Big Data Science and Its Impacts on Fish Conservation and Management, Part 1

Monday, August 18, 2014: 1:30 PM-5:20 PM
304B (Centre des congrès de Québec // Québec City Convention Centre)
This is the first symposium jointly organized by the American Fisheries Society (AFS) and the American Society of Ichthyologists and Herpetologists (ASIH). The two societies share common interests in conserving and managing fish biodiversity and in applying these results to educate the public, stakeholders, and the next generation of aquatic scientist. A closer relationship between the two societies, to include joint efforts, will broaden and extend their global outreach particularly relating to future impacts of climate change, water development projects and its associated impacts on aquatic food webs and sustainable global fisheries. Concomitant with this evolving collaboration is a recognition that the era of “big data science” has now arrived, with massive data production a result of technological advances, analytical approaches, hardware development, and how these cross-pollinate as tech sectors. Because it is so new, academia is scrambling to define and develop a representative curriculum that will cut across statistical, analytical, computer IT and mathematical disciplines. Its impacts are immense, so much so that big data is literally transforming biodiversity conservation and management by generating more information than can be easily and efficiently analyzed. Thus, the intent of this symposium is not only to bookmark our current location within this data stream (i.e., questions that can be profitably addressed) but also to generate an horizon scan of expected objectives/ limitations and how we should prepare the next generation of aquatic biologist. Symposium participants will examine data science from different vantage points, to include molecular ‘omics, IT-landscapes, and Tree of Life endeavors. Speakers will offer a mix of case studies where such approaches are used as well as a perspective on how the field will be transformed within the next 10 years.
Moderators:
Marlis R. Douglas and Michael E. Douglas
Chairs:
Marlis R. Douglas and Michael E. Douglas
Organizers:
Marlis R. Douglas and Michael E. Douglas
Moderators:
Marlis R. Douglas
Email: mrd1@uark.edu

Michael E. Douglas, PhD
Email: med1@uark.edu

Chairs:
Marlis R. Douglas
Email: mrd1@uark.edu

Michael E. Douglas, PhD
Email: med1@uark.edu

Organizers:
Marlis R. Douglas
Email: mrd1@uark.edu

Michael E. Douglas, PhD
Email: med1@uark.edu

1:30 PM
Introduction to the ‘Big Data Science' Symposium
Marlis R. Douglas, University of Arkansas; Michael E. Douglas, University of Arkansas

1:50 PM
Swimming in Big Data: Using Network Analysis to Predict the Spread of Invasive Fishes
Stephanie Melles, University of Toronto; Cindy Chu, University of Toronto; Karen Alofs, University of Toronto; Donald A. Jackson, University of Toronto

2:10 PM
Airsbase: A Blastable Database of DNA Sequences for Species Detection, and Population, Phylogeographic and Phylogenetic Caracterization of Aquatic Invasive and Rare Species
Tim L. King, U.S. Geological Survey; John Miller, Penn State University; Aaron Aunins, Cherokee Nation Technology Solutions; Jay Stauffer Jr., Pennsylvania State University; James Grazio, Department of Environmental Protection

2:30 PM
How to Use Reduced-Representation Genomic Methods to Estimate Contemporary Effective Population Size
Ryan Waples, University of Washington; Wesley Larson, University of Washington; Robin Waples, NOAA Fisheries / Northwest Fisheries Science Center

2:50 PM
Monday Afternoon Break


3:40 PM
Diploidization without Genome Reduction? Insights from Sturgeon
Jennifer Eichelberger, Southern Illinois University; Timothy King, U. S. Geological Survey; Edward Heist, Southern Illinois University

4:20 PM
The National Stream Internet Project
Daniel Isaak, US Forest Service; Erin Peterson, CSIRO; Dave Nagel, US Forest Service; Jay Ver Hoef, NOAA; Jeffrey L. Kershner, US Geological Survey

4:40 PM
Long-Lived Iteroparous Species, Ecological, Demographic and Genetic Complexity: Acquisition, Management and Analytical Challenges Associated with Big Data
Kim T. Scribner, Michigan State University; Edward A. Baker, Michigan Department of Natural Resources; Kari Dammerman, Michigan State University; John Bauman, Michigan State University; Nathan Barton, Michigan State University; Terence Marsh, Michigan State University

5:00 PM
Ecological and Population Genetic Assessments of Entire Fish Communities Using Environmental DNA and Next-Generation Sequencing: Case Studies in the Great Lakes
Carol A. Stepien, The University of Toledo; Carson Prichard, The University of Toledo; Thomas Blomquist, The University of Toledo

See more of: Symposium Proposals