Topic model of policy papers on artificial intelligence
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Updated
Nov 10, 2024 - Jupyter Notebook
Topic model of policy papers on artificial intelligence
PRSM: Participatory System Mapping
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.
NORmalising METeorology on air quality
🌱 A qualitative and computational study using NLP on H2020 projects in the context of climate change
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 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.
Example of an analysis-in-box using UN population data for EDA
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.
COVID 19 Policy Analysis
School Corporation Opportunity Score (SCOscore) for the schools in Indiana, accounting for structural factors and academic acheivement.
COVPOL: An agent-based model of the international COVID-19 policy response
The code in this repository draws on results from the Global Healthy and Sustainable Cities Indicator Collaboration Study to generate policy 'scorecard' reports.
Utilizing machine learning to examine deforestation rates in the undeveloped region of Paraguay's Chaco
Creates mock properties and simulates LUP based on forestry regulations
The pilot project was a part of virtual internship by codebasics
This is the final project of PPOL 670: Data Science for Public Policy at Georgetown University.
Agent-based Model (ABM) using MASON for land use and policy simulations
A study of interrupted time series for policy analysis. Based on the UBCx course on edX.
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