The term "gender balance" refers to an equitable distribution of life's opportunities and resources between women and men, and/or the equal representation of women and men. In science and academia inequalities exist in different career stages from postgraduate level to top-tier academia.
This work aims to create a gender balance observatory on scientific research, by exploring curated data extracted from Google Scholar. More specifically, we created a web application that visualizes the analysis made on data collected for some faculty members, in order to be presented and emphasized the inequality of the two genders, in academia.
1. Univeristy of Porto
2. University of Bordeaux
3. University of Oulu
4. University of Lodz
5. University of Bochum
6. Aristotle University of Thessaloniki
sudo docker run -it --rm --publish=7474:7474 --publish=7687:7687 --user="$(id -u):$(id -g)" -e NEO4J_AUTH=none --env NEO4JLABS_PLUGINS='["graph-data-science"]' neo4j:4.2
pip install -r webapp/requirements.txt
python 3 dataset/databaseLoading.py
./start-flask-app.sh