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Who we are

With research staff from more than 70 countries, and offices across the globe, IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries.

researcher spotlight

Danielle Resnick

Danielle Resnick is a Senior Research Fellow in the Markets, Trade, and Institutions Unit and a Non-Resident Fellow in the Global Economy and Development Program at the Brookings Institution. Her research focuses on the political economy of agricultural policy and food systems, governance, and democratization, drawing on extensive fieldwork and policy engagement across Africa and South Asia.

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Since 1975, IFPRI’s research has been informing policies and development programs to improve food security, nutrition, and livelihoods around the world.

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Where we work

IFPRI currently has more than 480 employees working in over 70 countries with a wide range of local, national, and international partners.

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partnerships

Guided by the belief that every life has equal value, the Gates Foundation works to help all people lead healthy, productive lives. In developing countries, the Foundation works with partners to create impactful solutions so that people can take charge of their futures and achieve their full potential. In the United States, it aims to ensure that everyone—especially those with the fewest resources—has access to the opportunities needed to succeed in school and life. Read more

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Projects

Fairgrounds: The Gateway to FAIR, Collaborative Agricultural Research

Fairgrounds: The Gateway to FAIR, Collaborative Agricultural Research

Fairgrounds is a collaborative, research platform redefining how agricultural data are accessed, shared, and applied. Built on FAIR principles (findable, accessible, interoperable, reusable), it connects……

Generative AI for Agriculture (GAIA) – Phase I & II

Generative AI for Agriculture (GAIA) – Phase I & II

Traditional agricultural advisory services face significant limitations in reaching smallholder farmers with timely, accurate information. Advancements in Large Language Models (LLMs) show potential for empowering……

Agrifood Investment Prioritization

Agrifood Investment Prioritization

This work is part of IFPRI’s ongoing country level-analyses to identify and rank agrifood investments based on their cost-effectiveness in achieving multiple development goals. Using……

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Publications

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Journal Article

Asking the right question: Toward a research agenda for responsible GAI in agricultural extension

2026Jones-Garcia, Eliot; Singaraju, Niyati; Davis, Kristin E.; Koo, Jawoo
Details

Asking the right question: Toward a research agenda for responsible GAI in agricultural extension

This study explores how generative AI (GAI) tools for agricultural extension can be designed and evaluated more responsibly. While current GAI systems offer scalable, personalized advice, they often ignore the lived realities of smallholder farmers—especially women—by relying on generic datasets and rigid evaluation metrics. We investigate three complementary methods: adversarial testing to expose gendered and contextual blind spots in model outputs; deliberative stakeholder engagement using the C-H-A-T framework, which focused on Collective knowledge, Human insight, Augmentation, and Trust, to surface value tensions and design trade-offs; and field-level insights from extension officers to uncover trust-building, diagnostic reasoning, and social intelligence absent from static GAI interactions. Together, these approaches reveal that responsible GAI requires more than technical accuracy. It demands participatory design processes that foreground user realities, surface stakeholder assumptions, and account for social and institutional context. We recommend developing gender-responsive benchmarks, embedding reflexive, participatory design methods, and modeling advisory reasoning based on real-world extension practice. The findings contribute to a growing agenda for responsible AI development—highlighting the importance of aligning GAI tools not only with technical goals, but with the social, cultural, and political contexts in which they operate.

Year published

2026

Authors

Jones-Garcia, Eliot; Singaraju, Niyati; Davis, Kristin E.; Koo, Jawoo

Citation

Jones-Garcia, Eliot; Singaraju, Niyati; Davis, Kristin E.; and Koo, Jawoo. 2026. Asking the right question: Toward a research agenda for responsible GAI in agricultural extension. Advancements in Agricultural Development 7(2): 35-49. https://doi.org/10.37433/aad.v7i2.633

Keywords

Gender; Women Farmers; Smallholders; Artificial Intelligence; Agricultural Extension; Evaluation

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.37433/aad.v7i2.633 Source record

Record type

Journal Article

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Journal Article

Systematic risk profiling: Assessing compounding economic risks in developing countries

2026Mukashov, Askar; Robinson, Sherman; Arndt, Channing; Thurlow, James; Thomas, Timothy S.
Details

Systematic risk profiling: Assessing compounding economic risks in developing countries

This paper presents a systematic risk profiling (SRP) framework to identify the most critical economic risks facing developing countries. Integrating computable general equilibrium (CGE) models with historical shock data and machine-learning tools, we examine how compound shocks affect development outcomes. We apply this method to Kenya, Rwanda, and Malawi, simulating thousands of plausible combinations of world price, capital flow, and productivity exogenous shocks and their impacts on countries’ GDP, household consumption, poverty, and undernourishment. The results reveal distinct risk profiles driven by structural differences: Kenya’s primary vulnerability is the volatility in global beverage crop prices, whereas Rwanda and Malawi face the highest risks from domestic root crop and cereal yields, respectively. These findings underscore that vulnerability is not just a function of shock magnitude, but of the specific structure of each economy. Specifically, the high economic volatility in Malawi and Rwanda is driven by the larger role of subsistence agriculture and more volatile domestic yields, whereas Kenya’s agricultural sector is more export-oriented. Unlike standard ad hoc scenario analysis, SRP quantifies both the likelihood of compound events and the relative importance of their drivers. This transparent, scalable framework provides policymakers a new tool to move beyond reactive measures and design targeted, country-specific resilience strategies for an increasingly volatile world.

Year published

2026

Authors

Mukashov, Askar; Robinson, Sherman; Arndt, Channing; Thurlow, James; Thomas, Timothy S.

Citation

Mukashov, Askar; Robinson, Sherman; Arndt, Channing; Thurlow, James; and Thomas, Timothy S. 2026. Systematic risk profiling: Assessing compounding economic risks in developing countries. Economic Modelling 157(April 2026): 107511. https://doi.org/10.1016/j.econmod.2026.107511

Country/Region

Kenya; Rwanda; Malawi

Keywords

Africa; Sub-saharan Africa; Eastern Africa; Climate; Computable General Equilibrium Models; Machine Learning; Risk; Uncertainty

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.1016/j.econmod.2026.107511 Source record

Project

Foresight

Record type

Journal Article

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Preprint

Inequity by design: Systematic appraisal of the (in)equities in agriculture-nutrition-health research practices

2026Manohar, Swetha; Sirwatka, Avery Quinn; Walton, Zip; Galaria, Alina; Smith, Peyton Ruth; Yates, Joe; Mthombeni, Andile; Sparling, Thalia; Ambikapathi, Ramya
Details

Inequity by design: Systematic appraisal of the (in)equities in agriculture-nutrition-health research practices

Research practices in agriculture, nutrition, and health (ANH) shape outcomes on food security and nutrition (FSN). Inequitable research practices reflect power imbalances between institutions and communities, privilege Global North institutions, and are linked to poor FSN outcomes. We used a systematic scoping review to map (in)equitable research practices across the ANH research continuum (from agenda-setting to dissemination, collaboration, funding, and authorship). From five databases, 572 articles met inclusion criteria. Fostering research partnerships and community engagement were the most discussed steps along the research continuum (40%). “Authentic partnering” and “inclusion” were the most emphasized equity principles. Over one-third of articles provided practical tools to promote equity-centered research, including frameworks for community engagement, collaborative funding models, and inclusive authorship practices. Findings reveal both a characterization of equity challenges in ANH research and emerging pathways toward more just practices. Making research practices more equitable will drive FSN actions toward better outcomes and just food systems transformations.

Year published

2026

Authors

Manohar, Swetha; Sirwatka, Avery Quinn; Walton, Zip; Galaria, Alina; Smith, Peyton Ruth; Yates, Joe; Mthombeni, Andile; Sparling, Thalia; Ambikapathi, Ramya

Citation

Manohar, Swetha; Sirwatka, Avery Quinn; Walton, Zip; Galaria, Alina; Smith, Peyton Ruth; et al. 2026. Inequity by design: Systematic appraisal of the (in)equities in agriculture-nutrition-health research practices. Research Square Preprint. https://doi.org/10.21203/rs.3.rs-8632071/v1

Keywords

Equity; Agriculture; Nutrition; Health; Research; Food Systems

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.21203/rs.3.rs-8632071/v1 Source record

Project

Transforming Agrifood Systems in South Asia

Record type

Preprint

Events

Release of the Social Accounting Matrix (SAM) for Ghana
IFPRI Program/Country Event

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August 24, 2023, 5:30 – 7:00 am

Release of the Social Accounting Matrix (SAM) for Ghana

Event: August 24, 2023 – 5:30 AM- 7:00 AM EDT. IFPRI is co-hosting the release of the Social Accounting Matrix (SAM) for Ghana under the Nexus Project in partnership with the Ghana Statistical Service and the Institute for Statistical, Social and Economic Research.

A Decade of the Women’s Empowerment in Agriculture Index (WEAI): Lessons from Using Empowerment Metrics
IFPRI Policy Seminar

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February 16, 2022, 9:30 – 11:00 am

A Decade of the Women’s Empowerment in Agriculture Index (WEAI): Lessons from Using Empowerment Metrics

Virtual Event: Feb 16, 2022 – 09:30 AM to 11:00 AM EST. This Special Event will reflect on what has been accomplished and learned by applying WEAI and pro-WEAI in diverse contexts.

Tackling child undernutrition at scale: Insights from national and subnational success cases
IFPRI Policy Seminar

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April 1, 2021, 9:30 – 11:00 am

Tackling child undernutrition at scale: Insights from national and subnational success cases

Virtual Event: APR 1, 2021 – 09:30 AM TO 11:00 AM EDT. Lessons from these deep research programs offer hope that big change is possible and provide specific direction for countries striving to accelerate progress on nutrition

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Blogs

How accurately do the large language models (LLMs) powering chatbots respond to questions on gender equality and women’s empowerment in Indian agriculture?
Research Post
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November 14, 2025

How accurately do the large language models (LLMs) powering chatbots respond to questions on gender equality and women’s empowerment in Indian agriculture?

By Marilia Magalhaes, Niyati Singaraju, and Jawoo Koo

A key issue for AI in extension services.

Growth monitoring and promotion as an opportunity to improve early childhood development
Research Post
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November 13, 2025

Growth monitoring and promotion as an opportunity to improve early childhood development

By Leila M. Larson, Edward A. Frongillo, Rebecca Brander, Marie Ruel, and Jef L. Leroy

Leveraging a widespread practice.

Screening for early childhood obesity: What can we learn from growth monitoring data?
Research Post
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October 22, 2025

Screening for early childhood obesity: What can we learn from growth monitoring data?

By Morgan Boncyk, Jef L. Leroy, Rebecca Brander, Leila M. Larson, Marie Ruel, and Edward A. Frongillo

Focusing on risks for children under 5.

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