Modelling Individual Decisions to Support
the European Policies Related to Agriculture
MIND-STEP newsletter
MODELLING INDIVIDUAL DECISIONS TO SUPPORT THE EUROPEAN POLICIES RELATED TO AGRICULTURE

This is the 7th newsletter of the MIND STEP project where you can:

  • Find out what MIND STEP is all about
  • Read about the latest developments of the project
  • Know more about networking with other EU projects
  • Get information on upcoming events
  • Find information about how to join us
LATEST NEWS FROM MIND STEP
Project meeting in Halle
Project meeting in Halle
The MIND STEP team met again on 15-17 March 2023. This time Leibniz Institute of Agricultural Development in Transition Economies (IAMO) was our host in Halle, Germany. This annual project meeting was an excellent opportunity to review the project achievements and the state of play of the MIND STEP toolbox.
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MIND STEP final stakeholder meeting - SAVE THE DATE!
MIND STEP final stakeholder meeting - SAVE THE DATE!
The final MIND STEP stakeholder meeting will take place in Brussels on the 26 October 2023. It will be hosted by the Representation of the State of Lower Saxony. This meeting will serve to communicate the latest project results including the presentation of the MIND STEP model toolbox.
MARK YOUR CALENDAR!
MIND STEP at the 9th conference of the agricultural economics society
MIND STEP at the 9th conference of the agricultural economics society
The projects AGRICORE, BESTMAP, and MIND STEP, which form the the Agrimodels Cluster presented the current state of their work and recent findings during a workshop at the 97th Annual Conference of The Agricultural Economics Society that was held at The University of Warwick, UK - 27th - 29th March 2023.
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OUR OPEN ACCESS RESEARCH ARTICLES
Surrogate modelling of a detailed farm-level model using deep learning
Surrogate modelling of a detailed farm-level model using deep learning
Read the open access research paper by colleagues from the MIND STEP project consortium on “Surrogate modelling of a detailed farm-level model using deep learning." in the Journal f Agricultural ECONOMICS. 06 May 2023
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North Rhine-Westphalia
Data on a synthetic farm population of the German federal state of North Rhine-Westphalia
Read the open access research paper by colleagues from the MIND STEP project consortium on “Data on a synthetic farm population of the German federal state of North Rhine-Westphalia" in the Volume 36, June 2021, article 107007
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PUBLIC DELIVERABLES SUBMITTED

Deliverable 2.5 Final version of interfaces for economic databases

Deliverable 2.7 Database for linking economic and bio-physical data

Deliverable 2.8 Common handbook for maintenance and continuation of interfaces for economic and biophysical data handling for farm modelling at IDM unit levels

OTHER NEWS
MIND STEP 2021-2022 recap video
MIND STEP 2021-2022 recap video
Check out this video which showcases the major achievements and communication activities of the project from 2021 to 2022 and outlines the key actions that will be taken until the project concludes in December 2023
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Participation in the seminar on policy, markets and trade in the bioeconomy
Participation in the seminar on "policy, markets and trade in the bioeconomy"
On 1 February 2023, MIND STEP partner from Università Cattolica del Sacro Cuore (UCSC), Silvia Coderoni, attended the online seminar “Policy, Markets, and Trade in the bioeconomy” organized by the University of Hohenheim- Stuttgart.
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MIND STEP COOPERATING WITH FELLOW PROJECTS: THE AGRIMODELS CLUSTER
DID YOU KNOW?
Alltogether three projects are funded under the Work Programme Topic RUR-04-2018-2019, contributing to Rural Renaissance by further developing analytical tools and models to support policies related to agriculture and food. Developing new models supporting policies related to agriculture:
AGRICORE
BESTMAP
MIND STEP
Visit the AGRIMODELS CLUSTER home page
As part of the Grant Agreement signed with the EC the consortia participating them agreed on forming a cluster with the other projects funded within the same topic. As a result, a Memorandum of Understanding (MoU) to establish the AGRIMODELS Cluster and detailing the coordination activities between the projects has been developed.

The coordinating teams of the three AGRIMODELS Cluster projects meet regularly to exchange their experiences regarding data management, modelling challenges, and identify possibilities for joint outreach activities.
Read more about the cluster
HIGHLIGHTS FROM OUR FELLOW PROJECTS
BESTMAP

Dr Tomás Václavík of UPOL, Czech Republic, will represent BESTMAP at two conferences:

  • The 6th International Research Workshop on Archetype Analysis in Sustainability Research, 7-9 June 2023, in Lund, Sweden, he will present a workshop on “Farming System Archetypes for modelling impacts of agricultural policies”.
  • The International Association for Landscape Ecology (IALE) 2023 World Congress, 10-15 July 2023, in Nairobi, Kenya, he will present on “The impact of agri-environment-climate measures on farmland biodiversity.”
AGRÓNOMA
  • On the 10th and 11th of May, AGRICORE consortium had its 42M project meeting in Lublin, Poland! Read more
  • AGRICORE was present at EXPOLIVA 2023, the International Extra Virgin Olive Oil Exhibition which took place from the 10th to 13th of May in Jaén, Spain.
  • Our use case analysis have results! Check them out at AGRICORE website. Here you will find our outcomes in the Andalusian, Polish and Greek Use Cases.
UPCOMING EVENTS
JOIN US!

Your active engagement is important to ensure that MIND STEP is developing a toolbox tailored to the research and policy questions identified in collaboration with the main stakeholders.

THERE ARE MANY OPPORTUNITIES TO GET INVOLVED IN MIND STEP:

  • Participate in stakeholder workshops
  • Contribute to our virtual co-creation online community
  • Sign up for the MIND STEP newsletter.
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European Commission
This project has received funding from the European Union's research and innovation programme under grant agreement No 817566.

This newsletter reflects only the authors' view and that the European Commission is not responsible for any use that may be made of the information it contains.

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