Microsoft Research (AI for Good Lab) (2022) Working paper / technical note

Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi

Microsoft Research

Ref: SRC-004-MWI-002

https://www.microsoft.com/en-us/research/publication/food-security-analysis-and-forecasting-a-machine-learning-case-study-in-southern-malawi/

Accessed: 3/24/2026

Summary

Microsoft Research publication page for the Gholami et al. (2022) paper. Confirms full author list (9 authors including Microsoft AI for Good Lab staff), research group affiliation (AI For Good Lab), and project context (Fundamental Rights - AI for Good). Provides PDF download link and BibTeX citation.

View Harvard reference

Microsoft Research (2022) 'Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi', Microsoft Research Publications. Available at: https://www.microsoft.com/en-us/research/publication/food-security-analysis-and-forecasting-a-machine-learning-case-study-in-southern-malawi/ (Accessed: 24 March 2026).

Attached File

FILE

SRC-004-MWI-002_Can_Better_Data_Help_Policy-Makers_and_Communities_Build_Resilience.html 75 KB

Download

Linked Cases (1)

MWI-002 MWI Pilot / Controlled Trial Phase

MIRA – Machine Learning Food Security Forecasting for Anticipatory Action (Southern Malawi)

Social assistance Classical ML