iHARP serves as a collaborative research hub integrating expertise in data science, Arctic and Antarctic science, and cyber infrastructure. It unites researchers across academia, government, and the private sector. Together, they create data-driven, physics-informed, machine learning approaches to reduce uncertainties in projections of future sea-level rise and climate change. They develop scalable algorithms that integrate satellite observations, atmospheric data, and subglacial topography to gain new insights into ice sheet dynamics. Additionally, the convergence team champions multiple clusters of research-integrated educational initiatives. These initiatives facilitate cross-disciplinary collaborations, train next-generation multidisciplinary researchers, broaden participation for underrepresented groups, and engage the public in scientific inquiry related to climate change and data science.