Opendata, web and dolomites

MODFaBe SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MODFABE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

PNAIC (2018)

Positive and Negative Asymmetry in Intergroup Contact: Its Impact on Linguistic Forms of Communication and Physiological Responses

Read More  

ASIQS (2019)

Antiferromagnetic spintronics investigated by quantum sensing techniques

Read More  

EVENTS (2020)

Affective work-related daily events, and changing characteristics of the work context: New challenges for management practices to deliver employees’ well-being and workplace performance

Read More  
lastchecktime (2022-05-17 19:58:57) correctly updated