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.

An agent-based model to evaluate fiscal redistribution among municipalities

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

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

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

Open-source & decentralized AI initiative to analyze policies, simulate fair solutions, and empower global governance with transparency.

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

A comprehensive analysis of income inequality in Colombia using the 2024 GEIH dataset. This repository includes data processing, descriptive statistics, visualizations, and policy-oriented insights into socioeconomic disparities across regions and social classes.

My solution of a simple Reinforcement learning problem

Creates mock properties and simulates LUP based on forestry regulations

Government Satisfaction Analysis Framework

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

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.

Comprehensive analysis of spatial distribution equity of athletic facilities in New York City

CaLPA-AI: California Legislative Policy Analysis Repository

NORmalising METeorology on air quality

Implementation of an interactive chatbot for summarizing legal and policy documents. Includes data preprocessing (cleaning, tokenization, chunking), extractive summarization baselines, and fine-tuned abstractive models (PEGASUS and LED). Integrates a retrieval layer for document relevance and uses ROUGE, BLEU, and cosine similarity for evaluation.

An ETL pipeline (and REST API web server) implementation that ingests bulk data (such as CSV files from UK censuses) to produce a single stats lookup table with OA (output area) resolution; queryable by OA, LSOA (lower-layer super output area), MSOA (middle-layer super output area), LAD (local area district), or postal code.

End-to-end Medallion Architecture on Microsoft Fabric for tracking the U.S. government’s 2020 critical minerals: automated pipeline ingests raw CSVs into Lakehouse, PySpark builds a star schema, a lake-based semantic model with DAX & RLS delivers curated data, and Power BI dashboards visualize insights. Contributions welcome!