Gender diversity
Gender inequality remains a major challenge in machine learning HPC.
The WeatherGenerator Project is committed to actively addressing this imbalance through concrete, sustained action over the entire project duration.
Key Gender & Diversity Actions:
Visibility: We’re celebrating and promoting our diverse team of scientists via dedicated communications-including research bios, videos, and comics.
Networking: Gender Equality Workshops will help empower junior researchers through networking discussions on allyship.
Mentoring: A structured mentorship programme offers all new team members the choice of male or female mentors from within or outside the consortium.
Community Support: We’ll actively engage with initiatives like Women in HPC, WiML, and Pride in STEM, promoting job opportunities and encouraging participation in their events.
Awareness & Accountability: The project will monitor gender representation, participation throughout the project and biases in datasets.
