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EXPloring opportunitiEs for developing a risk and resilience climate service baseD on bIg daTa and machinE learning

CORDIS · observation · Publication date unknown

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 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

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recordType

award

status

SIGNED

region

EU

value

188590.08

unit

EUR