Destigmatizing Remote Data Collection Quality

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This event was a session at the Food Security COVID-19 Learning Event.

During COVID-19 much of the data collection was moved remotely out of necessity. Unfortunately, there is still a stigma in the way of bias and limitations to this data collection technique, while many of the benefits are ignored. This collaborative session focuses on destigmatizing remote data collection through techniques gained through field experiences and implementing partners. Additionally, a better understanding and explanation of the benefits and limitations or biases implicit in remote data collection is discussed as well as working to demystify some common misconceptions around remote data collection quality. Finally, we discuss how much of the private sector already operates in the context of remote data collection and what the humanitarian sector can gain from their knowledge. 

Speaker

Rossella Bottone, Vulnerability Analysis Advisor, United Nations World Food Programme

Currently based in the Panama Regional office, Rossella Bottone has more than 15 years of experience in the Humanitarian sector and she is an expert in emergency food security assessments, vulnerability surveys, and data analysis in support of early warning and emergency preparedness. She has worked in Nepal, Guatemala, Haiti, Senegal, DRC, Italy, and has conducted needs assessments for WFP in more than 20 countries in Latin America and Africa. Rossella holds a Master Degree in International Cooperation from the University of Pavia (Italy) and is currently pursuing a Master in Humanitarian Action from SOAS (University of London).