A curated list with description of usual problems in developing countries and how to solve them with AI, ML, IOT, AR/VR, Data Analytics and other common tech buzzwords of 2017. A good contribution to this repo and turning that into reality might make a hungry kid without parents an MIT professor someday, you never know !

This repository is for the research project: Climate change and poverty. Please cite my paper using the link below if you use any of its materials.

A global north-south income convergence model with emission implications

End-to-End Python implementation of Azcue et al.'s (2025) stochastic optimal control framework for social protection policy design. Solves PDMP-based Hamilton-Jacobi-Bellman equations using analytical closed-form solutions and Monte Carlo simulation to minimize government intervention costs (through the use of cash transfers and microinsurance).

Implement a Q-learning algorithm to optimize resource allocation for poverty alleviation programs.

An exploratory data analysis of Philippine poverty data. Data includes given 1991-2015 data, appended FIES 2018 & 2021 data, and 2024 & 2027 poverty estimates calculated using ARIMA.