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

Total Cost €


EC-Contrib. €






 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.

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

Project "MODFaBe" data sheet

The following table provides information about the project.


Organization address
city: MILANO
postcode: 20133

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


Take a look of project's partnership.

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


 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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