Crowdsourcing

What is Crowdsourcing ?

Crowdsourcing is a data sourcing model based on volunteer citizens’ (“the crowd”) contributions. In crowdsourcing, the task is outsourced to “the crowd” which is formed through an open call to an undefined and generally large group of people, often with a promise of a “reward” in exchange of a successful completion of data collection task (Howe, 2006). Therefore, this crowdsourcing task aims to ‘gather timely, accurate, cost-efficient and high-frequency food price data at several stages of the food chain in developing countries’.

Scope and Objective

The areas targeted are Kano, Katsina, Kaduna, and Lagos States, in Nigeria, and the specific purpose of the food price crowdsourcing are:

1. To test and validate a methodology that was collaboratively developed for collecting and processing commodity food prices in near-real-time, while generating reliable insights and indices on food price dynamics

2. To conduct a food chain case study in the selected areas for a reduced number of commodities (Maize, Rice, Cowpea, Garri, and Soybeans)

3. To evaluate potential for engaging motivated volunteers, with or without incentives, for the purpose of identifying food price triggers and generating relevant spatially-rich data for market-related early warning systems

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