Modelling Individual Decisions to Support
the European Policies Related to Agriculture

News & Events

MIND STEP oraganize Agrimodels cluster session at the 16th EAAE Congress, 22 July 2021
MIND STEP oraganize Agrimodels cluster session at the 16th EAAE Congress, 22 July 2021

We organize the online Agrimodels cluster session "Use Of Individual Decision Making Models To Support Policies" at the 16th Congress of the European Association of Agricultural Economists on 22 July 2021 at 10:30am - 12:00pm CET.

Join us for our session!

Read the session descriptions and abstracts below.

MIND STEP in the ENRD Evaluation Knowledge Bank
MIND STEP in the ENRD Evaluation Knowledge Bank

Check out MIND STEP being featured in the newly launched Evaluation Knowledge Bank of the EC European Network for Rural Regions (ENRD).

The purpose of the Knowledge Bank is to provide insights into various outputs developed in initiatives and projects at the EU and Member States levels concerning data infrastructures and data use. Furthermore, it proposes a quick guide on potential use, showing how these outputs could be used for monitoring and evaluation of the CAP.

Accounting for farm-level decision making in policy design and analysis – the MIND STEP modelling toolbox
Accounting for farm-level decision making in policy design and analysis – the MIND STEP modelling toolbox

The Horizon 2020 project MIND STEP aims to support public decision making in agricultural, rural, environmental and climate policies taking into account the behaviour of individual decision-making units in agriculture and the rural society.

Read our fresh news article on CORDIS here.

MIND STEP 3RD NEWSLETTER IS OUT
MIND STEP 3RD NEWSLETTER IS OUT

We are very pleased to inform you that we have just released the 3rd issue of the MIND STEP Project Newsletter.

You may access and browse or download the PDF version here.

Here are some highlights what you can find in this issue:

WP6 partner meeting: validation and policy evaluation
WP6 partner meeting: validation and policy evaluation
We are having the WP6 kick off meeting now. The aim is to discuss the detailed workflow on the validation of the specific tools and the MIND STEP model toolbox, and its application to selected policy measures. More to come after the meeting.
Landscape 2021 - Diversity for Sustainable and Resilient Agriculture
Landscape 2021 - Diversity for Sustainable and Resilient Agriculture

20-22 September 2021, Berlin, Germany

Landscape 2021 will together scientists from across disciplines with key actors to explore whether and how diversity and diversification can contribute to a more sustainable and resilient agriculture.

Deliverable D2.3 - Common processing plan
Deliverable D2.3 - Common processing plan

Prepared in collaboration with projects in the AGRIMODEL Cluster this deliverable summarises the two workshops organised within the AGRIMODELS cluster (https://agrimodels-cluster.eu/), that organises the three RUR-04 projects, discussing the possibilities and difficulties of a common data processing plan.

Deliverable D7.6: Prototype of the data services and download services
Deliverable D7.6: Prototype of the data services and download services

Prepared by IIASA this deliverable describes the initial prototype of the MIND STEP data and download services.

Deliverable D2.1: Summary of required data from WP 3/4/5
Deliverable D2.1: Summary of required data from WP 3/4/5

Prepared by THÜNEN this report summarises the results of a questionnaire sent to the partners of the MIND STEP consortia to report on the data sources used in the project.

Deliverable D2.4: Prototype for Interfaces
Deliverable D2.4: Prototype for Interfaces

Prepared by the Thünen Institute this deliverable lists the R packages that are developed to be used as interfaces for different databases of the models of MIND STEP. 

Deliverable D2.6: Literature review of methods for linking economic and bio-physical databases
Deliverable D2.6: Literature review of methods for linking economic and bio-physical databases

Prepared by the Thünen Institute and the JRC this report summarizes the literature in the field of linking economic and bio-physical data.