Branch Meeting: COUNTING ALL THE FISH IN THE MCM"SEA"
Details
# SSA QLD Branch Meeting: Counting all the fish in the MCM"SEA"
- When 20 Sep 2023
- 5:00 PM - 6:30 PM
- Location 0500D-0M14 - UQ Brisbane City, 88 Creek Street, Brisbane/Online
#### Registration
- Attending in-person
- Attending online
Please join us online or in person for our next Queensland Branch Meeting. The seminar will start at 5:00 pm. Details for the seminar are provided below.
https://statsoc.org.au/event-5407018/Registration
TITLE: Counting all the fish in the MCM"SEA"
SPEAKER: Montana Wicken, Department of Agriculture and Fisheries, Queensland
TIME: 5:00 - 6:30 pm (AEST), 20th September 2023
VENUE: 0500D-0M08 - UQ Brisbane City, 88 Creek Street, Brisbane and online (Zoom details will be sent with registration).
Special instructions for in-person venue: Enter through the main door at 308 Queen Street and pass through the Atrium. Speak to the concierge at the elevator located at the back of the room, and notify them that you are attending the Statistical Society of Australia event.
Please note that the seminar will be recorded and might be put on YouTube or similar platform.
ABSTRACT:
At Fisheries Queensland, our aim is to provide useful population models that inform harvest control rules promoting sustainability. The population models are guided by fishery-dependent data such as catch-per-day, and fishery-independent data such as biomass surveys and age-length measurements. The population models are often non-linear with highly correlated parameters. Constructing models that capture biological processes, are resilient to poor data, and reveal the true uncertainty of estimates is extremely important. I hope to demonstrate the statistical challenges we face and present our best attempts at solutions.
SPEAKER'S BIO:
Montana is a fishery scientist at Fisheries Queensland developing population models for stock assessments. She graduated from the University of Queensland with a Bachelor of Applied Maths seeking to apply her interest in dynamic systems, but quickly realised the key to working with data was a strong statistics foundation. She returned to UQ to focus on developing those necessary skills and then swiftly fell into her current role.