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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.

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

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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