PRSM: Participatory System Mapping
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Updated
May 24, 2024 - 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
COVPOL: An agent-based model of the international COVID-19 policy response
PrivacyHub.in is an open-source initiative by privacypriority.org aimed at promoting transparency and accountability in the digital realm.
Government Satisfaction Analysis Framework
My solution of a simple Reinforcement learning problem
Creates mock properties and simulates LUP based on forestry regulations
The concentration effect of limits on campaign donations
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.
Utilizing machine learning to examine deforestation rates in the undeveloped region of Paraguay's Chaco
MSc_dissertation_code
This is the final project of PPOL 670: Data Science for Public Policy at Georgetown University.
School Corporation Opportunity Score (SCOscore) for the schools in Indiana, accounting for structural factors and academic acheivement.
The pilot project was a part of virtual internship by codebasics
The code in this repository draws on results from the Global Healthy and Sustainable Cities Indicator Collaboration Study to generate policy 'scorecard' reports.
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