Highlight: “Farming in Alaska is like farming on another planet” – Local Farmer working with the Permafrost Grown project. The Unseen Challenge Beneath Alaska’s Farms Rising temperatures, extended warm seasons, and a growing number of frost-free days are shifting the geographic range of crop cultivation, contributing to expanded agricultural activity across Alaska. Farming in remote… Read more »
About the Project The QGreenland project, funded by the National Science Foundation, is a mapping tool hosted by the National Snow and Ice Data Center (NSIDC) at the University of Colorado Boulder’s Cooperative Institute for Research in Environmental Sciences (CIRES). The free tool supports interdisciplinary Greenland-focused research, teaching, collaboration, and decision making by combining key… Read more »
“…when ice is present underground, it occupies space. The melting of this ice leads to ground subsidence, which creates issues such as coastal erosion, infrastructure instability, agricultural changes, landslides, and more.” Background and Research Expertise Like many researchers, Dr. Melissa Ward Jones found Arctic science by accident. As a first-generation college student and the… Read more »
Artificial intelligence (AI) and machine learning (ML) play an increasingly crucial role in Earth science teaching and research by accelerating large data analyses, data interpretation, enhancing predictive models, and making complex environmental processes more accessible to students and researchers alike. The NSF-funded Cyber2A project is a collaboration between Arizona State University (ASU), Woodwell Climate… Read more »
Background Born and raised in New England, Elias Manos was not familiar with the Arctic, but he had a deep interest in learning about this unfamiliar place. His academic background in geography more commonly dealt with geospatial data science, particularly analyzing satellite/aerial imagery with machine learning. While Manos was still an undergraduate, he began collaborating… Read more »
We are excited to announce the upcoming second “Scaling Impact: Co-Creating a Shared Framework for Teaching AI and Machine Learning with Applications in Arctic Research” workshop, to be held from October 20-24, 2025, in beautiful Santa Barbara, CA! Overview Artificial intelligence (AI) and machine learning (ML) play an increasingly crucial role in Earth science teaching and research… Read more »
Highlight: Permafrost thaw is expected to cost Alaska $37-51 billion in building and road damages by 2050 The Permafrost Discovery Gateway (PDG) is an online data visualization platform hosted by the Arctic Data Center that provides openly accessible permafrost conditions across the Arctic region for researchers, educators, and the public. The PDG leverages satellite imagery… Read more »
Computational models are growing in their capacity to consume large datasets and create complex, fine-scale outputs that sometimes reach multiple terabytes in size. Although in theory model output can be regenerated by re-running the model, doing so may require access to high-performance supercomputing, making reproduction costly and impractical. Therefore, when the model output data have… Read more »
Highlight: “Saunders emphasized the importance of having the work from her project funded and supported by the National Science Foundation and state agencies, highlighting the great value of investing in research like hers and resources like the ADC” Background and Research Expertise Prior to the Arctic, Taylor Saunders spent a few years immersed in the… Read more »
Highlight: “This course was an incredible opportunity to learn directly from the experts about best practices in scientific computing. It provided comprehensive training on data handling and computing – both training participants in fundamental coding skills and offering a broad survey of emerging trends in scalable computing. I now feel equipped to tackle bigger and… Read more »
