Women represent only 22% of data and AI roles and contribute just 3% of Python commits, leaving a “missing 78%” of untapped talent and perspective. This imbalance isn’t just a diversity issue — it risks embedding bias into the foundations of AI and scientific Python.

Attendees will learn:

• Why inclusive design is critical for sustainable growth in AI/Python communities
• The data-driven lessons from a 179% membership surge in one day
• Practical, actionable strategies to apply the VIM framework in their own projects