Abstract submission will be opening March 31, 2025!
We will be accepting submissions on these themes:
Polar Modelling and Spatial Data
This session invites submissions on GIS, remote sensing, numerical modelling, and data integration to improve understanding of polar environments. Topics include geospatial analysis, predictive modelling, interoperability challenges, large-scale dataset management, and visualizing polar science. We welcome case studies on modelling permafrost, sea ice, and glacial dynamics, as well as innovative approaches to spatial data discovery. Share your work on leveraging spatial tools to advance polar science and improve data accessibility for research and decision-making.
Machine Learning / Artificial Intelligence
Artificial intelligence and machine learning are increasingly becoming essential tools to process and understand the deluge of data coming from in-situ and remotely operated sensors, earth observation satellites, and models. This session invites submissions that explore data storage and interoperability, training data and algorithms, processing tools and platforms, computational resources, and learning management and visualization approaches that enable the use of artificial intelligence and machine learning with polar data. In addition, submissions are encouraged that explore the legal and ethical issues concerning the use of artificial intelligence in a polar context.
International Collaboration
This session invites submissions that explore innovative approaches to fostering international cooperation in polar data collection, sharing, and management. As polar regions face rapid environmental and geopolitical changes, effective collaboration across nations, disciplines, and institutions is essential to advancing research, policy, and decision-making.
Vocabularies and Semantic Interoperability
This session invites submissions focused on the practical use of Controlled Vocabularies, Glossaries, Thesauri, Taxonomies, and Ontologies to improve data organization, accessibility, and interoperability. We seek case studies and discussions on adopting, aligning, and applying established semantic resources to enhance research workflows. Whether you are mapping datasets to existing frameworks or leveraging ontologies for metadata standardization, we encourage contributions that demonstrate real-world applications and challenges. Share your experiences in utilizing these tools to make polar data more discoverable and usable.
Data Storytelling
This session invites submissions focused on data storytelling and science communication. As the climate crisis continues to become more urgent, particularly in polar regions, and with misinformation and disinformation on the rise, it is critical that we are able to communicate complex scientific data to a wide audience. We encourage contributions that describe best practices, challenges, success stories, and innovative methods for sharing data and engaging audiences.
Community-Led Research and Indigenous Data Sovereignty
This session invites submissions related to Community-Led Research (CLR) and Indigenous Data Sovereignty (IDS). CLR refers to projects that are designed, conducted, or analyzed by members of the community in the project area. CLR ensures that the knowledge produced is grounded in the experiences, priorities, and cultural understandings of the community. IDS emphasizes the rights of Indigenous people to control, govern and make decisions about data related to them, as well as ensuring that Indigenous peoples are supported in the collection, management and use of their data in ways that are culturally appropriate and beneficial to their community. IDS and CLR are closely related, one leading into the other, both approaches centering the rights and leadership of Indigenous communities around the generation, use and ownership of knowledge and data.
Open Science
Open Science is a movement to make the entire research process more accessible and reproducible, including input data, analysis methods, results, and the dissemination and reception of those results. Infrastructure and standards have an important and increasing role to play in supporting open and reproducible science at each stage of the research life cycle. This session invites submissions on tools, infrastructure and standards that enable the various aspects of open science, such as collaboration tools, research registries, the discovery and interoperability of methods and data, analysis code and workflows, results repositories, and dissemination and communication. In addition, submissions are encouraged that explore the benefits and barriers to acceptance of open science in the polar community.
Other
This session invites submissions that don’t align with the specific themes outlined, but that still pertain to important aspects of polar data. We encourage submissions related to emerging topics, interdisciplinary approaches or unique perspectives on polar data. Presentations in this category may include, but are not limited to: Innovative methodologies for polar data collection and analysis and challenges in polar data accessibility. Presenters are encouraged to be creative and inclusive in exploring new and diverse areas or research.