Nowcasting food insecurity interest with google trends data
This research explores the potential of Google Trends (GT) data as a tool for generating a daily index of food insecurity at the national level, focusing on regions monitored by the Famine Early Warning Systems Network (FEWS NET) and the Global Fragility Act (GFA). Drawing inspiration from previous...
| Autores principales: | , , |
|---|---|
| Formato: | Conference Paper |
| Lenguaje: | Inglés |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/149276 |
Ejemplares similares: Nowcasting food insecurity interest with google trends data
- ICTforAg 2024: Virtual day session. Monitoring food security trends in digital spaces: A multi-platform approach to nowcast food insecurity
- A multi-platform framework for nowcasting social phenomena: A case study for food insecurity
- Digital artifacts reveal development and diffusion of climate research
- Social Media Analysis: CGIAR Climate Security Observatory
- Text mining and machine learning reveal global determinants of food insecurity
- High-frequency monitoring enables machine learning–based forecasting of acute child malnutrition for early warning
