Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

INSUREADAPT

Financiado

Public–Private Insurance Partnerships for Adapting to Multi-Hazard Climate Chang...

Public–Private Insurance Partnerships for Adapting to Multi-Hazard Climate Change Risks Natural disasters cause substantial economic losses, which are expected to increase due to climate change. The insurance sector plays a central role in managing these risks. It is thus imperative that insurers accurately assess an... ver más

30/11/2028

STICHTING VU

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

STICHTING VU No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-04-03

ERC-2022-COG: ERC CONSOLIDATOR GRANTS Scope:Objectives

I+D

Cerrada hace 2 años

0% 100% 100%

1 Participantes

STICHTING VU

2.00M€ | Lider

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

SOTERIA SOlutions TEsting for Regions through Insurance for climate... 3M€ Cerrado

FiBeGa Filling the Behavioral Gap in Disaster Risk Reduction and Cl... 2M€ Cerrado

C2IMPRESS CO-CREATIVE IMPROVED UNDERSTANDING AND AWARENESS OF MULTI-HA... 4M€ Cerrado

SCALAR Scaling up behavior and autonomous adaptation for macro mode... 1M€ Cerrado

ROC3Risks Economic and Financial Impacts from Rapid-Onset Compound and... 184K€ Cerrado

IMAGINE adaptation IMAGINE climate change adaptation in urban areas 1M€ Cerrado

Duración del proyecto: 67 meses Fecha Inicio: 2023-04-03
Fecha Fin: 2028-11-30

Líder del proyecto

STICHTING VU No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Descripción del proyecto Natural disasters cause substantial economic losses, which are expected to increase due to climate change. The insurance sector plays a central role in managing these risks. It is thus imperative that insurers accurately assess and address climate risks. Risk assessment methods currently fall short in accurately understanding climate risks because they focus on single hazards (e.g. floods) instead of correlated multi-hazard risks (e.g. windstorms and floods) affected by climate change. They also insufficiently account for human climate adaptation processes leading to risk reduction, which are characterized by bounded rationality and social interaction. Furthermore, additional insights are needed into how to design insurance arrangements that address climate change and stimulate policyholders to adapt to multi-hazard climate risks by limiting natural disaster damage. This project aims to design insurance arrangements to enhance policyholders’ adaptation to multi-hazard climate risks by combining financial coverage with comprehensive strategies for stimulating risk reduction. Its interdisciplinary approach goes beyond the state-of-the-art by creating novel multi-hazard climate risk assessments for insurance and by developing agent-based models (ABMs) that account for boundedly rational human adaptation decisions and social interaction. The ABMs evaluate natural disaster insurance arrangements for EU countries with diverse risk contexts and assess strategies for stimulating adaptation by policyholders, based on input from behavioural economic studies. Repeated and real-time surveys and economic experiments will identify comprehensive strategies for triggering behavioural change to stimulate adaptation to the multitude of climate change risks individuals face. These strategies linked to (public–private) insurance combine communication on risk and risk reduction measures, insurance incentives (e.g. deductibles, premium discounts), and nudges.

Conecta tu I+D

Entra hoy

¿Olvide mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores