iHARP is launching its first-ever Technical Workshop Series. The two part workshop series is led by faculty/research experts and intended to introduce student researchers to fundamental concepts in Polar Science (part one) and Artificial Intelligence (A.I.) (part two), thus increasing their knowledge and amplifying their understanding on how to integrate AI/ML methods to address interdisciplinary scientific problems. The workshop structure is designed to promote engagement and enhance learning outcomes through collaboration between faculty/research experts and students, serving as workshop co-facilitators.
Polar Science Series
iHARP’s 1st Technical Workshop Series focusing on Polar Science aims to introduce students and other researchers in computing, physics, geology, earth science, and environmental science disciplines to fundamental concepts in Polar Science. The overarching objective is to build upon foundational knowledge, specifically in the following topics: Atmospheric Science, Ocean Science, Ice Sheets, Sea Ice, Reanalysis (ERA5), Data Simulation and Emulators, and Climate Modeling. Each workshop structure is also designed to foster collaboration between faculty/research experts and PhD students to serve as co-facilitators, where we will learn more about best practices, lessons learned, research gaps, and new directions.
Check more about Polar Series here
Artificial Intelligence Series
iHARP’s 2nd Technical Workshop Series focusing on Artificial Intelligence aims to introduce students and other researchers in computing, polar/environmental science, and social science disciplines to fundamental concepts in Artificial Intelligence. The overarching objective is to build upon foundational knowledge, specifically in the following topics: Self-Supervised Learning, Reproducible AI (Using GitHub and Version Control), Foundational Models in AI, Generative AI, Explainable AI, Physics-Informed AI, and Foundations of Large Language Models. Each workshop structure is also designed to foster collaboration between faculty/research experts and PhD students to serve as co-facilitators, where we will learn more about best practices, lessons learned, research gaps, and new directions.
Last updated February 27, 2026