Yana Samuel
Papers
1
Total Citations
14
H-Index
1
About
Yana Samuel is a researcher dedicated to understanding and advancing women’s participation in the technology-driven workforce. Her work centers on the critical intersection of gender, education, and emerging technologies, including big data, analytics, robotics, and artificial intelligence. In her most-cited paper, “Beyond STEM, How Can Women Engage Big Data, Analytics, Robotics and Artificial Intelligence?” (2020, 14 citations), Samuel conducts an exploratory analysis of the confidence and educational factors that influence women’s roles in these rapidly evolving fields. She identifies persistent barriers—such as low self-efficacy and limited access to specialized training—that contribute to the underrepresentation of women, despite the growing demand for tech talent. By highlighting these systemic challenges, Samuel’s research provides actionable insights for educators, policymakers, and industry leaders seeking to foster more inclusive innovation ecosystems. Her work is notable for bridging the gap between STEM education discourse and the specific demands of the fourth industrial revolution, making a compelling case for targeted interventions to empower women in the digital age. Samuel’s contributions are essential reading for anyone interested in equity, workforce development, and the future of technology.
Research Focus
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Top Papers
- 1