Statistical Tools for Better Understanding Marine Life
Webinar Presented By: Professor Joanna Mills Flemming, Department of Mathematics and Statistics, Dalhousie University
Speaker Bio: Joanna Mills Flemming is a Professor in the Department of Mathematics and Statistics at Dalhousie University. Her research interests centre on the development of statistical methodology for data exhibiting spatial and/or temporal dependencies with a particular interest in what is important for marine ecology, and more broadly, fisheries science.
Joanna holds a B.Sc. in Mathematics, Statistics and Computer Science (1995) from the University of Guelph, an M.Sc. in Applied Mathematics (1997) from the Technical University of Nova Scotia, and a Ph.D. in Statistics (2000) from Dalhousie University. She also completed a postdoctoral fellowship in the Department of Econometrics at the University of Geneva (2002-2004). In 2013, she was the recipient of the Abdel El-Shaarawi Young Researcher’s Award from the International Environmetrics Society for her distinguished contributions to the development of novel statistical methodology to study marine biodiversity and sustainability; for passionate promotion of environmetrics by bridging the interdisciplinary gap between oceanography, marine biology, and modern statistical science; and for excellence in interdisciplinary mentoring of a future generation of environmetricians.
Joanna serves as the Associate Director of the Canadian Statistical Sciences Institute (CANSSI), as Associate Editor of the Canadian Journal of Statistics, and as Chair of the Statistical Society of Canada Research Committee. She is also the Leader of the CANSSI Collaborative Research Team Project titled Towards Sustainable Fisheries: State Space Assessment Models for Complex Fisheries and Biological Data.
Abstract: Increasingly large amounts of complex spatiotemporal data are being collected in the marine environment. This has enabled ocean scientists to ask questions at finer spatial and/or temporal scales than was previously possible. These new data sets, some derived from rapidly advancing digital technologies (e.g., global positioning systems for marine animal tracking), others from hitherto under-utilized citizen science efforts (e.g., summer jellyfish sightings on Nova Scotia beaches), and the important questions that accompany them, continue to demand advancements in both statistical modelling and computation. I will describe some of my recent contributions to this effort.
Date and Time: February 1, 2021 | 3-4 p.m. ET
Location: Online
Free Event | All Welcome | Register Here