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15,013 Projects, page 2 of 1,502

  • 2021-2021
  • 2019
  • 2022

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  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 835496
    Overall Budget: 281,827 EURFunder Contribution: 281,827 EUR
    Partners: INRAE, IRSTEA

    Hydrologic extremes (floods and intense precipitations) are among Earth’s most common natural hazards and cause considerable loss of life and economic damage. Despite this, some of their key characteristics are still poorly understood at the global scale. The IPCC thus reports “a lack of evidence and thus low confidence regarding the sign of trend in the magnitude and/or frequency of floods on a global scale”. More generally, the space-time variability of hydrologic extremes is yet to be thoroughly described at the global scale. As a striking illustration, the recent initiative “23 unsolved problems in Hydrology that would revolutionise research in the 21st century” of the International Association of Hydrological Sciences includes questions such as: are the characteristics of extreme hydrologic events changing and if so why? How do extremes around the world teleconnect with each other and with other factors? Why do extreme-rich/poor periods exist? It is vital to fill these knowledge gaps to inform design, safety and financial procedures and to improve hazard preparedness and response. The project’s ambition is hence to better understand the global space-time variability of hydrologic extremes, using a three-pillar research strategy based on methodological innovation, extensive data analysis and proof-of-concept case studies. The specific objectives are to: 1. Develop a statistical framework to describe the global-scale variability of extremes in relation to climate; 2. Analyse global precipitation/streamflow datasets with the aim of quantifying teleconnections, spatial clustering, trends and extreme-rich/poor periods, along with their climate drivers; 3. Explore practical applications such as global early warning systems allowing international disaster response organisations to trigger early actions. Successful completion of the project will deliver new tools to analyse extremes at the global scale and will hence contribute to more efficient risk management.

  • Funder: FWF Project Code: J 4260
    Funder Contribution: 153,355 EUR
    Partners: Utrecht University - Department of Chemical Biology and Drug Discovery
  • Funder: NIH Project Code: 5R21AI142127-02
    Funder Contribution: 193,125 USD
    Partners: University of Notre Dame
  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 870743
    Overall Budget: 3,995,040 EURFunder Contribution: 3,995,040 EUR
    Partners: IIT, NOHO LIMITED, MAPA DAS IDEIAS, EY Advisory, MAPILLARY AB, ARDITI, MICHAEL CULTURE, INTERARTS, ECCOM CENTRO EUROPEO PER L'ORGANIZZAZIONE E IL MANAGEMENT CULTURALE -EUROPEAN CENTRE FOR CULTURAL ORGANISATION AND MANAGEMENT ASSOCIAZIONE, CNRS...

    MEMEX promotes social cohesion through collaborative, heritage-related storytelling tools that provide access to tangible and intangible Cultural Heritage (CH) for communities at risk of exclusion. The project implements new actions for social science to: understand the NEEDS of such communities and co-design interfaces to suit their needs; DEVELOP the audience through participation strategies; while increasing the INCLUSION of communities. The fruition of this will be achieved through ground breaking ICT tools that provide a new paradigm for interaction with CH for all end user. MEMEX will create new assisted Augmented Reality (AR) experiences in the form of stories that intertwine the memories (expressed as videos, images or text) of the participating communities with the physical places / objects that surround them. To reach these objectives, MEMEX develop techniques to (semi-)automatically link images to their LOCATION and connect to a new opensource Knowledge Graph (KG). The KG will facilitate assisted storytelling by means of clustering that links consistently user data and CH assets in the KG. Finally, stories will be visualised onto smartphones by AR on top of the real world allowing to TELL an engaging narrative. MEMEX will be deployed and demonstrated on three pilots with unique communities. First, Barcelona’s Migrant Women, which raises the gender question around their inclusion in CH, giving them a voice to valorise their memories. Secondly, MEMEX will give access to the inhabitants of Paris’s XIX district, one of the largest immigrant settlements of Paris, to digital heritage repositories of over 1 million items to develop co-authored new history and memories connected to the artistic history of the district. Finally, first, second and third generation Portuguese migrants living in Lisbon will provide insights on how technology tools can enrich the lives of the participants.

  • Funder: NIH Project Code: 5F31DK122679-03
    Funder Contribution: 33,227 USD
    Partners: INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS
  • Funder: NIH Project Code: 1R01EB027918-01
    Funder Contribution: 686,741 USD
    Partners: WEILL MEDICAL COLL OF CORNELL UNIV
  • Funder: NIH Project Code: 5R21AI139386-02
    Funder Contribution: 206,250 USD
    Partners: University of Southern California
  • Funder: NIH Project Code: 1F32GM133133-01
    Funder Contribution: 61,226 USD
    Partners: PRINCETON UNIVERSITY
  • Funder: NIH Project Code: 5R00AG054732-05
    Funder Contribution: 247,426 USD
    Partners: Brown University
  • Funder: NIH Project Code: 5R34MH118122-03
    Funder Contribution: 187,040 USD
    Partners: CALIFORNIA STATE UNIV-DOMINGUEZ HILLS
Advanced search in
Projects
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
15,013 Projects, page 2 of 1,502
  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 835496
    Overall Budget: 281,827 EURFunder Contribution: 281,827 EUR
    Partners: INRAE, IRSTEA

    Hydrologic extremes (floods and intense precipitations) are among Earth’s most common natural hazards and cause considerable loss of life and economic damage. Despite this, some of their key characteristics are still poorly understood at the global scale. The IPCC thus reports “a lack of evidence and thus low confidence regarding the sign of trend in the magnitude and/or frequency of floods on a global scale”. More generally, the space-time variability of hydrologic extremes is yet to be thoroughly described at the global scale. As a striking illustration, the recent initiative “23 unsolved problems in Hydrology that would revolutionise research in the 21st century” of the International Association of Hydrological Sciences includes questions such as: are the characteristics of extreme hydrologic events changing and if so why? How do extremes around the world teleconnect with each other and with other factors? Why do extreme-rich/poor periods exist? It is vital to fill these knowledge gaps to inform design, safety and financial procedures and to improve hazard preparedness and response. The project’s ambition is hence to better understand the global space-time variability of hydrologic extremes, using a three-pillar research strategy based on methodological innovation, extensive data analysis and proof-of-concept case studies. The specific objectives are to: 1. Develop a statistical framework to describe the global-scale variability of extremes in relation to climate; 2. Analyse global precipitation/streamflow datasets with the aim of quantifying teleconnections, spatial clustering, trends and extreme-rich/poor periods, along with their climate drivers; 3. Explore practical applications such as global early warning systems allowing international disaster response organisations to trigger early actions. Successful completion of the project will deliver new tools to analyse extremes at the global scale and will hence contribute to more efficient risk management.

  • Funder: FWF Project Code: J 4260
    Funder Contribution: 153,355 EUR
    Partners: Utrecht University - Department of Chemical Biology and Drug Discovery
  • Funder: NIH Project Code: 5R21AI142127-02
    Funder Contribution: 193,125 USD
    Partners: University of Notre Dame
  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 870743
    Overall Budget: 3,995,040 EURFunder Contribution: 3,995,040 EUR
    Partners: IIT, NOHO LIMITED, MAPA DAS IDEIAS, EY Advisory, MAPILLARY AB, ARDITI, MICHAEL CULTURE, INTERARTS, ECCOM CENTRO EUROPEO PER L'ORGANIZZAZIONE E IL MANAGEMENT CULTURALE -EUROPEAN CENTRE FOR CULTURAL ORGANISATION AND MANAGEMENT ASSOCIAZIONE, CNRS...

    MEMEX promotes social cohesion through collaborative, heritage-related storytelling tools that provide access to tangible and intangible Cultural Heritage (CH) for communities at risk of exclusion. The project implements new actions for social science to: understand the NEEDS of such communities and co-design interfaces to suit their needs; DEVELOP the audience through participation strategies; while increasing the INCLUSION of communities. The fruition of this will be achieved through ground breaking ICT tools that provide a new paradigm for interaction with CH for all end user. MEMEX will create new assisted Augmented Reality (AR) experiences in the form of stories that intertwine the memories (expressed as videos, images or text) of the participating communities with the physical places / objects that surround them. To reach these objectives, MEMEX develop techniques to (semi-)automatically link images to their LOCATION and connect to a new opensource Knowledge Graph (KG). The KG will facilitate assisted storytelling by means of clustering that links consistently user data and CH assets in the KG. Finally, stories will be visualised onto smartphones by AR on top of the real world allowing to TELL an engaging narrative. MEMEX will be deployed and demonstrated on three pilots with unique communities. First, Barcelona’s Migrant Women, which raises the gender question around their inclusion in CH, giving them a voice to valorise their memories. Secondly, MEMEX will give access to the inhabitants of Paris’s XIX district, one of the largest immigrant settlements of Paris, to digital heritage repositories of over 1 million items to develop co-authored new history and memories connected to the artistic history of the district. Finally, first, second and third generation Portuguese migrants living in Lisbon will provide insights on how technology tools can enrich the lives of the participants.

  • Funder: NIH Project Code: 5F31DK122679-03
    Funder Contribution: 33,227 USD
    Partners: INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS
  • Funder: NIH Project Code: 1R01EB027918-01
    Funder Contribution: 686,741 USD
    Partners: WEILL MEDICAL COLL OF CORNELL UNIV
  • Funder: NIH Project Code: 5R21AI139386-02
    Funder Contribution: 206,250 USD
    Partners: University of Southern California
  • Funder: NIH Project Code: 1F32GM133133-01
    Funder Contribution: 61,226 USD
    Partners: PRINCETON UNIVERSITY
  • Funder: NIH Project Code: 5R00AG054732-05
    Funder Contribution: 247,426 USD
    Partners: Brown University
  • Funder: NIH Project Code: 5R34MH118122-03
    Funder Contribution: 187,040 USD
    Partners: CALIFORNIA STATE UNIV-DOMINGUEZ HILLS
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