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Cos4Cloud

COS4CLOUD (Co-designed citizen observatories for the EOS-Cloud) aims to design prototyped and implemented services that address the Open Science challenges shared by Citizen observatories of biodiversity, based on the experience of platforms like: Artportalen, Natusfera, iSpot, as well as other environmental quality monitoring platforms like: FreshWater Watch, KdUINO, OdourCollect, iSpex and CanAir.io.

The innovative services will be designed, prototyped and implemented for improving the data and information quality using deep machine learning, automatic video recognition, advanced mobile app interfaces, and other cutting-edge technologies, based on data models and data protocols validated by traditional science. The new services will provide mechanisms to ensure the visibility and recognition of data contributors and the tools to improve networking between various stakeholders. Novel innovative digital services will be developed through the integration of CS products, generated by different providers, following open standards to ensure their interoperability, and offered in agile, fit-for-purpose and sustainable site available through EOSC hub, including a discovery service, to both traditional and citizen scientists.

The design of new services will be user oriented, engaging a wide range of stakeholders in society, government, industry, academia, agencies, and research to co-design service requirements. As a result, COS4CLOUD will integrate citizen science in the European Open Science Cloud, bringing Citizen Science (CS) projects as a service for the scientific community and society at large.

https://cos4cloud-eosc.eu/

Efficient QCD+QED Simulations with openQ*D software

This project will speed-up the generation of gauge configurations in the simultaneous simulations of quantum electrodynamics (QED, quantum field theory of electromagnetism) and quantum Chromodynamics (QCD, theory of strong interaction) with the open-source openQ*D-1.0 code [2], which will later be used to explore a variety of observables relevant for new physics searches us- ing the European pre-Exascale supercomputers, such as Large Unified Modern Infrastructure (LUMI) in Kajaani, Finland and the next generation CSCS systems. The aimed acceleration will be achieved by optimizing relevant modules of the openQ*D-1.0 code for GPU-accelerated supercomputing platforms, with a particular focus on enabling support for GPUs (and potentially FPGAs) from various vendors.

Duration:

01/07/2021 → 30/06/2024

Researchers: 

Isabel Campos (IFCA-CSIC, Spain), Marina Krstić Marinkovic (ETH Zurich, Swizertland),  Michele Della Morte (CP3-Origins, Denmark)  and Piotr Korcyl (U. Krakow, Poland).

EGI-ACE


EGI-ACE is a project coordinated by the EGI Foundation with a mission to empower researchers from all disciplines to collaborate in data- and compute-intensive research through free-at-point-of-use services.

Building on the distributed computing integration in the EOSC-hub project, EGI-ACE will deliver the EOSC Compute Platform and will contribute to the EOSC Data Commons through a federation of cloud compute and storage facilities, PaaS services and data spaces with analytics tools and federated access services.

The consortium of the project builds on the expertise and assets of the EGI federation members, key research communities, data providers and collaborating initiatives.

EGI-ACE’s main goal is to implement the compute platform of the European Open Science Cloud and contribute to the EOSC Data Commons by delivering integrated computing platforms, data spaces and tools as an integrated solution that is aligned with major European cloud federation projects and HPC initiatives.


https://www.egi.eu/projects/egi-ace/

EOSC Future

EOSC Future responds to INFRAEOSC-03-2020 call in order to integrate, consolidate, and connect e-infrastructures, research communities, and initiatives in Open Science to further develop the EOSC Portal, EOSC-Core and EOSC-Exchange of the European Open Science Cloud (EOSC).

EOSC Future is structured around six thematic pillars that strategically group the work package tasks and activities and coherently present the key objectives and activities of the project to stakeholders: Pillar 1 on Policy & Strategy will coordinate and support a strategic vision for the future EOSC; Pillar 2 on Connection & Integration will connect and integrate EOSC infrastructures, data, and services; Pillar 3 on Excellent Science & Interdisciplinarity will extend the EOSC value Chain with scientific use cases; Pillar 4 on Growth & Innovation will grow and innovate EOSC with value-added services; Pillar 5 on Skills & Training will train users and providers of the EOSC ecosystem; and Pillar 6 on Engagement & Communications will engage the wider EOSC Community at a global level.


Duration : from 01-04-2021 to 30-09-2023

EU Contribution : EUR 40 894 051,25


EOSC - Synergy

The proposal for the EOSC-synergy project, submitted to the Horizon 2020 EINFRA-EOSC-5(b) call, has been favourably evaluated. The project will be coordinated by IBERGRID, the Iberian scientific and technological cooperation framework signed by Spain and Portugal on distributed computing. The project runs from September 1st 2019 to 31st of March 2022. 

The consortium additionally includes the main research infrastructure and data providers in GermanyPolandCzech RepublicSlovakia, experts in policy development and FAIR data repositories in the Netherlands and the United Kingdom, and the EGI Foundation.

Research groups in the areas of Life Sciences, Environmental Sciences and Astrophysics. Earth Observation are represented by research centers from Portugal, France and Spain, and by a leading industrial partner, INDRA. The project will also act as a bridge of EOSC towards South America, establishing a  link with the Brazilian Cloud and Astrophysics experiments.

EOSC-synergy will contribute to the European Open Science Cloud landscape by expanding the capabilities and building the capabilities of EOSC. In practice this will mean more compute and storage available to researchers, and more datasets and tools to expand avenues of research.

www.eosc-synergy.eu

FACE

FACE - FAir Computational Epidemiology

The FACE project envisions a huge opportunity in providing an open modeling and simulation platform where scientists can exploit a wide variety of datasets, with different access and privacy policies, as a way to provide rapid responses to epidemics outbreaks through research infrastructure services underpinning and supporting epidemics research.


WineGut_BrainUP project

TÍTULO DEL PROYECTO: Un enfoque integral para entender la relación entre el consumo de vino, la dieta y la modulación del microbioma en la enfermedad de Alzheimer (WineGut_BrainUP project) (PID2019-108851RB)

PROMOTOR: CONSEJO SUPERIOR DE INVESTIGACIONES CIENTÍFICAS (CSIC)

CENTRO DE ADSCRIPCIÓN: Instituto de Investigación en Ciencias de la Alimentación (CIAL, Madrid) e Instituto de Ciencias de la Vid y el Vino (ICVV, La Rioja)

COVID 19 en español

Investigación interdisciplinar sobre terminología, temáticas y comunicación de la ciencia.


Proyecto intramural del CSIC que se plantea el análisis del corpus completo de noticias sobre COVID19 publicadas por The Conversation (en español) con seis objetivos fundamentales:

  1. Estudiar el lenguaje y especialmente la terminología utilizada en la comunicación sobre COVID19. Representar la “nueva terminología” y los conceptos asociados mediante herramientas de la web semántica, que supongan aportar conocimiento estructurado y sólido a la nube de datos lingüísticos. Para ello se procederá a la extracción de términos del corpus mediante herramientas ya entrenadas, se convertirán a RDF y se enriquecerán con relaciones jerárquicas y de dominio, de forma que el resultado sea una terminología semánticamente enriquecida.
  2. Cartografiar los temas tratados y crear una ontología que permita observar la presencia e interrelación entre las distintas disciplinas científicas. Se examinarán con especial atención la perspectiva y las aportaciones desde las Humanidades y las Ciencias Sociales.
  3. Estudiar el discurso y la argumentación a través de dos estudios de caso, mediante el trabajo con especialistas y el apoyo en tecnologías semánticas.
  4. Obtener la red de especialistas en COVID19 y su relación con los distintos temas, aplicando metodologías de supercomputación y creando así un conjunto de datos (dataset) que siga los principios FAIR de ciencia abierta.
  5. Estudiar el ciclo de vida de la información científica, comenzando desde las fuentes originales citadas hasta su posible repercusión e impacto.
  6. Examinar las innovaciones producidas en la comunicación científica y darlas a conocer entre estructuras editoriales, instituciones de investigación e instituciones de política científica.

Para abordar estos objetivos se ha constituido un equipo multidisciplinar, que ya trabaja conjuntamente en el marco de la Plataforma Temática Interdisciplinar del CSIC ES CIENCIA, sobre el español como lengua de comunicación científica. En el equipo hay especialistas en Lexicografía, Terminología, Lingüística Computacional, Tecnologías semánticas, Humanidades Digitales, Edición Académica y Estudios Sociales de la Ciencia.

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