Interdisciplinary Approaches to High School Data Science

In an era when data drives decisions and innovation, equipping young people to harness the power of data is not just a choice but a necessity. This session aimed to inspire educators, policymakers, and stakeholders to embrace the idea of introducing data science education in high schools. Whether offered as math classes or through other disciplines, high school data science courses promote interdisciplinary learning by integrating mathematics, statistics, computer programming, predictive analytics, data visualization, and artificial intelligence with discipline-specific knowledge. They also emphasize ethical data use through discussions about responsible data collection, privacy, and bias mitigation, shaping responsible and conscientious future leaders.