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MODFaBe SIGNED

Modelling individual farmer behaviours in Coupled Human Natural Systems under changing climate and society

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 MODFaBe project word cloud

Explore the words cloud of the MODFaBe project. It provides you a very rough idea of what is the project "MODFaBe" about.

events    scenarios    simulations    endless    learning    safe    reduce    combination    simulate    decisions    coupled    respect    artificial    makers    interventions    rainfall    techniques    vulnerability    interactions    city    irrigation    stakeholders    southeast    nature    water    chns    latitude    sectors    strategies    extreme    qualitative    hydrosocial    informing    decision    insights    technically    policy    climate    political    intelligence    types    statistical    computational    managers    actions    natural    adapt    muzza    individual    laboratory    italy    frequency    effectiveness    context    community    sustainable    quantitative    socially    agents    farmer    seemingly    agriculture    food    ecological    constructed    nexus    experimentation    weather    milan    human    interviews    farmers    floods    collected    located    survey    resilience    behavioural    anticipate    droughts    social    sciences    temperature    lower    multifunctional    question    uncertain    resilient    northern    dependent    influence    behave    district   

Project "MODFaBe" data sheet

The following table provides information about the project.

Coordinator
POLITECNICO DI MILANO 

Organization address
address: PIAZZA LEONARDO DA VINCI 32
city: MILANO
postcode: 20133
website: www.polimi.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 171˙473 €
 EC max contribution 171˙473 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-09-01   to  2022-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    POLITECNICO DI MILANO IT (MILANO) coordinator 171˙473.00

Map

 Project objective

Agriculture is one of the sectors most affected by climate change, especially in lower latitude areas, were climate change will result in increased temperature, reduced rainfall, and increased frequency of extreme weather events such as floods and droughts. Water and food nexus, often embedded in seemingly endless ecological, social and political interactions, are context-dependent, socially constructed and technically uncertain. Modelling techniques have been recognized, also in social sciences, as effective computational techniques to simulate social influence processes in human-nature systems from interactions within community of individual agents. The aim of the proposal is to reduce the vulnerability and improve the resilience of multifunctional irrigation systems to climate change scenarios by modelling individual farmer’ behaviour and informing managers and decision-makers about the effectiveness of different types of interventions. Through the combination of qualitative and quantitative methods and evidence-based analysis from social learning process (survey sample, interviews, statistical analyses, behavioural modelling simulations, artificial intelligence), insights are collected on how individual farmer and key stakeholders behave with respect to climate change adaptation in Coupled Human Natural Systems (CHNS), such as hydrosocial systems (e.g. multifunctional irrigation systems). A key question in today climate change adaptation research will be addressed: Can behaviour modelling help farmers to promote actions and anticipate decisions to adapt to climate change and become more sustainable and resilient? The assessment of farmer’ behavioural on climate change adaptation measures will be conducted on the Muzza irrigation district, located southeast of the city of Milan (Northern Italy). Modelling human behaviour can be used as a safe laboratory for policy experimentation, testing the effectiveness of strategies and policy measures on climate change.

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The information about "MODFABE" are provided by the European Opendata Portal: CORDIS opendata.

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