Modelling Individual Decisions to Support
the European Policies Related to Agriculture

News & Events

GEO attended the Online EU Conference on modelling for Policy support
GEO attended the Online EU Conference on modelling for Policy support

The EU Conference on modelling for policy support took place on 22-26 November 2021

MIND STEP project team attends a seminar on project results and project general meeting
MIND STEP project team attends a seminar on project results and project general meeting

Seminar on results of Work Package 1: Defining, scoping and understanding policies and trends and MIND STEP Consortium meeting

WP4 PARTNERS MEETING IN HALLE (SAALE)
WP4 PARTNERS MEETING IN HALLE (SAALE)
Partners involved in Task 4.5 from WP4 spent one week in Halle (Saale), where they discussed the exact interface that connects the surrogate model and AgriPolis. The two partners have to focus on how to integrate the two models despite their differences and thus make a substantial contribution to the MIND STEP toolbox. 
MIND STEP PRESENT AT THE 197TH EAAE SEMINAR IN CRETE
MIND STEP PRESENT AT THE 197TH EAAE SEMINAR IN CRETE

MIND STEP was featured in the EAAE seminar in Crete, Greece (09-10 September 2021)

The European Association of Agricultural Economists (EAAE) is behind this seminar whose aim is to reunite scholars and researchers who work on agriculture and the agrifood industry. During the seminar, they exchange ideas and best practices on how to assist policymakers in these ares. 
 

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

We are organising 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.