Investigation of factors associated with food insecurity using multi-objective optimization and graphs

• Grant number: 24/16994-0
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: November 01, 2024
• End date: July 31, 2025
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Alexandre Cláudio Botazzo Delbem
• Grantee: Eric Keiji Tokuda
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated research grant: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry, AP.CEPID

Abstract

We aim to identify factors associated with Food Insecurity using heterogeneous data from multiple sources and graph modeling. The proposed methodology includes data collection and pre-processing, exploratory analysis and the application of complex network techniques to identify patterns and relationships between variables. In addition, statistical and machine learning models will be used to deepen the analysis. The activity schedule is distributed over nine months, with specific steps for each phase of the project, from the literature review to the dissemination of results and public policy proposals. This plan aims to provide a structured and detailed approach to investigating Food Insecurity, using advanced techniques for a deeper understanding of the factors involved. Finally, the candidate intends to carry out a technical visit in Brazil or abroad at a center of research excellence to be defined according to the methodological demands in the development of the project.