🦜 PARAT: CSET's Private-sector AI-Related Activity Tracker

This repository contains the code that generates PARAT.

• company_linkage contains the code that generates the data behind PARAT: company resolution across datasets, publication counts, etc.

• web contains the code that generates the PARAT website from the company_linkage data.

Setup

The project python dependencies are listed in requirements.txt. Before running code in this repo:

1. Make a new virtualenv:

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

2. export GOOGLE_APPLICATION_CREDENTIALS=<path to your credentials> - a service account json. You should have at`` least BQ reader permissions, if you are a CSET user. If you are not a CSET user, then you will not be able to run some of this code as-is, since it depends on our internal BigQuery datasets. Please contact us if you are interested in collaborating or spot any issues.

3. Install and run the web interface