Overview
IFPRI has pioneered work on rigorous economic simulation modeling of food systems to inform decision making by national governments, funding partners, and other stakeholders. IFPRI-led models analyze impacts of policy and investment options on nutrition, poverty, social inclusion, climate change, and the environment under real-time shocks (such as COVID-19 and the conflict in Ukraine) and under alternative future scenarios (including different socioeconomic and climate change trajectories). Three complementary modeling systems focus on different geographic scales (subnational to global), time scales (near-term to several decades), and sectoral scales (agriculture sector to economywide).
IFPRI’s Modeling Systems

RIAPA
RIAPA (The Rural Investment and Policy Analysis data and modeling system) is IFPRI’s primary tool for forward-looking, country-level analysis. RIAPA has features that make it ideal for tracking the economywide impacts of policies, investments, or economic shocks at national and subnational levels over the near-to-medium term. RIAPA tracks changes in growth and employment across and beyond the food system, as well as poverty and food security at the household level.

MIRAGRODEP
MIRAGRODEP is a global Computable General Equilibrium (CGE) model that captures international economic linkages through the international trade of goods, as well as through the movement of people and capital. MIRAGRODEP provides a rich set of indicators for each region, which allows measurement of the impact of policy changes on both macroeconomic aggregates and inequality indicators over the near-to-medium term.

IMPACT
IMPACT (the International Model for Policy Analysis of Agricultural Commodities and Trade) is a system of linked economic, water, and crop models for analysis of climate change and other long-term drivers of the global food system. IMPACT focuses on the agriculture sector at subnational to global scales (including 60 commodities in 158 countries) over the medium-to-longer term (several decades).
Other modeling frameworks supported by IFPRI
DREAMpy (Dynamic Research EvaluAtion for Management, python version)
Open source, user-friendly software for evaluating the economic impacts of agricultural research and development projects.
MINK
A global-scale, systematically geographically gridded, process-based crop simulation modeling system.
SPAM (Spatial Production Allocation Model)
Open source, user-friendly software for evaluating the economic impacts of agricultural research and development projects.
Models Webinar Series
In this webinar series, our researchers present insights from IFPRI’s key modeling systems and their outputs, developed with other CGIAR Centers and partners. This work is helping to answer the critical questions facing decision-makers and stakeholders in today’s agrifood systems: What does climate change mean for the future of agriculture? How do we prioritize different agrifood system policies and investments? What are the sources, impacts, and trade-offs of agricultural productivity growth? What policy steps should governments take when a crisis strikes and a rapid response is required?
Related Blogs
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How AI can help reduce food loss and waste in Nigeria’s tomato value chain
Using photos to analyze when and where produce goes bad.
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Irrigation as a service: Expanding water access for smallholder and women farmers
“Where water flows, equality grows”—World Water Day 2025.
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A new tool enables policymakers to measure the reach of biofortification programs
Assessing efforts to scale up cultivation and consumption.
Related News
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The war in Iran sparks a global fertilizer shortage and threatens food prices (AP)
AP quotes IFPRI’s Joseph Glauber on how the Iran war and Strait of Hormuz disruptions are tightening global fertilizer supplies. He warns farmers may switch to less fertilizer-intensive crops or…
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Middle East conflict and food security in Africa (BBC)
This issue of BBC’s “Focus on Africa” looks at how the conflict in the Middle East is affecting the supply of fertilizer on the African continent–with insights from Oliver Kirui,…
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What’s really driving your grocery bill up? (CGTN America)
CGTN spoke with IFPRI’s Joseph Glauber about how the Strait of Hormuz crisis could drive up fertilizer and food prices worldwide.
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When Data Is Everywhere: Digital Research Methods Transforming Food Systems Science
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Leveraging Automatic Speech Recognition and Farmer-Generated Data for Insight, Inclusion, and Impact
As speech recognition and mobile data collection tools mature, increasing attention is turning to a critical next question: how can farmer-generated data be meaningfully used to inform research, programs, and policy? This session builds directly on earlier discussions of Automatic Speech Recognition (ASR) for agriculture by focusing on the applications, utility, and downstream impacts of…
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Agricultural Insurance: Innovations, Policies, and Pathways to Scale
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