Global Network x FAO x UN Datathon Webinar
Unlocking food and agriculture microdata through the FAM Catalogue

24 Oct 2023
08:30 - 09:30 (EDT) / 14:30 - 15:30 (CEST)



During this joint webinar by the UN Global Network of Data Officers and Statisticians, the Food and Agriculture Organization (FAO) of the UN, and the UN Datathon 2023 we are happy to welcome Aida Khalil, Oluwakayode Anidi, and Max Shang from FAO who will talk about how to unlock food and agriculture microdata through the FAM Catalogue.

The Food and Agriculture Microdata (FAM) Catalogue was launched by the FAO in 2019 to promote increased access to food security, nutrition, and agriculture-related microdata. As of today, the FAM Catalogue hosts over 1,300 surveys and censuses, providing easy access to their relevant documentation, metadata and, in most cases, microdata. Primarily targeted to FAM current and potential users, the webinar will focus on the Catalogue's main features, its publication workflow and supporting technologies, and on the different microdata access modalities in place. During the webinar the presenters will also illustrate some of the datasets available on FAM that could be used in the context of the UN Datathon 2023. To browse the full catalogue, please follow this link.


Aida Khalil

Statistician, FAO

Aida Khalil is a Statistician with the Office of the Chief Statistician of the FAO. In this role, she coordinates activities related to the FAO Food and Agriculture Microdata Catalogue and conducts methodological work in the field of data disaggregation and progress assessment of SDG indicators under FAO custodianship. Her areas of expertise include household and agricultural surveys design and implementation, microdata dissemination and small area estimation.

Oluwakayode Anidi

Statistician, FAO

Oluwakayode Anidi is a Statistician with the Office of the Chief Statistician of the FAO, working in the area of data dissemination. His main role involves the curation, anonymization, and dissemination of microdata on FAO’s Food and Agriculture Microdata Catalogue. He is also involved in conducting user consultation surveys for different FAO databases and is contributing to the establishment of a Statistical database warehouse to integrate different FAO databases.

Max Shang

Statistician, FAO

Max Shang is a Statistician with the Office of the Chief Statistician of the FAO. His responsibilities encompass microdata anonymization and data visualization for the SDG indicators. Additionally, he is involved in the development of shiny apps designed to automate the calculation of SDG indicators and monitor progress towards SDG targets. Prior to joining the FAO, Max worked for the University of Guelph in Canada as senior research associate. His past research work has been published in leading academic journals including Canadian Journal of Agricultural Economics and Computational Statistics. He holds a Ph.D. in Food, Agricultural and Resource Economics from the University of Guelph.