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Near-real-time monitoring of food crisis risk factors for improved early warning early action


The most recent Global Report on Food Crises finds that 135 million people in 55 countries faced crisis level acute food insecurity in 2019 - driven by conflict, weather extremes, and economic shocks. With hunger on the rise, there is a clear need to improve early warning systems and other tools to prevent food crises. One way to do this is to improve and increase the use of real-time monitoring of food crisis risk factors in early warning early action systems. Real-time monitoring includes production-related information, climate and conflict data, price information, and other factors to identify the likelihood of acute food insecurity and help policy makers enact timely policy responses. It monitors actual developments and can be used to update assumptions, validate or change projections, and adjust programming quickly.

A recent Food Security Portal webinar took stock of the advances in real-time monitoring tools and approaches. In follow-up, this online discussion focuses on the next steps in improving, scaling up, and integrating real-time monitoring in existing early warning early action systems and policy responses to food crisis risk. Specifically, this discussion aims to share experiences related to the role of real-time monitoring in existing early warning systems, experiences in integrating real-time monitoring into existing monitoring platforms and tools, research in this area, and how to make real-time monitoring actionable by governments and regional institutions.

The purpose of the discussion:

This discussion in one in a string of policy dialogues organized by the Food Security Portal that seeks to catalyze research and policy efforts to utilize real-time monitoring in food crisis risk assessment and prevention. In partnering with the FSN Forum, the Food Security Portal would like to invite experts and stakeholder worldwide to share their experience with the use of early warning systems, their pros and cons, features and gaps. In addition, we would like to learn from your experiences in integrating early warning data into policy work and the challenges faced along the way.

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