PRSM: Participatory System Mapping
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Updated
Aug 23, 2025 - JavaScript
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
🌱 A qualitative and computational study using NLP on H2020 projects in the context of climate change
Utilizing machine learning to examine deforestation rates in the undeveloped region of Paraguay's Chaco
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
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
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!
NORmalising METeorology on air quality
Report for the National Board of Trade Sweden evaluating the impact of the EU-Ukraine free trade agreement on trade flows using a gravity model.
This project analyzes Brent oil prices from 1987-2022, detecting structural changes and associating them with major events to provide data-driven insights for the energy industry.
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