Using big data to understand marine social-ecological systems: challenges, opportunities, and frontiers
Contributed session - Approaches and methods for understanding social-ecological system dynamics
Room 21 (30)
11:30 - 13:00
Elena Finkbeiner, Stephanie Green
When combined with specific criteria for action, data science products – characterized by increased data volume and variety, and the velocity at which it is acquired –can help us understand key drivers of change and enable managers to better understand human-environment dynamics and make decisions. Yet applying data science to marine social-ecological systems has received relatively less attention compared with terrestrial systems to date. By bringing together a diverse group of leaders to discuss their perspectives and visions for the future of data science in an ocean context, this symposium seeks to advance our knowledge around leveraging big data to manage marine social-ecological systems. The session has been coordinated by the chairs, Angee Doerr and Lisa Wedding.
Michael Cox
Dartmouth College, Hanover, United States
Ratana Chuenpagdee 1, Maricela de la Torre Castro 2
1 Memorial University, St. John's, Canada, 2 Stockholm University, Stockholm, Sweden
Beatrice Crona
Global Economic Dynamics and the Biosphere, Royal Academy of Science, Stockholm, Sweden, Stockholm Resilience Center, Stockholm University, Stockholm, Sweden
Larry Crowder 1, Sara Maxwell 2
1 Center for Ocean Solutions, Stanford University, Monterey, CA 93940, Monterey, United States, 2 Old Dominion University, Norfolk, United States
Lisa Wedding, Angee Doerr
Center for Ocean Solutions, Stanford University, Monterey, United States