Linking Transdisciplinary Data to Study the Long-Term Human Ecodynamics of the North Atlantic: The cyberNABO Project

• Main Authors: Strawhacker, Colleen (National Snow and Ice Data Center, University of Colorado Boulder), McGovern, Thomas (CUNY Human Ecodynamics Research Center (HERC)), Lethbridge, Emily (Centre for Medieval Studies, University of Iceland), Palsson, Gisli (Environmental Archaeology Lab and HUMLab, Umea Uni), Brin, Adam (Digital Antiquity, Arizona State University)
• Format: Dataset
• Language: unknown
• Published: the Digital Archaeological Record
• Subjects: Methodology, Theory, or Synthesis; North Atlantic; Data Discovery and Visualization; Long-Term Human Ecodynamics; Arctic; Greenland; Iceland
• Online Access: https://doi.org/10.6067:XCV8125VMP_meta$v=1471533049520

This is a copy of the PowerPoint presentation from the SAA Annual Meeting symposium. The cyberNABO Project is designed to solidify a developing multidisciplinary community (centered on the North Atlantic Biocultural Organization, NABO) through the development of cyberinfrastructure (CI) to study the long-term human ecodynamics of North Atlantic, a region that is especially vulnerable to ongoing climate and environmental change. It builds build upon prior sustained field and laboratory research, rich and diverse datasets, and a strong involvement by local communities and institutions. CyberNABO is currently hosting a series of workshops aimed at taking these collaborators and stakeholder communities to a new level of integration and to develop capacity for building CI and visualizations in subsequent funding cycles. Investing in a comprehensive CI system provides the opportunity to integrate collaborators and data from the natural sciences, social sciences, and the humanities, thus providing the opportunity for a holistic approach to long-term human ecodynamics in the context of rapid social and environmental change, and for the creation of digital tools for expanded northern community involvement in global change research. This presentation describes the ongoing efforts of the cyberNABO project, including initial data discovery and aggregation prototypes, as well as conceptual frameworks for how to best integrate diverse datasets.