covid19

Data analysis of the 2020 COVID-19 pandemic

Getting Started

See this issue to get started

Git Help

Git is hard. Here's a nice cheatsheet for the git commands you need to run as you are working:

https://chendaniely.github.io/training_ds_r/help-faq.html#general-workflow

You will mainly be using the "General workflow" and "Get changes from master on your branch" sections.

Datasets

The Call to action and Kaggle datasets:

• White House Call to Action
• Kaggle Dataset
• Allen Institute Semantic Scholar Dataset

Download data

See this issue to download the kaggle dataset

What are we working on?

This issue links to the initial student project proposals. But they can also be found in the analysis/db/*/README.md files

Update instructions

Update the conda environment

Run the conda environment update commands with:

conda activate db_covid19
conda env update --file environment.yml

There's a make target for you to make this easier: make update_env

Update your code/repository

Before you start on a new branch, make sure your repository is updated with the lastest master code:

git checkout master
git pull origin master

The Makefile

The Makefile is a convenient way to execute a bunch of commands, you can run make all or simply make and it will give you a print out of the targets and what they do.

Team

Introduce yourself here

Fall 2020

• Project Lead: Daniel Chen: PhD student at Virginia Tech in GBCB studying data science and data literacy education in medical, biomedical, and health sciences.

• Loveish Sarolia: Sophomore student at Virginia Tech majoring in Computational Modeling and Data Analytics as well as Economics. Interested in economic analysis and blockchain development.

Summer 2020

• Project Lead: Daniel Chen: PhD student at Virginia Tech in GBCB studying data science and data literacy education in medical, biomedical, and health sciences.

• Molecular Dynamics Lead: Kelsie King: Masters student in the Virginia Tech Department of Biochemistry using computational methods to inform drug discovery for amyloid diseaes.

• Makhsuda Ibragimova: Undergraduate student at Virginia Tech majoring in CMDA. Doing research on energy sources and having zoom meetings every day :). Interested in doing research about COVID-19.

• Loveish Sarolia: Rising Sophomore student at Virginia Tech majoring in Computational Modeling and Data Analytics as well as Economics. Interested in economic analysis and blockchain development.

• Asha Cheruvu: Senior undergraduate student at Virginia majoring in Computational Modeling and Data Analytics (CMDA) and Computer Science (CS). Experience with building software and performing data analysis, and interested in applying these skills to researching COVID-19.

Spring 2020

• Project Lead: Daniel Chen: PhD student at Virginia Tech in GBCB studying data science and data literacy education in medical, biomedical, and health sciences.

• Molecular Dynamics Lead: Kelsie King: Masters student in the Virginia Tech Department of Biochemistry using computational methods to inform drug discovery for amyloid diseases.

• Makhsuda Ibragimova: Undergraduate student at Virginia Tech majoring in CMDA. Doing research on energy sources and having zoom meetings every day :). Interested in doing research about COVID-19.

• Ben Rayden: Junior at Virginia Tech majoring in CMDA.

• Chrissi Taylor: First-year student at Virginia Tech majoring in CMDA. Familiar with Python and interested in Machine Learning.

• Somya Jain: Freshman at Virginia Tech majoring in CMDA.

• Mitch Dolby: Freshman at Virginia Tech currently majoring in Geography. Interested in geospatial sciences.

• Loveish Sarolia: Freshman student at Virginia Tech majoring in Computational Modeling and Data Analytics as well as Economics. Interested in economic analysis and blockchain development.