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Who we are

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

Ruth Meinzen-Dick

Ruth Meinzen-Dick is a Senior Research Fellow in the Natural Resources and Resilience Unit. She has extensive transdisciplinary research experience in using qualitative and quantitative research methods. Her work focuses on two broad (and sometimes interrelated) areas: how institutions affect how people manage natural resources, and the role of gender in development processes. 

Where we work

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Where we work

IFPRI currently has more than 600 employees working in over 80 countries with a wide range of local, national, and international partners.

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experts

Markets, Trade, and Institutions

Soonho Kim

Senior Data Manager

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Bio

Soonho Kim is a Senior Data Manager in the Markets, Trade, and Institutions Unit. Prior to joining IFPRI, Soonho worked as an Information Management Specialist in the Food and Agriculture Organization of the United Nations (FAO) for six years. She holds a BA in Agricultural Biology from Korea University, Seoul, Korea, and a MS in Microbiology from Seoul National University. She received a PhD in Agricultural and Biological Engineering (major) and Computer Science (minor) from the University of Florida.

Languages spoken: Korean, English

Publications

Publications

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Working Paper

Assessing the vulnerability of national food security to international food price shocks: A new index

2024Minot, Nicholas; Vos, Rob; Kim, Soonho; Park, Beyeong; Zaki, Sediqa; Mamboundou, Pierre
Details

Assessing the vulnerability of national food security to international food price shocks: A new index

Recent spikes in staple food prices resulting from the invasion of Ukraine have once again highlighted the difficulty faced by low-income countries that rely on imports for a substantial portion of their food supply. To better understand which countries are most affected by higher world food prices, we propose a food import vulnerability index (FIVI). One version of the index describes the vulnerability of each country to higher world prices for each of 15 major staple foods. Another version of the FIVI is a national index, aggregating across the 15 commodities. Both are based on three components, the caloric contribution of the commodity(ies) in the national diet, the dependence on imports, and the level of moderate and severe food insecurity in the country. The values of the FIVI are calculated for 2020, the most recent year for which data are available. The results indicate that countries are most adversely affected by increases in the world price of wheat, rice, and maize, followed by sugar, and vegetable oil. This is because the five commodities listed are both major contributors to the diet in many countries and because countries often depend on imports for a large share of the domestic requirements of these foods. Yemen, Djibouti, and Afghanistan are most vulnerable to increases in world wheat prices, while Liberia, Gambia, and Guinea-Bissau are particularly vulnerable to spikes in rice prices. In the case of maize, Zimbabwe, Lesotho, and Eswatini have the highest vulnerability score. These results should help policymakers and development partners target their efforts to reduce food import vulnerability through policies and programs to strengthen resilience.

Year published

2024

Authors

Minot, Nicholas; Vos, Rob; Kim, Soonho; Park, Beyeong; Zaki, Sediqa; Mamboundou, Pierre

Citation

Minot, Nicholas; Vos, Rob; Kim, Soonho; Park, Beyeong; Zaki, Sediqa; and Mamboundou, Pierre. 2024. Assessing the vulnerability of national food security to international food price shocks: A new index. IFPRI Discussion Paper 2243. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/140444

Keywords

Staple Foods; Food Prices; Ukraine; Less Favoured Areas; Vulnerability; Food Security; Imports; Price Volatility

Language

English

Access/Licence

Open Access

Source

Source record

Record type

Working Paper

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Brief

Increasing interoperability between food and agricultural information systems: CGIAR and FAO collaboration

2021
Arnaud, Elizabeth; Obileye, Olatunbosun; Bonaiuti, Enrico; Jani, Sara; Kim, Soonho; Laporte, Marie-Angélique; Muliro, Jacqueline; Saito, Erica; Yabowork, Abenet; Zúñiga, Araceli
…more Jeitani, Asma; Adepoju, Hafeez; Garruccio, Maria; Ghazali, Saadiah; Subbirats, Imma; Kolshus, Kristin
Details

Increasing interoperability between food and agricultural information systems: CGIAR and FAO collaboration

It is crucial that data resources can talk to each other through thesaurus, ontologies and standards. Therfore, the integration of CGIAR controlled vocabularynto the AGROVOC thesaurus is key to interlink our data sets and publications in the food and agricultural domain and produce multilingual quality labeling. The Task Group and a curation team defined the added value for the CGIAR to formally contribute to AGROVOC, and how to organize CGIAR contribution in a coherent workflow. The recommendations are the following: 1. One CGIAR needs to strengthen its contribution to AGROVOC thus supporting the consolidation of the semantic landscape for labeling data in agriculture and food systems. 2.CGIAR centers should wait a bit till the affiliation process is complete so that the appropriate unit that will be responsible for AGROVOC can consume the Agreement since the timeline for the affiliation process is just some few months away. 3.OneCGIAR data managers will have to sustain the collaboration and submit terms to populate the ONECGIAR concepts schema newly created to provide direct visibility of the set of concepts (https://agrovoc.fao.org/skosmosOneCGIAR/cgiar/en/ ). Based on the collaboration concrete results, The TG recommends that the term submission effort and collaboration with FAO continues with proper allocation of data managers’ time and a training plan. Contribution to AGROVOC should be part of the data managers ToRs to concrete provide recognition of this role.

Year published

2021

Authors

Arnaud, Elizabeth; Obileye, Olatunbosun; Bonaiuti, Enrico; Jani, Sara; Kim, Soonho; Laporte, Marie-Angélique; Muliro, Jacqueline; Saito, Erica; Yabowork, Abenet; Zúñiga, Araceli; Jeitani, Asma; Adepoju, Hafeez; Garruccio, Maria; Ghazali, Saadiah; Subbirats, Imma; Kolshus, Kristin

Citation

Arnaud, E.; Obileye, O.; Bonaiuti, E.; Jani, S.; Kim, S.; Laporte, M.-A.; Muliro, J.; Saito, E.; Yabowork, A.; Zúñiga, A.; Jeitani, A.; Adepoju, H.; Garruccio, M.; Ghazali, S.; Subbirats, I.; Kolshus, K. 2021. Increasing interoperability between food and agricultural information systems: CGIAR & FAO collaboration. Rome: Platform for Big Data in Agriculture.

Keywords

Data; Indexing of Information; Ontologies; International Organizations; Collaboration; Access to Information; Databases; Information Services; Indización De La Información; Ontología; Organizaciones Internacionales

Language

English

Access/Licence

Open AccessCC-BY-4.0

Source

Source record

Project

Big Data

Record type

Brief

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Journal Article

The ontologies community of practice: a CGIAR initiative for Big Data in agrifood systems

2020
Arnaud, Elizabeth; Laporte, Marie-Angélique; Kim, Soonho; Aubert, Céline; Leonelli, Sabina; Miro, Berta; Cooper, Laurel D.; Jaiswal, Pankaj; Kruseman, Gideon K.; Shrestha, Rosemary
…more Buttigieg, Pier Luigi; Mungall, Christopher J.; Pietragalla, Julian; Agbona, Afolabi; Muliro, Jacqueline; Detras, Jeffrey; Hualla, Vilma; Rathore, Abhishek; Das, Roma Rani; Dieng, Ibnou; Bauchet, Guillaume J.; Menda, Naama; Pommier, Cyril; Shaw, Felix; Lyon, David; Mwanzia, Leroy; Juarez, Henry; Bonaiuti, Enrico; Chiputwa, Brian; Obileye, Olatunbosun; Auzoux, Sandrine; Yeumo, Esther Dzalé; Mueller, Lukas A.; Silverstein, Kevin; Lafargue, Alexandra; Antezana, Erick; Devare, Medha; King, Brian
Details

The ontologies community of practice: a CGIAR initiative for Big Data in agrifood systems

Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and agrifood systems requires quality data labeling or annotation in order to be interoperable. As recommended by the FAIR principles, data, labels, and metadata must use controlled vocabularies and ontologies that are popular in the knowledge domain and commonly used by the community. Despite the existence of robust ontologies in the Life Sciences, there is currently no comprehensive full set of ontologies recommended for data annotation across agricultural research disciplines. In this paper, we discuss the added value of the Ontologies Community of Practice (CoP) of the CGIAR Platform for Big Data in Agriculture for harnessing relevant expertise in ontology development and identifying innovative solutions that support quality data annotation. The Ontologies CoP stimulates knowledge sharing among stakeholders, such as researchers, data managers, domain experts, experts in ontology design, and platform development teams.

Year published

2020

Authors

Arnaud, Elizabeth; Laporte, Marie-Angélique; Kim, Soonho; Aubert, Céline; Leonelli, Sabina; Miro, Berta; Cooper, Laurel D.; Jaiswal, Pankaj; Kruseman, Gideon K.; Shrestha, Rosemary; Buttigieg, Pier Luigi; Mungall, Christopher J.; Pietragalla, Julian; Agbona, Afolabi; Muliro, Jacqueline; Detras, Jeffrey; Hualla, Vilma; Rathore, Abhishek; Das, Roma Rani; Dieng, Ibnou; Bauchet, Guillaume J.; Menda, Naama; Pommier, Cyril; Shaw, Felix; Lyon, David; Mwanzia, Leroy; Juarez, Henry; Bonaiuti, Enrico; Chiputwa, Brian; Obileye, Olatunbosun; Auzoux, Sandrine; Yeumo, Esther Dzalé; Mueller, Lukas A.; Silverstein, Kevin; Lafargue, Alexandra; Antezana, Erick; Devare, Medha; King, Brian

Citation

Arnaud, E.; Laporte, M.-An.; Kim, S.; Aubert, C.; Leonelli, S.; Miro, B.; Cooper, L.; Jaiswal, P.; Kruseman, G.; Shrestha, R.; Buttigieg, P.L.; Mungall, C.J.; Pietragalla, J.; Agbona, A.; Muliro, J.; Detras, J.; Hualla, V.; Rathore, A.; Das, R.R.; Dieng, I.; Bauchet, G.; Menda, N.; Pommier, C.; Shaw, F.; Lyon, D.; Mwanzia, L.; Juarez, H.; Bonaiuti, E.; Chiputwa, B.; Obileye, O.; Auzoux, S.; Yeumo, E.D.; Mueller, L.A.; Silverstein, K.; Lafargue, A.; Antezana, E.; Devare, M.; King, B. The ontologies community of practice: a CGIAR initiative for Big Data in agrifood systems. Patterns 1:100105. 12 p. ISSN: 2666-3899

Keywords

Control Systems; Access to Information; Information Technology; Data Collection; Sistemas De Controlo; Acceso a La Informatión; Tecnología De La Inforatión; Ontology; Agriculture; Agrifood Systems; Crop Production; Breeding; Phenotypes; Genotypes; Ontologies; Data; Food Systems; Cgiar; Bibliographic Information; Semantic Standards; Labelling; Knowledge; Big Data; Linked Open Data; Capacity Development

Language

English

Access/Licence

Open AccessCC-BY-NC-ND-4.0

Links

https://doi.org/10.1016/j.patter.2020.100105 Source record

Project

Roots, Tubers and Bananas

Record type

Journal Article

Blogs

Long-lasting devastation to livelihoods from damage to agricultural lands in Gaza
IFPRI Blog
 | 
February 20, 2024

Long-lasting devastation to livelihoods from damage to agricultural lands in Gaza

By Rob Vos and Soonho Kim

The humanitarian crisis continues to worsen.

Despite improved global market conditions, high food price inflation persists
IFPRI Blog
 | 
December 04, 2023

Despite improved global market conditions, high food price inflation persists

By Rob Vos, Joseph Glauber, Soonho Kim, and Will Martin

Continuing pressures on food security in low- and middle-income countries.

End of the Black Sea Grain Initiative: Implications for sub-Saharan Africa
IFPRI Blog
 | 
August 07, 2023

End of the Black Sea Grain Initiative: Implications for sub-Saharan Africa

By Joseph Glauber, Soonho Kim, Elsa Olivetti, and Rob Vos

What may happen as trade in wheat and other commodities is interrupted again.

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Events

ICTforAg 2024: Localizing impact
IFPRI at External Event

 | 

May 28, 2024, 9:00 – 5:00 pm

ICTforAg 2024: Localizing impact

Event: May 28, 2024 – 9:00am to 5:00pm EDT. This event explores the localization of ICT, responsible AI in agriculture, the potential for AI to increase farm profitability, empowering citizen science, and harnessing digital solutions for sustainable and regenerative farming practices.

CGIAR Platform for Big Data in Agriculture 2020
IFPRI at External Event

 | 

October 19 to 23, 2020

CGIAR Platform for Big Data in Agriculture 2020

IFPRI is participating in the CGIAR Big Data Platform Conference on October 19-23, 2020. The need for resilient food systems comes into stark relief during a crisis. Responses must be agile and adaptive, facilitating the quickest possible recovery while equipping these systems to adaptively manage or avert crises in the future. The event theme, Digital […]

Big Data Agriculture Convention 2019: Trust: Humans, Machines & Ecosystems
IFPRI at External Event

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October 16 to 18, 2019

Big Data Agriculture Convention 2019: Trust: Humans, Machines & Ecosystems

IFPRI is co-organizing the 2019 Big Data in Agriculture Convention. Building resilient global food security requires us to navigate a complex net of interactions between the biosphere, economy, technology, and society. Machines and machine-to-machine systems shape and accelerate our social and economic lives, even as climates and ecosystems may seem destined to continue on a […]

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