An agent-based model to evaluate fiscal redistribution among municipalities

PRSM: Participatory System Mapping

This program generates cyber attack scenarios for use in cyber training exercises, red team planning, blue team planning, automated attack execution, and cybersecurity policy analysis.

POST 8000 (Foundations of Social Science Research for Public Policy) is a class I teach at Clemson University

Agent-based Model (ABM) using MASON for land use and policy simulations

Utilizing machine learning to examine deforestation rates in the undeveloped region of Paraguay's Chaco

Watal Report Feedback microsite

Government Satisfaction Analysis Framework

NORmalising METeorology on air quality

My solution of a simple Reinforcement learning problem

Creates mock properties and simulates LUP based on forestry regulations

COVPOL: An agent-based model of the international COVID-19 policy response

This is an agent-based simulation model created for evaluating the effect of demand response on the self-sufficiency and expenditure on electricity import for the modeled community.

🌱 A qualitative and computational study using NLP on H2020 projects in the context of climate change

This project analyzes greenhouse gas emissions data by country over the years. The goal is to identify trends and patterns in emissions across different nations, providing insights into the global distribution of greenhouse gas emissions.

This is the final project of PPOL 670: Data Science for Public Policy at Georgetown University.

Topic model of policy papers on artificial intelligence

The pilot project was a part of virtual internship by codebasics

School Corporation Opportunity Score (SCOscore) for the schools in Indiana, accounting for structural factors and academic acheivement.