T-304B-10
Conclusion and Panel Discussion of ‘Big Data Science'

Tuesday, August 19, 2014: 11:50 AM
304B (Centre des congrès de Québec // Québec City Convention Centre)
Michael E. Douglas , Biological Sciences, University of Arkansas, Fayetteville, AR
Marlis R. Douglas , Biological Sciences, University of Arkansas, Fayetteville, AR
The symposium highlighted the potentials and challenges provided by ‘Big Data Science’ and how these may transform both research and education in and fisheries management and biodiversity investigations. Case studies illustrated pertinent research questions currently being explored using available and/ or emerging approaches. Novel methods were highlighted and promising analytical developments presented. Speakers and symposium attendees are now invited to participate in a horizon-scan discussion so as to evaluate the current state of the field and to plot potential trajectories. Speculation, wild ideas, and flights of fancy are of course encouraged, as long as they are grounded in some form of alternate reality.