COVID Info Commons Data Science Project – Analyzing Pandemic Responses

Analyzing Pandemic Responses Project

Project Description

Through this project, students will learn how to analyze government policy responses to the COVID-19 pandemic. We will use the extensive Oxford COVID-19 Government Response Tracker (OxCGRT) dataset to perform our analysis. Students will learn new skills, practice advanced quantitative and qualitative methods, and uncover evidence-based insights that illuminate effective strategies for future pandemics. The dataset’s complexity offers immense potential to identify and understand the most impactful policies in managing global health crises.

This is a great opportunity for STEM learners and researchers of all academic backgrounds to learn new skills in a friendly and supportive environment! The project was designed for beginner to intermediate data science learners. We expect that participants may spend between 3 to 6 hours per week on the project, depending on their interest and level of experience.

Learn more about the COVID Information Commons (CIC) Student Working Group, including future projects and examples of submitted student projects on the CIC website.


Oxford Covid-19 Government Response Tracker (OxCGRT)

Relevant Skills You May Apply

Data cleaning and integration, Basic data analysis skills

Skills You May Gain

Exploratory data analysis (EDA), Time series analysis, Geospatial analysis, Machine learning basics (optional), Data visualization, Data storytelling

Total Time

Approximately 15 hours


Milestone 1: Project Kick-off, Data Exploration, and Cleaning
Milestone 2: Applying Analytical Strategies
Milestone 3: Testing Other Data Analysis Tools/Model Optimization
Milestone 4: Advanced Visualization and Storytelling
Milestone 5: Final Analysis and Documentation


Deliverables include a final data visualization and 1-2 page summary of your research insights.