scholarly journals Is Social Responsibility Present in the Agenda of the National Educational Policy Documentations? View from a DIALLS Projection

2020 ◽  
Vol 45 ◽  
pp. 10-29
Author(s):  
Lilija Duobliene ◽  
Sandra Kaire ◽  
Irena Zaleskiene

The article familiarizes the reader with the main goals and implementation structures of the DIALLS (Dialogue and Argumentation for Cultural Literacy Learning in Schools) three-year project (2018–2021), supported by EU Research and Innovation program HORIZON 2020. The project is coordinated by Cambridge University in partnership with 9 EU universities. In Lithuania project activities are implemented by the Institute of Educational Sciences at Vilnius University. The theoretical concept of Social Responsibility in the context of Cultural Literacy and Educating for an Active Citizenship is analysed in the theoretical part of the article. Some empirical data on addressing the concept of Social responsibility in the National Educational Policy documentation is presented and discussed from the view of DIALLS projection. Finally, some concluding points on addressing the concepts of Social responsibility, participation, cooperation and citizenship in the national educational policy documentation are drawn up.

Proceedings ◽  
2020 ◽  
Vol 65 (1) ◽  
pp. 14
Author(s):  
Laura Pérez ◽  
Juan Espeche ◽  
Tatiana Loureiro ◽  
Aleksandar Kavgić

DRIvE (Demand Response Integration Technologies) is a research and innovation project funded under the European Union’s Horizon 2020 Framework Program, whose main objective is unlocking the demand response potential in the distribution grid. DRIvE presented how the use of digital twins de-risks the implementation of demand response applications at the “Flexibility 2.0: Demand response and self-consumption based on the prosumer of Europe’s low carbon future” workshop within the conference “Sustainable Places 2020”. This workshop was organized to cluster and foster knowledge transfer between several EU projects, each developing innovative solutions within the field of demand response, energy flexibility, and optimized synergies between actors of the built environment and the power grid.


2021 ◽  
Author(s):  
Christos Katsavrias ◽  
Ioannis A. Daglis ◽  
Afroditi Nasi ◽  
Constantinos Papadimitriou ◽  
Marina Georgiou

<p>Radial diffusion has been established as one of the most important mechanisms contributing the acceleration and loss of relativistic electrons in the outer radiation belt. Over the past few years efforts have been devoted to provide empirical relationships of radial diffusion coefficients (D<sub>LL</sub>) for radiation belt simulations yet several studies have suggested that the difference between the various models can be orders of magnitude different at high levels of geomagnetic activity as the observed D<sub>LL</sub> have been shown to be highly event-specific. In the frame of SafeSpace project we have used 12 years (2009 – 2020) of multi-point magnetic and electric field measurements from THEMIS A, D and E satellites to create a database of calculated D<sub>LL</sub>. In this work we present the first statistics on the evolution of D<sub>LL </sub>during the various phases of Solar cycle 24 with respect to the various solar wind parameters and geomagnetic indices.</p><p>This work has received funding from the European Union's Horizon 2020 research and innovation programme “SafeSpace” under grant agreement No 870437.</p>


2021 ◽  
Vol 17 (1) ◽  
pp. 247-255
Author(s):  
Konstantinos CHARISI ◽  
Andreas TSIGOPOULOS ◽  
Spyridon KINTZIOS ◽  
Vassilis PAPATAXIARHIS

Abstract. The paper aims to introduce the ARESIBO project to a greater but targeted audience and outline its main scope and achievements. ARESIBO stands for “Augmented Reality Enriched Situation awareness for Border security”. In the recent years, border security has become one of the highest political priorities in EU and needs the support of every Member State. ARESIBO project is developed under HORIZON 2020 EC Research and Innovation program and it is the joint effort of 20 participant entities from 11 countries. Scientific excellence and technological innovation are top priorities as ARESIBO enhances the current state-of-the-art through technological breakthroughs in Mobile Augmented Reality and Wearables, Robust and Secure Telecommunications, Robots swarming technique and Planning of Context-Aware Autonomous Missions, and Artificial Intelligence (AI), in order to implement user-friendly tools for border and coast guards. The system aims to improve the cognitive capabilities and the perception of border guards through intuitive user interfaces that will help them acquire an improved situation awareness by filtering the huge amount of available information from multiple sources. Ultimately, it will help them respond faster and more effectively when a critical situation occurs.


2021 ◽  
Author(s):  
Ana M. Mancho ◽  
Guillermo García-Sánchez ◽  
Antonio G. Ramos ◽  
Josep Coca ◽  
Begoña Pérez-Gómez ◽  
...  

<p>This presentation discusses a downstream application from Copernicus Services, developed in the framework of the IMPRESSIVE project, for the monitoring of  the oil spill produced after the crash of the ferry “Volcan de Tamasite” in waters of the Canary Islands on the 21<sup>st</sup> of April 2017. The presentation summarizes the findings of [1] that describe a complete monitoring of the diesel fuel spill, well-documented by port authorities. Complementary information supplied by different sources enhances the description of the event. We discuss the performance of very high resolution hydrodynamic models in the area of the Port of Gran Canaria and their ability for describing the evolution of this event. Dynamical systems ideas support the comparison of different models performance. Very high resolution remote sensing products and in situ observation validate the description.</p><p>Authors acknowledge support from IMPRESSIVE a project funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 821922. SW acknowledges the support of ONR Grant No. N00014-01-1-0769</p><p><strong>References</strong></p><p>[1] G.García-Sánchez, A. M. Mancho, A. G. Ramos, J. Coca, B. Pérez-Gómez, E. Álvarez-Fanjul, M. G. Sotillo, M. García-León, V. J. García-Garrido, S. Wiggins. Very High Resolution Tools for the Monitoring and Assessment of Environmental Hazards in Coastal Areas.  Front. Mar. Sci. (2021) doi: 10.3389/fmars.2020.605804.</p>


2021 ◽  
Author(s):  
Stefanie Holzwarth ◽  
Martin Bachmann ◽  
Bringfried Pflug ◽  
Aimé Meygret ◽  
Caroline Bès ◽  
...  

<p>The objective of the H2020 project “Copernicus Cal/Val Solution (CCVS)” is to define a holistic Cal/Val strategy for all ongoing and upcoming Copernicus Sentinel missions. This includes an improved calibration of currently operational or planned Copernicus Sentinel sensors and the validation of Copernicus core products generated by the payload ground segments. CCVS will identify gaps and propose long-term solutions to address currently existing constraints in the Cal/Val domain and exploit existing synergies between the missions. An overview of existing calibration and validation sources and means is needed before starting the gap analysis. In this context, this survey is concerned with measurement capabilities for aerial campaigns.</p><p>Since decades airborne observations are an essential contribution to support Earth-System model development and space-based observing programs, both in the domains of Earth Observation (radar and optical) as well as for atmospheric research. The collection of airborne reference data can be directly related to satellite observations, since they are collected in ideal validation conditions using well calibrated reference sensors. Many of these sensors are also used to validate and characterize postlaunch instrument performance. The variety of available aircraft equipped with different instrumentations ranges from motorized gliders to jets acquiring data from different heights to the upper troposphere. In addition, balloons are also used as platforms, either small weather balloons with light payload (around 3 kg), or open stratospheric balloons with big payload (more than a ton). For some time now, UAVs/drones are also used in order to acquire data for Cal/Val purposes. They offer a higher flexibility compared to airplanes, plus covering a bigger area compared to in-situ measurements on ground. On the other hand, they also have limitations when it comes to the weight of instrumentation and maximum altitude level above ground. This reflects the wide range of possible aerial measurements supporting the Cal/Val activities.</p><p>The survey will identify the different airborne campaigns. The report will include the description of campaigns, their spatial distribution and extent, ownership and funding, data policy and availability and measurement frequency. Also, a list of common instrumentation, metrological traceability, availability of uncertainty evaluation and quality management will be discussed. The report additionally deals with future possibilities e.g., planned developments and emerging technologies in instrumentation for airborne and balloon based campaigns.</p><p>This presentation gives an overview of the preliminary survey results and puts them in context with the Cal/Val requirements of the different Copernicus Sentinel missions.</p><p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement No 101004242.</p>


2020 ◽  
Vol 89 (1) ◽  
pp. e419
Author(s):  
Janina Lulek ◽  
Emilia Jakubowska ◽  
Sharon Davin ◽  
Aleksandra Dumicic Dumicic ◽  
Grzegorz Garbacz ◽  
...  

Open Research Biopharmaceutical Internships Support (ORBIS) is an international, Horizon 2020 project funded by Maria Skłodowska-Curie Actions, Research and Innovation Staff Exchange (RISE) programme. Six academic institutions and four pharmaceutical companies from seven countries cooperate with the aim to improve the preclinical pathway of medicine development through increased Research and Development (R&D) productivity, especially focusing on processes and technologies which address the challenge of poor drug bioavailability. The RISE scheme supports secondments, meaning that early stage and experienced researchers are sent to consortium partner institutions to advance studies on pharmaceutical preformulation, dosage forms and drug delivery systems and methods of biopharmaceutical evaluation. The ORBIS project enables secondees to gain news skills and develop their competences in an international and intersectoral environment, strengthening the human capital and knowledge synergy in the European pharmaceutical R&D sector.


2021 ◽  
Author(s):  
Panagiotis Anagnostou ◽  
Sotiris Tasoulis ◽  
Aristidis G. Vrahatis ◽  
Spiros Georgakopoulos ◽  
Matthew Prina ◽  
...  

AbstractPreventive healthcare is a crucial pillar of health as it contributes to staying healthy and having immediate treatment when needed. Mining knowledge from longitudinal studies has the potential to significantly contribute to the improvement of preventive healthcare. Unfortunately, data originated from such studies are characterized by high complexity, huge volume and a plethora of missing values. Machine Learning, Data Mining and Data Imputation models are utilized as part of solving the aforementioned challenges, respectively. Towards this direction, we focus on the development of a complete methodology for the ATHLOS (Ageing Trajectories of Health: Longitudinal Opportunities and Synergies) Project - funded by the European Union’s Horizon 2020 Research and Innovation Program, which aims to achieve a better interpretation of the impact of aging on health. The inherent complexity of the provided dataset lie in the fact that the project includes 15 independent European and international longitudinal studies of aging. In this work, we particularly focus on the HealthStatus (HS) score, an index that estimates the human status of health, aiming to examine the effect of various data imputation models to the prediction power of classification and regression models. Our results are promising, indicating the critical importance of data imputation in enhancing preventive medicine’s crucial role.


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