SciTransfer
Organization

LEIBNIZ-INSTITUT FUER AGRARENTWICKLUNG IN TRANSFORMATIONSOEKONOMIEN (IAMO)

German research institute applying agricultural economics, data science, and policy modelling to food systems and rural development in transition economies.

Research institutefoodDENo active H2020 projects
H2020 projects
6
As coordinator
2
Total EC funding
€1.7M
Unique partners
48
What they do

Their core work

IAMO is a German research institute specializing in agricultural economics and rural development, with a particular focus on transition economies in Central and Eastern Europe and Central Asia. They study how farming systems evolve under economic and policy change — analyzing farm structures, food value chains, and the socioeconomic forces shaping rural communities. Their applied research combines economic modelling, big data analytics, and policy analysis to inform EU agricultural and environmental policy. They also invest heavily in building research capacity through training programs and international staff exchanges.

Core expertise

What they specialise in

Agricultural economics and policy modellingprimary
4 projects

Core expertise across ENHANCE, SURE-Farm, MIND STEP, and VALUMICS — spanning farm-level decision models, equilibrium models, and value chain analysis.

Data-driven agricultural analysis (ML, big data, agent-based modelling)emerging
1 project

MIND STEP applied machine learning, big data, and agent-based modelling to support EU agricultural and environmental policy decisions.

Generational renewal and rural youthsecondary
1 project

YOUNG FARMERS project (coordinated by IAMO) studies digital communication strategies to attract young people into farming.

Grassland and land-use change in Central Asiasecondary
1 project

CROSSGRASS (coordinated by IAMO) analyzed grassland greenness across Asian borders in relation to climate and grazing pressure.

Evolution & trajectory

How they've shifted over time

Early focus
Farm economics and resilience
Recent focus
Data-driven agricultural policy modelling

In their earlier H2020 work (2016–2018), IAMO focused on foundational agricultural economics — research capacity building (ENHANCE), farm resilience assessment, and understanding farm demographics including family versus corporate structures. From 2019 onward, their work shifted markedly toward computational and data-driven methods: agent-based modelling, machine learning, and big data for policy support (MIND STEP), alongside a new interest in social dimensions like youth engagement and digital communication in farming (YOUNG FARMERS). This evolution signals a move from traditional econometric approaches toward modern data science applied to agricultural policy questions.

IAMO is moving toward computational modelling and digital tools for agricultural policy, making them an increasingly relevant partner for projects combining data science with food system transformation.

Collaboration profile

How they like to work

Role: active_partnerReach: Global22 countries collaborated

IAMO operates primarily as an active partner in larger consortia (4 out of 6 projects), contributing specialized agricultural economics expertise to multi-country research efforts. They have coordinated two projects — both Marie Skłodowska-Curie fellowships (CROSSGRASS, YOUNG FARMERS) — indicating they lead smaller, focused research initiatives while joining broader consortia as a domain specialist. With 48 unique partners across 22 countries, they maintain a wide and diverse network, suggesting they are well-connected and open to new partnerships rather than working with a closed circle.

IAMO has collaborated with 48 distinct partners across 22 countries, reflecting a broad European and international network. Their geographic reach extends beyond the EU into Central Asia (evidenced by the CROSSGRASS grassland study), giving them unusual connectivity between European and Asian agricultural research communities.

Why partner with them

What sets them apart

IAMO occupies a rare niche: they combine deep expertise in transition economies (post-Soviet, Central/Eastern European agriculture) with increasingly sophisticated computational methods. Few European institutes bridge agricultural economics with machine learning and agent-based modelling the way IAMO is now positioned to do. Their Leibniz Association affiliation ensures long-term institutional stability and research independence, making them a reliable consortium partner for multi-year projects.

Notable projects

Highlights from their portfolio

  • MIND STEP
    Largest budget contribution (EUR 296,625) and represents IAMO's pivot to machine learning and agent-based modelling for EU agricultural policy — their most technically ambitious H2020 project.
  • SURE-Farm
    Major multi-year consortium (2017–2021) on EU farming system resilience, with IAMO's highest single-project funding (EUR 355,301) and strong alignment with their core farm economics expertise.
  • YOUNG FARMERS
    Coordinated by IAMO, this project uniquely combines digital communication research with the socioeconomic challenge of generational renewal in farming — an unconventional but strategically important topic.
Cross-sector capabilities
Environmental policy and climate change adaptationRural development and social innovationData science and computational modelling for policyLand-use monitoring and remote sensing
Analysis note: Profile is well-supported by 6 projects with clear thematic coherence. Keyword data provides good early-vs-recent contrast. The two coordinated projects are both MSCA fellowships (individual researcher grants), so coordination experience on larger RIA-scale projects is not demonstrated. The transition economies focus — central to IAMO's identity — is only partly visible in H2020 data (mainly through CROSSGRASS); their broader institutional mission is inferred from their name and known Leibniz mandate.