Strengthening Arctic Research Through Open Data and Collaboration Toolik Field Station has long been a hub for Arctic research. Located in Alaska’s Brooks Range and operated by the Institute of Arctic Biology at the University of Alaska Fairbanks with support from the U.S. National Science Foundation, Toolik hosts hundreds of scientists each year who come… Read more »
Background and Research Expertise Dr. Lilly Parker is a research scientist at the Laboratories of Molecular Anthropology and Microbiome Research (LMAMR) at the University of Oklahoma where she focuses on ancient DNA, mammalian diversity, conservation genomics, and human-mammal relationships. Her work in the Arctic began during her NSF Office of Polar Programs postdoctoral fellowship at… Read more »
About the Project The National Science Foundation announced the 10 Big Ideas for Future NSF Investments in 2016, a strategic set of long-term research priorities aimed at catalyzing bold advances in science and engineering. Among them was the Navigating the New Arctic (NNA) program, an initiative designed to tackle one of the most urgent and… Read more »
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 »
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 »
