Do., 12. März
|HALLE7 in Basel
WITS International Women's Day 2026: Data. Design. Prevention.
How Technology Is Shaping the Future of Women's Health The response to WITS' Women's Health & AI panel at WEF Davos 2026 was extraordinary. Our community didn't want the conversation to end - they wanted it to go further. More technical. More specific. More actionable. We'll do exactly that in Basel
Time & Location
12. März 2026, 17:30 – 21:30
HALLE7 in Basel, Dornacherstrasse 192, 4053 Basel, Switzerland
About the event
How Technology Is Shaping the Future of Women's Health
The response to WITS' Women's Health & AI panel at WEF Davos 2026 was extraordinary. Our community didn't want the conversation to end - they wanted it to go further. More technical. More specific. More actionable.
That's exactly what we're designing for 12 March in Basel.
This is not a symbolic International Women's Day panel. It's a substantive working evening with expert keynotes, cross-disciplinary panel discussion, and curated networking, built for professionals across AI, biotech, health technology, and design who are actively shaping how technology serves women's health.
DATA — How are AI models trained and validated today? Where do critical blind spots persist in datasets? How does better data translate into measurable health improvements?
DESIGN — Who is assumed to be the default user when health technology is developed? Where is prevention built into the system — and where is it added later?
PREVENTION — Which health metrics are genuinely worth monitoring? What practical actions can professionals implement immediately? What can the women in this room start doing differently tomorrow?
Our approach is evidence-based, forward-looking, technically credible, and constructive. We connect system-level thinking with individual agency, ensuring every participant leaves with clearer thinking, better questions, and practical insights they can apply immediately.
The evening includes:
Opening remarks & framing
2 data-driven keynote presentations
Expert panel discussion: Data × Design × Prevention
Moderated audience Q&A
Networking apéro with curated connections
Who should attend:
You might be building health technology platforms, applying AI and machine learning in clinical practice, leading research in data science, or designing products that fundamentally shape health behaviour and outcomes. This evening is for experienced professionals invested in driving long-term systemic improvement.