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EXPEDITE

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EXPloring opportunitiEs for developing a risk and resilience climate service bas...

EXPloring opportunitiEs for developing a risk and resilience climate service baseD on bIg daTa and machinE learning Despite the urgent need for adopting multi-hazard risk approaches and for the implementation of resilience-enhancing measures in the EU and at the global scale, several challenges for effective implementation of risk assessment an... see more

31/08/2025

UNIVE

189K€

Project Budget: 189K€

Project leader

UNIVERSITA CA FOSCARI VENEZIA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

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Financing granted El organismo HORIZON EUROPE notifico la concesión del proyecto The day 2022-07-19

HORIZON-MSCA-2021-PF-01-01: MSCA Postdoctoral Fellowships 2024 ExpectedOutcome:

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

4 Participantes

UNIVE

188.59K€ | Leader

GECOSISTEMA SRL

N.D. | participant

UNIGE

N.D. | participant

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Project duration: 37 months Date Start: 2022-07-19
End date: 2025-08-31

Project leader

UNIVERSITA CA FOSCARI VENEZIA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 189K€

participation deadline Sin fecha límite de participación.

Project description Despite the urgent need for adopting multi-hazard risk approaches and for the implementation of resilience-enhancing measures in the EU and at the global scale, several challenges for effective implementation of risk assessment and adaptation responses remain. In particular, the assessment of climate hazards, risk and resilience is often based on static models which lose the appreciation of the temporal and spatial dynamics and complex feedback responses within the system. As a consequence, the information provided often fails to inform decision-makers and other end-users with the correct data to be actioned through timely responses to emerging risks. Barriers to development and implementation of novel approaches and models include the availability, cost and reliability of input datasets; the computational times and costs; the lack of consideration of the combined effect of multiple hazards; the spatial and temporal changes in the exposure of assets and services; and the complex adaptive responses of government, society and the environment to emerging risks. EXPEDITE aims at exploring new pathways to reduce and remove these barriers by exploring, testing and deploying machine learning and data science techniques and by developing and testing a climate service prototype, tailored to end-users. These may include institutional clients (such as Regions) the private sector or individual consumers. The research project, which will last 24 months, will be mainly conducted at CMCC@Ca’Foscari in Venice (Italy) under the supervision of Prof. Andrea Critto, with targeted secondments for advanced training in machine learning and data science at MALGA, University of Genoa and for climate service design and prototyping at GECOsistema srl, a specialised R&D consulting lab. A targeted dissemination and communication plan will allow EXPEDITE to share the research activities, outcomes and outputs with researchers, policymakers, the private sector and the general public.

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