March 22, 2024, 4:43 a.m. | Jordi Cerd\`a-Bautista, Jos\'e Mar\'ia T\'arraga, Vasileios Sitokonstantinou, Gustau Camps-Valls

cs.LG updates on arXiv.org arxiv.org

arXiv:2310.11287v2 Announce Type: replace
Abstract: In the face of climate change-induced droughts, vulnerable regions encounter severe threats to food security, demanding urgent humanitarian assistance. This paper introduces a causal inference framework for the Horn of Africa, aiming to assess the impact of cash-based interventions on food crises. Our contributions include identifying causal relationships within the food security system, harmonizing a comprehensive database including socio-economic, weather and remote sensing data, and estimating the causal effect of humanitarian interventions on malnutrition. On …

abstract africa arxiv causal causal inference change climate climate change cs.lg face food framework humanitarian impact inference paper security threats type vulnerable

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Principal Data Engineering Manager

@ Microsoft | Redmond, Washington, United States

Machine Learning Engineer

@ Apple | San Diego, California, United States