PathOS aims to identify and quantify the Key Impact Pathways of Open Science relating to the research system and its interrelations with economic and societal actors. Through actions to synthesise and structure current evidence, development of new methods and tools for measuring impact, iterative pilot-testing via in-depth case studies, innovative dissemination and networking, and co-creation synthesis activities to create policy recommendations, PathOS will enable a new understanding of OS impacts and their causal mechanisms. This is pivotal in order to develop effective OS policy in the EU. It will do so by collecting concrete evidence of the causal effects of OS by studying the pathways of OS practices, from input to output, outcome and impact, including the consideration of enabling factors and key barriers. Impacts and pathways will be developed in particular in the three areas of science, society and economy. By investigating, measuring and comparing its costs and benefits together with its pathways, PathOS will (i) bring a better understanding for the implications of open science for science, economy and society, (ii) provide recommendations to policy makers and other actors in the R&I ecosystem as to how and to what extent open science should be promoted in a balanced way, and (iii) develop tools and methods for studying the causal effects of open science. This will enable evidence-based Open Science policy prioritisation, maximum OS impact, and increased R&I capacity in EU research systems.

Extreme XP

EXPerimentation driven and user eXPerience oriented analytics for eXtremely Precise outcomes and decisions
Extreme data characteristics (volume, speed, heterogeneity, distribution, diverse quality, etc.) challenge the state-of-the-art data-driven analytics and decision-making approaches in many critical domains such as crisis management, predictive maintenance, mobility, public safety, and cyber-security. At the same time, data-driven insights need to be extremely timely, accurate, precise, fit for purpose, and trustworthy, so that they can be useful. ExtremeXP will handle the complexity of matching extreme needs with complex analytics processes (i.e., processes that involve and combine ML, data analysis, simulation, and visualization components) by placing the end user at the centre of complex analytics processes and relying on user intents and running experiments (i.e., trial and error) to prune the vast solution space of possible analytics workflows and configurations i.e., “variants”. Its main goal is to create a next generation decision support system that integrates novel research results from the domains of data integration, machine learning, visual analytics, explainable AI, decentralised trust, knowledge engineering, and model-driven engineering into a common framework. The overarching idea of the framework is to optimise the properties of a complex analytics process that the end user cares about (e.g., accuracy, time-to-answer, specificity, recall, precision, resource consumption) by associating user profiles to computation variants. The framework is envisioned as modular and extensible, orchestrating different services around an Experimentation Engine: Analysis-aware Data Integration, Extreme Data & Knowledge Management, User-driven AutoML, Transparent & Interactive Decision Making, and User-driven Optimization of Complex Analytics. The framework will be validated in five pilot demonstrators.
Status
Active
Type
European
Partners
  • ACTIVEEON - AE
  • AIRBUS DS SLC- ADS
  • ACADEMISCH MEDISCH CENTRUM BIJ DE UNIVERSITEIT VAN AMSTERDAM - AMC
  • BITSPARKLES- BS
  • CS GROUP-FRANCE- CS
  • Charles University of Prague - CUNI
  • DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH - DFKI
  • FUNDACIO PRIVADA I2CAT, INTERNET I INNOVACIO DIGITAL A CATALUNYA - I2CAT
  • EREVNITIKO PANEPISTILIAKO INSTITOUTO SYSTIMATION EPIKOINONIAS KAI YPOLOGISTON-EMP -ICCS
  • IDEKO S COOP- IDK
  • INTERACTIVE 4D- I4D
  • INTRACOM SA TELECOM SOLUTIONS - ICOM
  • MOBY X SOFTWARE LIMITED- MOBY
  • SINTEF AS - SIN
  • TECHNISCHE UNIVERSITEIT DELFT- TUD
  • UNIVERSITY OF LJUBLJANA - UL
  • UNIVERSITAT POLITECNICA DE CATALUNYA – UPC
  • STICHTING VU – VUA
  • Associated  Partner: BOURNEMOUTH UNIVERSITY - BU
Our project is developing a novel service, enhancing first responders’ abilities in crisis events involving wildfires in urban spaces by providing continuous access to an Extended Reality environment, accessible via AR/MR/VR, as a digital representation of the information available in the physical world. HERMES is an autonomous system offering real time accident and human detection capabilities, across distances of 100,000 m2 by leveraging UAV surveillance, 5G networks and Cloud-Edge infrastructures. The UAS gathers RGB and thermal data, distributes it to a novel ground node that creates RTMP files provided to a Cloud server which processes the captured data using SOT computer vision algorithms to detect fire, humans, or suspicious mechanisms and send warnings to first responders. This is promptly sent as an alert to the relevant authority, enabling a quick and appropriate response beyond the current SOP.
Status
Active
Type
European

De-Sign

De-Sign: Raising Awareness for Dementia in Deaf Older Adults in Europe

The scope of the project is the creation of an early detection tool for dementia in deaf populations, which will be provided through an online platform, to support its remote administration. The tool will result in the adaptation and weighting of the already existing BSL-CST protocol/tool in additional sign languages (Austrian – OGS and Greek – GSL). The platform will be flexible (tests can be added, removed or modified) and extensible in other languages. At the same time, the aim of the project is to train caregivers, family members, relatives, friends of the deaf of the platform, in the administration of the tool, in the data entry and in the utilization of the results in the context of adult e-education and through tailored and specialized seminars by experts.

DataTools4Heart

DataTools4Heart: A European Health Data Toolbox for Enhancing Cardiology Data Interoperability, Reusability and Privacy

Cardiovascular disease (CVD) remains the main cause of mortality worldwide, accounting for about a third of annual deaths. Re-use of both structured and unstructured data has the potential for major health benefits for the population suffering from CVD.

Healthcare data re-use in Europe faces privacy and fragmentation issues, a high diversity in data formats and languages, and a lack of technical and clinical interoperability. DataTools4Heart (DT4H) will tackle such challenges and develop a comprehensive, federated, privacy-preserving cardiology data toolbox. This will include, in an integrated platform, standardised data ingestion and harmonisation tools providing a common data model, multilingual natural language processing, federated machine learning, differentially private data synthesis generation, and 7 language models adapted to the cardiology domain. DT4H virtual assistants will help scientists and clinicians navigate through large-scale multi-source cardiology data.

These tools will be:

  • implemented ensuring privacy-by-design and thorough compliance with European regulations and data standards;
  • optimised as based on multi-stakeholder user-centered requirements; and,
  • validated in 7 clinical sites across Europe.

DT4H will unlock currently inaccessible health data in unstructured data and allow multi-site federated data use. Together with its toolbox, DT4H will leave the legacy of a federated learning platform with an embedded metadata catalogue and AI virtual assistants, and the CardioSynth open database of synthetic data remaining as available for further research and AI experimentation. Effective use of the federated learning platform will improve enable improved AI diagnostic and treatment tools. Deployment of regulated solutions will extend existing healthcare management paradigms to reduce disease burden. Finally, DT4H tools, systems and methodology are highly generalised and will translate well to other clinical and research areas in medicine.

Cybercartographies: Developing Powerful Multimodal Geovisualization Instruments for Understanding & Communicating Geospatial Data

Maps are not just lines, points, and symbols assembled as pictures. Maps constitute one of the most powerful cognitive vehicles to explore and describe the world, but also to express ourselves metaphorically.

The “We love maps” International Map Year 2015-2016 celebrated by the International Cartographic Association, came at a time when we are more “map-minded” than ever before. The world of ubiquitous computing and “digital natives” is now full of enthusiastic “cartographers”. The way people, especially the youngest, interact with technology, the shift from the “god’s eye view” to any perspective in viewing space, the increase of crowdsourced geospatial data, and the necessity of employing cartographic means to make sense out of big data, have introduced the need to shift the paradigm of cartography and geovisualization to cybercartography. This, amongst others, involves the development of an innovative cartographic language, new visual variables, multisensory representations, multimodal interaction, and tools that help enhance spatial thinking skills and develop truly map-minded spatial citizens.

The project addresses these research needs and meets its objectives in 5 steps:

  1. evaluation of state-of-the-art cartographic cyber manifestations, online mapping tools, and ubiquitous geosystems and services,
  2. analysis on how and if digital technologies and geoservices foster spatial thinking,
  3. analysis of multi-sensory representations and suitable multimodal interfaces,
  4. implementation of new-generation cyber cartographic products, and
  5. development of theoretical and design principles for cyber maps and other visualizations as breakthrough contribution to cartography regenerated.

Τhe project is coordinated by the National Technical University of Athens (NTUA). ILSP contributes to the NTUA team its expertise for connecting Cartography with Embodied, Multimodal Interaction.

VOICES

VOICES: Making Early Career Investigators’ Voices Heard for Gender Equality

Over the last decades, European higher education and research systems have been characterized by deep changes, due to globalization and marketization, that have dramatically transformed research careers. While doctoral and postdoctoral researchers constitute a fast-growing workforce, their working conditions have become increasingly precarious and their career prospects uncertain. Those processes tend to exacerbate and create new forms of gendered inequalities for Early Career Investigators (ECIs), first and foremost women – that have been magnified by the COVID-19 crisis. Those inequalities are also reinforced by disparities within academia linked to other social determinants, such as origin, socioeconomic status, sexuality or ability. However, current institutional Research & Innovation (R&I) policies, including gender equality policies, rarely consider ECIs’ specific challenges. Moreover, implementing efficient and impactful policies that promote sustainable gender equality remains a great challenge throughout R&I institutions. The main goal of this Action is thus to increase the visibility of inequalities faced by ECIs from a gender perspective and to promote a sustainable dialogue between ECIs and stakeholders in the research ecosystem at the systemic level (European & national policy-makers) and at the institutional level (senior researchers, academic managers) by creating a community of gender equality practitioners composed of various stakeholders (ECIs, independent researchers, academic managers, organizations) across Europe. The Action has among its outcomes: training schools for ECIs, scientific publications by ECIs, recommendations & guidelines for academics and policy-makers.

Chair of the Action, which comprises representatives from more than 30 countries across Europe, is Ecole Normale Supérieure (ENS) – Paris, Sciences et Lettres (PSL) and vice-chair is the University of Padua.  ILSP/ATHENA R.C. is a member of the Management Committee of the Action, representing Greece and contributes to core work packages.

Status
Active
Type
European

PREMIERE

Performing arts in a new era: AI and VR tools for better understanding, preservation, enjoyment and accessibility

Captivating audiences around the world, the performing arts are hailed as a platform for creativity and expression. With a focus on dance and theatre, the EU-funded PREMIERE project aims to modernise the field by using advanced digital technologies that will support the whole life-cycle of performances. Project work will lead to the development and validation of a comprehensive ecosystem of digital applications, powered by leading-edge artificial intelligence, extended reality and 3D technologies, to meet the needs of communities involved in the main stages of the life cycle of performing arts productions. Ultimately, project work will enhance the understanding, preservation and enjoyment of and accessibility to performing arts.

Today we live in a data-driven era with the inevitable emergence of interdisciplinary, geographically dispersed, data repositories that do not necessarily abide with existing interdisciplinary data representation standards, nor they belong to any data federation initiatives, rendering them unusable and difficult to access. Moreover, maintaining integrity, privacy, and security in such exchanges is typically extremely difficult or impossible. Foundation for Research and Technology - Hellas (FORTH) and the Hellenic Mediterranean University (HMU) joined forces with several other European partners under “TRUSTEE”, one of the projects that was recently funded under the "Horizon Europe" Framework Programme for Research and Innovation (2021-2027) of the European Commission. TRUSTEE aims to deliver a green, open-source, scalable, efficient, secure, trustworthy, and privacy-aware framework that will aggregate various interdisciplinary data repositories, such as Healthcare, Education, Energy, Space, Automotive, Cross-border, etc., and EU federation data spaces and transnational initiatives (e.g., Gaia-X and EOSC) with three main pillars of innovation: • Foster collaboration, between data consumers and suppliers who until now used to work in silos. • Build Trusted Data solutions, by reflecting the trustworthiness of data through the use of quality indicators, such as endorsements and deprecations. • Automate Testing and Monitoring, of not only the infrastructure but also the health and age (validity/update) of the data itself, while keeping every stakeholder informed about changes in a distributed manner.
Status
Active
Type
European

The ELE project empirically confirmed a striking imbalance in terms of support through language technologies and prepared a strategic research, innovation and implementation agenda with a roadmap for achieving full digital language equality in Europe by 2030. The primary goal of ELE 2 is to continue the preparation and refinement of the strategic agenda and roadmap for achieving digital language equality, to document stakeholder commitment, and to include new sectors and domains in the overall consultation process. Using the financial support to third parties mechanism (FSTP), ELE 2 will engage with other stakeholders, supporting the development of novel contributions for the SRIA including defined use cases, best-practice examples, feasibility studies, cost estimates etc.

Ensuring appropriate technology support for all EU languages will create jobs, growth and opportunities in the digital single market. Equally crucial, overcoming language barriers in the digital environment is essential for an inclusive society and for providing unity in diversity for many years to come. ELE 2 continues the work in ELE in providing a roadmap and overall framework to achieve this ambitious goal.

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