2018 WinnerRevealing informal food flows through free WiFi
The Inspire Challenge is an initiative to challenge partners, universities, and others to use CGIAR data to create innovative pilot projects that will scale. We look for novel approaches that democratize data-driven insights to inform local, national, regional, and global policies and applications in agriculture and food security in real time; helping people–especially smallholder farmers and producers–to lead happier and healthier lives.
This proposal was selected as a 2018 winner, with the team receiving 100,000 USD to put their ideas into practice.
Revealing informal food flows through free WiFi
Despite being the main source of fresh, convenient, and affordable food for 80% of Hanoi’s population, food flows within traditional markets remain largely invisible due to a lack of tracing systems and environmental conditions which make traditional tracking approaches challenging.
By providing free internet to a series of wholesalers and markets in the Cau Giay and Dong Anh districts of Hanoi, Vietnam, this project will put in place the first pieces of tracking system that will characterize and monitor food flows between traders, retailers, and consumers.
The collected food flow data will allow for improved linkages among key traditional market actors and help identify better policy and planning options for improving distribution channels in ways that benefits under-resourced communities.
Additionally, research has found that 10-40% of traditional market food is contaminated with microbes or parasites which cause foodborne illnesses. As shoppers become increasingly concerned about food safety and large-scale retailers that can offer food safety certification expand rapidly, this project aims to equip traditional market actors with data that could prevent their marginalization through urban policy decisions that may favor organized retailers, as well as improve the safety of traditional market goods.
To implement the project, partners CIAT and the General Statistics Office (GSO) of Vietnam will survey actors and track space and time data points on all devices within the range of the WiFi routers and signal amplifiers, whether connected to the internet or not.
The pilot system will run on three layers of data:
Nguyen Cong Thang | Email
Agriculture Department Vice-Director, General Statistics Office (GSO) of Vietnam
Stef De Haan | Email
Senior Scientist at CIAT
Louis Reymondin | Email
Scientist at CIAT
Dharani Burra | Email
Data Scientist at CIAT
Huong Pham Thi | Email
Research Assistant at CIAT
Ysabel Anne Lee | Email
Layer One: Smartphone
Every smartphone has a unique media access control (MAC) address that the WiFi routers installed in the markers will use to identify how many MAC addresses visit the markets over time, how many return to the market and how often, and how the two markets differ on these metrics. This data can be collected even if the smartphone is not connected to the WiFi network.
Layer Two: WiFi
When a smartphone user connects to the free WiFi, they will be prompted to answer a series of questions depending on their user type (vendor, customer, etc.). For example, a user that identifies as a vendor will be asked questions regarding sales of specific commodities which will allow for sales to be characterized across time and space.
Layer Three: Surveys
To validate findings in Layer One and Two, “flash” surveys will be conducted using standard survey instruments.
Step by step
Scoping study for markets
The traditional market system in Vietnam is quite diverse, divided in three types (type one: more than 400 stores, type two: more than 200 stores, and type three: less than 200 stores). A quick scoping study on markets was conducted in two districts in order to better understand market types and their management structures.
A kick-off meeting involves local partners, local authority, and market management boards. The purpose of the meeting is to get feedback of research using WiFi, which is considered quite new. Selection of five specific markets are discussed based on a set of criteria. Constraints during the implementation are also indicated and solutions are discussed in the meeting.
Router setup and WiFi installation
Data collection is carried out during this time.
The analysis expects to provide detailed network analysis of food flows at different scales for different markets as well as recommendations to policy makers related to market development.
US$125K scale-up grant
The project was awarded a 2019 Inspire Challenge Scale-up grant of US$125K at the third annual convention of the CGIAR Platform for Big Data in Agriculture, 16-18 October 2019.
A meeting is organized in order to get direct feedback from policy makers.