From unknowns to data-informed decisions: Machine learning to address climate change, food security & support farmers

With growing populations, increasing desertification, and a changing climate, sub-Saharan Africa faces rising food insecurity. Data – specifically granular data – is crucial to mitigating these challenges and supporting farmers. For much of the continent, however, gaps in existing data remain.

This session at ICTforAg 2022 co-created by Development Gateway and DevelopMetrics focused on ways machine learning can support decision-makers better plan investments and projects to improve outcomes, measure impact and reach goals.

Speakers:

  • Lindsey Moore, CEO, DevelopMetrics

  • David Guerena, Agronomist, QED

  • Charlene Migwe - Kagume, Senior Consultant, Development Gateway

  • Scott Wallace, Principal, Wallace & Associates

  • Dr. Mercy Ngunjiri, Agronomist and GIS Specialist, IFDC

  • Dr. Catherine Lilian Nakalembe, Associate Research Professor, University of Maryland

  • Ariel BenYishay, Chief Economist, AidData @ William and Mary

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