findings extend research on how (digital) nature interventions can contribute to the social wellbeing of older adults and pinpoint essential nature characteristics important for doing so.
This article describes the relation between mental health and academic performance during the start of college and how AI-enhanced chatbot interventions could prevent both study problems and mental health problems.
The projectThe overarching goal of DIGNITY, DIGital traNsport In and for socieTY, is to foster a sustainable, integrated and user-friendly digital travel eco-system that improves accessibility and social inclusion, along with the travel experience and daily life of all citizens. The project delves into the digital transport eco-system to grasp the full range of factors that might lead to disparities in the uptake of digitalised mobility solutions by different user groups in Europe. Analysing the digital transition from both a user and provider’s perspective, DIGNITY looks at the challenges brought about by digitalisation, to then design, test and validate the DIGNITY approach, a novel concept that seeks to become the ‘ABCs for a digital inclusive travel system’. The approach combines proven inclusive design methodologies with the principles of foresight analysis to examine how a structured involvement of all actors – local institutions, market players, interest groups and end users – can help bridge the digital gap by co-creating more inclusive mobility solutions and by formulating user-centred policy frameworks.The objectivesThe idea is to support public and private mobility providers in conceiving mainstream digital products or services that are accessible to and usable by as many people as possible, regardless of their income, social situation or age; and to help policy makers formulate long-term strategies that promote innovation in transport while responding to global social, demographic and economic changes, including the challenges of poverty and migration.The missionBy focusing on and involving end-users throughout the process of designing policies, products, or services, it is possible to reduce social exclusion while boosting new business models and social innovation. The end result that DIGNITY is aiming for is an innovative decision support tool that can help local and regional decision-makers formulate digitally inclusive policies and strategies, and digital providers design more inclusive products and services.The approachThe DIGNITY approach combines analysis with concrete actions to make digital mobility services inclusive over the long term. The approach connects users’ needs and requirements with the provision of mobility services, and at the same time connects those services to the institutional framework. It is a multi-phase process that first seeks to understand and bridge the digital gap, and then to test, evaluate and fine-tune the approach, so that it can be applied in other contexts even after the project’s end.Partners: ISINNOVA (Italy), Mobiel 21 (Belgium), Universitat Politechnica deCatalunya Spain), IZT (Germany), University of Cambridge (UK), Factualconsulting (Spain), Barcelona Regional Agencia (Spain), City of Tilburg(Netherlands), Nextbike (Germany), City of Ancona (Italy), MyCicero (Italy),Conerobus (Italy), Vlaams Gewest (Belgium)
Management policy for protected species is currently often based on literature reviews and expert judgement, even though it requires tailor-made species knowledge on a local level. While wildlife management should preferably be evidence based, tailor-made field data is seldom used in current practices, because it is hardly available, difficult to collect and expensive. Recent development of digital technology is changing the field of wildlife management with “more, better, faster and cheaper” ways of data collection. Especially automated collection of field data with different types of sensors is promising, whereas miniaturization and low cost mass-production increase availability and use of these sensors. For collection of field data about predator-prey interactions, there is a need to develop wireless sensor networks that automatically identify different species in a community, while they record their spatially explicit data and their behaviour. Therefore, we will put together a consortium of partners that will develop a EU LIFE programme proposal, with the focus to develop a sensor network necessary to automatically monitor multiple species (i.e., species communities) for species conservation management. The consortium will consist of Van Hall Larenstein, Sovon Dutch Centre for Field Ornithology, the Dutch Mammal Society, Sensing Clues and DIKW intelligence. It will bring together a strong mix of expert knowledge on applied species conservation and wildlife management, ecological field research, wildlife intelligence, and handling and analysis of big data. This project matches the Top sector High-tech Systems & Materials, and revolves around 4 distinct phases: selection of potential consortium partners, exploration of the problem, working towards a common action perspective and writing a EU LIFE programme proposal. We will use knowledge co-creation techniques to explore the first three project phases.
