SOURCE-LINKED INTELLIGENCE
Women Entrepreneurs for STEM
epreneurship from among European female graduates and postgraduates within STEM, strengthens their entrepreneurial intention and points them to digital entrepreneurial education. Using data analysis, machine learning tools and Educational Technology we contribute to improving the profile matching that connects female graduates and postgraduates within STEM to entrepreneurship and uses algorithms to match between learner profile and intervention. We believe the intervention can significantly contribute to improving European economic competitiveness, strengthening human capital, and promoting gender equality within STEM entrepreneurship. Entrepreneurship; Women Entrepreneurs; Character Computing; Entrepreneurial Education; STEM
Read original source ↗ Open in workspace
- recordType
- award
- status
- TERMINATED
- region
- EU
- value
- 561200
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.