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
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
Government Satisfaction Analysis Framework
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.
The concentration effect of limits on campaign donations
NORmalising METeorology on air quality
MSc_dissertation_code
To test whether the economic theory for imports, real GDP and relative prices holds in real life scenario, this study analyses the extent of association between the variables through regression analysis. The paper can be used to assess the difference in impact of global events on GDP and import volume.
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.
Agent-based Model (ABM) using MASON for land use and policy simulations
This study will be an attempt to analyze what impact minimum wage has upon youth unemployment in Pakistan, a country having the world's ninth largest labor force, with 4 million young people reaching working age each year, and how it compares to the required living wage.
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.
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