This is the webapp for my investigation of the Israeli academic science community.

There are three sections

1. mobility - where researchers graduated with their PhD and where they got a tenure position currently only for physics and chemistry.
2. women - women in STEM fields in different institutes
3. graduation - graduation trend by degrees, institute, and sex (men/women as data only available for that)
4. network - network analysis of mobility data, under construction

The project is written in english because streamlit doesn't natively support right-to-left, and I really don't want to write the website with their HTML api.

Folder Structure

• data/ you will find all relevant data for figure generation
• pages/ strucutre and code for streamlit page generation
• scripts/ scripts used in the pages
• text/ text files for the pages to draw from so that pages won't be too crowded
• in_progress/ pages I'm thinking to add but aren't really active work

To locally install and run the applet:

1. clone the repository
2. create and activate a virtual environment python -m venv venv then source venv/bin/activate
3. install requirements: pip inatall -r requierments.txt
4. run the applet streamlit run home.py

And you're good to go.

Pull requests are welcome. For major changes, please open an issue first to discus the change you want to make.

Statistical analysis is gathered in the data/ folder, while the code for the webapp is located at pages/

Please make sure to write tests as appropriate, I (Avishai) didn't do the proper and appropriate work so there are currently no tests.

Contributors names and contact info

Avishai Barnoy @avishai231

This project is licensed under the MIT License - see the LICENSE.md file for details.