Government Satisfaction Analysis Framework
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Updated
Aug 18, 2017 - Python
Government Satisfaction Analysis Framework
The concentration effect of limits on campaign donations
My solution of a simple Reinforcement learning problem
MSc_dissertation_code
An agent-based model to evaluate fiscal redistribution among municipalities
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
A tool for a dictionary-based textual analysis of job portal data.
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 study of interrupted time series for policy analysis. Based on the UBCx course on edX.
Agent-based Model (ABM) using MASON for land use and policy simulations
This is the final project of PPOL 670: Data Science for Public Policy at Georgetown University.
The pilot project was a part of virtual internship by codebasics
Creates mock properties and simulates LUP based on forestry regulations
Utilizing machine learning to examine deforestation rates in the undeveloped region of Paraguay's Chaco
The code in this repository draws on results from the Global Healthy and Sustainable Cities Indicator Collaboration Study to generate policy 'scorecard' reports.
COVPOL: An agent-based model of the international COVID-19 policy response
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