DATASET

FPCA-II. Food Price Crowdsourcing Africa-expansion

Collection: DATAM : Data/Modelling platform of resource economics 

Description

Timely and reliable monitoring of commodity food prices is an essential requirement for assessing market and food security risks and establishing early warning systems, especially in developing economies. However, data from regional or national systems for tracking changes in food prices in sub-Saharan Africa lacks the temporal or spatial richness and is often insufficient to inform targeted interventions. In addition to limited opportunity for [near-]real-time assessment of food prices, various stages in the commodity supply chain are mostly unrepresented, thereby limiting insights on stage-related price evolution. Yet, governments and market stakeholders rely on commodity price data to make decisions on appropriate interventions or commodity-focused investments. Recent rapid technological development indicates that digital devices and connectivity services are becoming affordable for many, including in remote areas of developing economies. This offers a great opportunity for harvesting price data (via new data collection methodologies, such as crowdsourcing/crowdsensing — i.e. citizen-generated data — using mobile apps/devices) and disseminating it (via web dashboards or other means) in real-time. This real-time data can support decisions at various levels and related policy-making processes. However, market information that aims at improving the functioning of markets and supply chains requires a continuous data flow as well as quality, accessibility and trust. More data does not necessarily translate into better information. Citizen-based data-generation systems are often confronted by challenges related to data quality and citizen participation, which may be further complicated by the volume of data generated compared to traditional approaches. Following the food price hikes during the first noughties of the 21st century, the European Commission's Joint Research Centre (JRC) started working on innovative methodologies for real-time food price data collection and analysis in developing countries. The work carried out so far includes a pilot initiative to crowdsource data from selected markets across several African countries, two workshops (with relevant stakeholders and experts), and the development of a spatial statistical quality methodology to facilitate the best possible exploitation of geo-located data. Based on the latter, the JRC designed the Food Price Crowdsourcing Africa (FPCA) project and implemented it initially within two states in Northern Nigeria, then expanded to two further states. The FPCA is a credible methodology, based on the voluntary provision of data by a crowd (people living in urban, suburban, and rural areas) using a mobile app, leveraging monetary and non-monetary incentives to enhance contribution, which makes it possible to collect, analyse and validate, and disseminate staple food price data in real time across market segments. The granularity and high frequency of the crowdsourcing data open the door to real-time space-time analysis, which can be essential for policy and decision making and rapid response on specific geographic regions.

Contact

Email
jrc-datam (at) ec.europa.eu

Contributors

How to cite

Solano Hermosilla, Gloria; Adewopo, Julius; Gorrín González, Celso Jesús; Micale, Fabio; Arbia, Giuseppe; Nardelli, Vincenzo (2021): FPCA-II. Food Price Crowdsourcing Africa-expansion. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/f3bc86b0-be5f-4441-8370-c2ccb739029e

Keywords

crowdsourcing food naira nigeria PANAP price prices

Data access

Step 2. FPCA
Download 
  • Dataset - bulk download - zip file with CSV inside

Step 3 SPS. FPCA
Download 
  • Dataset - bulk download - zip file with CSV inside

Step 3 GPS Agg. FPCA
Download 
  • Dataset - bulk download - zip file with CSV inside

Step 3 GPS Agg. FPCA
URL 
  • Dataset - Interactive download - CSV format

Step 2. FPCA
URL 
  • Dataset - Interactive download - CSV format

Step 3 SPS. FPCA
URL 
  • Dataset - Interactive download - CSV format

Food Price Crowdsourcing in Africa (FPCA)
URL 
  • Project website explaining the methodology and how to contribute as a price observer.

FPCA. R programming
URL 
  • R programming code for updating and expanding to new regions and other data the real-time quality check algorithms and procedure for crowdsourced price data

Publications

Publication
Using crowd-sourced data for real-time monitoring of food prices during the COVID-19 pandemic: Insights from a pilot project in northern Nigeria
Adewopo, J., Solano Hermosilla, G., Colen, L. and Micale, F., Using crowd-sourced data for real-time monitoring of food prices during the COVID-19 pandemic: Insights from a pilot project in northern Nigeria, GLOBAL FOOD SECURITY-AGRICULTURE POLICY ECONOMICS AND ENVIRONMENT, ISSN 2211-9124 (online), 29, 2021, p. 100523, JRC121667.
Publication
Increasing engagement in price crowdsourcing initiatives: using nudges in Nigeria
Solano Hermosilla, G., Barreiro Hurle, J., Adewopo, J. and Gorrin Gonzalez, C., Increasing engagement in price crowdsourcing initiatives: using nudges in Nigeria, WORLD DEVELOPMENT, ISSN 0305-750X (online), 152, 2022, p. 105818, JRC120152.
Publication
A quality approach to real-time smartphone and citizen-driven food market price data
Solano Hermosilla, G., Adewopo, J., Peter, H., Barreiro Hurle, J., Arbia, G., Nardelli, V., Gorrin Gonzalez, C., Micale, F. and Ceccarelli, T., A quality approach to real-time smartphone and citizen-driven food market price data, EUR 30027 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-14305-5 (online),978-92-76-20599-9 (print), doi:10.2760/366116 (online),10.2760/120193 (print), JRC119273.
Publication
Crowdsourced data reveals threats to household food security in near real-time during COVID-19 pandemic
URL 

Geographic areas

Nigeria

Temporal coverage

From date To date
2021-01-01 2021-12-31

Additional information

Published by
European Commission, Joint Research Centre
Created date
2023-01-05
Modified date
2023-01-05
Issued date
2021-04-01
Landing page
https://datam.jrc.ec.europa.eu/ 
Language(s)
English
Data theme(s)
Agriculture, fisheries, forestry and food, Economy and finance
Update frequency
continuously updated
Identifier
http://data.europa.eu/89h/f3bc86b0-be5f-4441-8370-c2ccb739029e
Popularity