An ever-increasing number of diverse, real-life applications, ranging from mobile phone calls to social media and land, sea, and air surveillance systems, produce massive amounts of spatio-temporal data representing trajectories of moving objects. Trajectories, commonly represented by sequences of timestamps and position coordinates, thanks to the high availability of contextual and semantic-rich data can be enriched and are evolving to more comprehensive and semantically significant objects. In the MASTER project we envision holistic trajectories, meaning trajectories characterized by the fact that the spatio-temporal and semantic aspects are intimately correlated and should be considered as a whole. However current state of art does not provide management and analysis methods “ready for use” for these multiple aspects trajectories. The overarching objective of this project is to form an international and inter-sectoral network of partners working on a joint research programme by developing methods to build, manage and analyse multiple aspects trajectories. These methods are driven by application scenarios from three different domains: tourism, sea monitoring and public transportation.
Adolescents at risk and living in deprived areas have fewer opportunities for out of school activities, informal learning and reduced access to science education. In addition, teenagers seem to have, in general, a lack of interest in Science. Besides, research showed how the social determinants of health, and specifically, deprivation and lower access to health information, have major consequences in terms of chronic diseases. Scientific literacy can be promoted through enhancing health education: health research is well-valued in the society; topics are practical and relevant, and it is important to change unhealthy habits as early as possible; self-leadership and active methods would be key ingredients. There is a need for evidence and validation of effective interventions for fostering science education and public participation with teenagers and young adults from vulnerable and/or deprived populations to raise their academic outputs, while contributing to improve empowerment in health for this group. SEEDS aims at fostering science literacy and STEM education by raising the health understanding, also pursuing the empowerment of youth in critical thinking skills, self-management and self-care through community-based public engagement, therefore improving effectiveness of health promotion interventions in this population. The multi-stakeholder participatory intervention merges the dialogue between citizen science and traditional science. SEEDS joins together the key players in science and society by applying the 4Helix model of stakeholders. Teenagers lead the process; the scientific literacy will be accompanied by a depth health education able to transform their habits, contributing to sustainable behavioural change.
The principal aim of COHSMO is to investigate the relation between socio-economic structures of inequality, urbanization and territorial cohesion, and how territorial cohesion at different European scales affect economic growth, spatial justice and democratic capacities. The way that public, private and civil society stakeholders counter or cushion spatial injustice varies across localities in Europe. In common, is the need to develop the institutional capacities for place-based collaboration and democratically mobilize communities for policy development and adaption. Although location and place have gained attention in European policy and the theoretical thinking informing regional development policies, it is argued in COHSMO that we need to change our orientation in the direction of making place-informed theories and policies instead of applying existing theories and policies on places. This will be done by providing a cross-case analysis and assessment of territorial cohesion within three different cases in each of the seven national partner contexts based on a mixed-method and locality-sensitive approach. The fieldwork will focus firstly on the relation between policy instruments and local experiences of territorial cohesion, and secondly on how “social investment strategies” relate to territorial cohesion and local conditions. Moreover, the project engages in an assessment of spatial development policies at different governance scales to map the impact of different policy instruments in the fight against spatial inequality and spatial injustice. COHSMO is innovative in its differentiated approach to how location matters, and coupled with its conceptual advances COHSMO will develop groundbreaking policy recommendations in relation to sustainable economic growth, spatial justice and democratic capacity. Because they stem from location-sensitive and cross-contextual research, such recommendations will make it possible to develop the European Social Model.
In the Optical and WIreless sensors Networks for 6G scenarios (OWIN6G) project, key industry and academic stakeholders are brought together with the aim of developing a structured European training programme (TP) in optical technologies to facilitate disruptive wireless sensor applications within sixth-generation (6G) networks. OWIN6G will be the first Doctoral Network dedicated to training new generation of early-stage researchers (i.e., doctoral candidates, DCs) in the field of wireless sensor networks (WSNs) for the Internet of Things/Internet of Everything as part of the 6G and beyond focusing on novel sensors, solar-cells for energy harvesting and optical detection, and hybrid RF-optical wireless technologies, and the application of machine learning to improve adoption, optimization, and security aspects in sensor networks. OWIN6G will contribute significantly to the fundamental scientific understanding, technical know-hows and innovation of the future hybrid RF/optical WSN through the collaborative research involving ten individual DCs projects addressing specific challenges and applications. OWIN6G will make significant contributions to the fundamental scientific understanding, technical know-how and innovation of the future hybrid optical/RF sensor network. In addition to technical TP through PhD courses, dedicated tutorials and workshops organized by the Doctoral Network, DCs will be offered complementary non-technical training activities, including entrepreneurship, authoring scientific papers/patents, dissemination, etc. Having industrial partners participate will further enhance DC's technological progress by focusing on standardization, commercialization, and handling of real-world projects in a real-world environment.