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With research staff from more than 60 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

Elodie Becquey

Elodie Becquey is a Senior Research Fellow in the Nutrition, Diets, and Health Unit, based in IFPRI’s West and Central Africa office in Senegal. She has over 15 years of research experience in diet, nutrition, and food security in Africa, including countries such as Burkina Faso, Chad, Ethiopia, Ghana, Kenya, Mali, and Tanzania.

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Foresight and Policy Modeling

Zhe Guo

Senior GIS Coordinator

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Bio

Zhe Guo is a Senior GIS Coordinator with the Foresight and Policy Modeling Unit, and is based at IFPRI-Washington, DC.

Publications

Publications

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Report

Advanced spatial analytics for policy support: Use cases from One CGIAR

2025
Song, Chun; Cenacchi, Nicola; Chamberlin, Jordan; Diao, Xinsheng; Gebrekidan, Bisrat; Ghosh, Aniruddha; Gonzalez, Carlos; Gotor, Elisabetta; Guo, Zhe; Lenaerts, Bert
…more Mbabazi, Gloria; Mishra, Abhijeet; Mkondiwa, Maxwell; Mwungu, Chris; Otieno, Felix; Pede, Valerian; Petsakos, Athanasios; Robertson, Richard D.; Thomas, Tim; Wanjau, Agnes; Yego, Francis; You, Liangzhi; Zhou, Shuang
Details

Advanced spatial analytics for policy support: Use cases from One CGIAR

The CGIAR Science Program on Policy Innovations (“Policy Program”) is committed to driving transformation across Food, Land, and Water (FLW) systems. Identifying viable policies and investment options through Foresight and Prioritization exercises (Area of Work 1) is key to reaching this goal. However, prioritizing interventions that are relevant to local needs and conditions, while addressing global drivers and megatrends that affect FLW systems across different scales remains a challenge. This report seeks to address this challenge. It demonstrates how spatial analytics, a fast-evolving field that sits at the intersection of economics, public policy, geography, and data science, can provide actionable policy insights. It also aims to equip policymakers and partners with advanced and accessible spatial analytical tools to design and implement tailored policies, investments and programs. The report starts by providing a unified framework that brings together diverse spatial analytics approaches to support policy. It reviews the evolution of spatial analytics, spanning geographic information systems (GIS), spatial economics, and economic models with spatially explicit inputs and outputs. It also introduces a taxonomy of building blocks to illustrate how different spatial tools and methods can address various policy questions. This report draws on 11 use cases from across CGIAR centers in which spatial analytics have been applied to inform policies across Africa, Asia, and Latin America. It demonstrates how spatial analytics can identify priority intervention areas and appropriate actions at the local level while accounting for global drivers. Key challenges in scaling spatial analytics for policy application are also identified, including data gaps, methodological complexities, and computational constraints. The report concludes by outlining future directions to fully leverage spatial analytics for policy support. This report aims to advance the integration of spatial analytics across disciplines and scales, enabling the translation of local spatial patterns into regional and global policy frameworks. The curated use cases show that spatial analytics is no longer a niche technical exercise, but an operational tool that facilitates FLW systems transformation towards desirable futures. By systematically linking spatial heterogeneity to multi-scale policy needs, spatial analytics can generate actionable and scalable insights for policy development and implementation

Year published

2025

Authors

Song, Chun; Cenacchi, Nicola; Chamberlin, Jordan; Diao, Xinsheng; Gebrekidan, Bisrat; Ghosh, Aniruddha; Gonzalez, Carlos; Gotor, Elisabetta; Guo, Zhe; Lenaerts, Bert; Mbabazi, Gloria; Mishra, Abhijeet; Mkondiwa, Maxwell; Mwungu, Chris; Otieno, Felix; Pede, Valerian; Petsakos, Athanasios; Robertson, Richard D.; Thomas, Tim; Wanjau, Agnes; Yego, Francis; You, Liangzhi; Zhou, Shuang

Citation

Song, C.; Cenacchi, N.; Chamberlin, J.; Diao, X.; Gebrekidan, B.; Ghosh, A.; Gonzalez, C.; Gotor, E.; Guo, Z.; Lenaerts, B.; Mbabazi, G.; Mishra, A.; Mkondiwa, M.; Mwungu, C.; Otieno, F.; Pede, V.; Petsakos, A.; Robertson, R.; Thomas, T.; Wanjau, A.; Yego, F.; You, L.; Zhou, S. (2025) Advanced spatial analytics for policy support: Use cases from One CGIAR. Montpellier (France): CGIAR. 84 p.

Keywords

Food Systems; Sustainable Development; Geographical Information Systems; Spatial Analysis; Public Policies

Language

English

Access/Licence

Open AccessCC-BY-4.0

Source

Source record

Project

Foresight

Record type

Report

Resource thumbnail

Journal Article

Exploring women’s dietary diversity amidst climate variability: A comparative analysis across eight low- and middle- income countries

2025Carducci, B.; Benedict, R.; Corrigan, J.; Mayala, B.; Namaste, S.; Bilotto, F.; Cao, P.; Herrero, M.; Guo, Zhe; Fanzo, J.
Details

Exploring women’s dietary diversity amidst climate variability: A comparative analysis across eight low- and middle- income countries

It is anticipated that climate change and climate variability will threaten food and nutrition security through multiple pathways, yet evidence on its impact on minimum dietary diversity for women (MDD-W),especially in low- and middle- income countries (LMICs) is limited. Using Bayesian hierarchical statistical modeling, we analyzed the impacts of climate variability on MDD-W, of 142 484 non-pregnant women, aged 15–49 years, in eight LMICs (Burkina Faso, Cambodia, Cˆote d’Ivoire, Ghana, Kenya, Mozambique, Nepal and Tanzania). All analyses were adjusted for survey weights and sampling design and analyzed separately. The proportion of women achieving MDD-Wtheprevious day of the survey ranged between 20.8% and 57.3%. In the full model, enabling variables including climate change and variability generally showed significant negative associations with MDD-W (precipitation and land surface temperature anomalies, daytime and nighttime long-term land surface temperature variability), whereby the adjusted odds of women’s dietary diversity was reduced by 9%–37% due to climatic variables. Underlying variables such as growing season, nutrient yield and enhanced vegetation index had limited associations across countries. In fact, for nutrient yields, the direction of association differed by country and nutrients. Immediate variables were significantly positively associated with MDD-W in almost all countries with an adjusted odds of women’s dietary diversity increasing by 6%–92%, including household wealth (n = 8), women’s media access (n = 8), women’s education (n = 7), improved sanitation and women’s employment (n = 5) and women’s landownership (n = 3). The month of the survey was associated with MDD-W in four countries, but the direction of association varied by country. These findings suggest that safeguarding women’s diet diversity from climate change requires adaptation efforts that target vulnerable populations to ensure nutrition.

Year published

2025

Authors

Carducci, B.; Benedict, R.; Corrigan, J.; Mayala, B.; Namaste, S.; Bilotto, F.; Cao, P.; Herrero, M.; Guo, Zhe; Fanzo, J.

Citation

Carducci, B; Benedict, R; Corrigan, J; Mayala, B; Namaste, S; Bilotto, F; Cao, P; et al. 2025. Exploring women’s dietary diversity amidst climate variability: A comparative analysis across eight low- and middle- income countries. Environmental Research Letters 20(9): 094005. https://doi.org/10.1088/1748-9326/adf128

Keywords

Climate Change; Climate Variability; Dietary Diversity; Less Favoured Areas; Women

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.1088/1748-9326/adf128 Source record

Record type

Journal Article

Resource thumbnail

Brief

Advancing climate-smart financial solutions for smallholder farmers: Lessons from the CGIAR Climate Resilience Initiative

2024
Timu, Anne G.; Laborte, Alice; Attoh, Emmanuel M. N. A. N.; Kikulwe, Enock; Kiundu, Paul; Guo, Zhe; Mayanja, Brian; Mbithi, Anthony; Sartas, Murat; Vyas, Shalika
…more You, Liangzhi
Details

Advancing climate-smart financial solutions for smallholder farmers: Lessons from the CGIAR Climate Resilience Initiative

Smallholder farmers in low- and middle-income countries face climate-related risks that increase their income volatility and compromise their well-being. The CGIAR Initiative on Climate Resilience (ClimBeR) has developed and implemented a suite of innovative instruments aimed at transforming the climate adaptation capacity of smallholder farmers. This brief examines the potential of these bundled financial solutions in enhancing smallholder farmers’ resilience to climate risks and documents ClimBeR’s experience in implementing and scaling these instruments.

Year published

2024

Authors

Timu, Anne G.; Laborte, Alice; Attoh, Emmanuel M. N. A. N.; Kikulwe, Enock; Kiundu, Paul; Guo, Zhe; Mayanja, Brian; Mbithi, Anthony; Sartas, Murat; Vyas, Shalika; You, Liangzhi

Citation

Timu, A, G., Laborte, A., Attoh, E., Kikulwe, E., Kiundu, P., Guo, Z., Mayanja, B., Mbithi, A., Sartas, M., Vyas, S., You, Liangzhi. 2024. Advancing climate-smart financial solutions for smallholder farmers: Lessons from the CGIAR Climate Resilience Initiative. https://hdl.handle.net/10568/169396

Country/Region

Kenya; Philippines; Zambia; Ethiopia

Keywords

Climate Change Adaptation; Finance; Economics

Language

English

Access/Licence

Open AccessCC-BY-4.0

Source

Source record

Project

Climate Resilience

Record type

Brief

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