Mark Maunder

Head of the Stock Assessment Program at the Inter-American Tropical Tuna Commission #IATTC and coordinator of the #CAPAM workshops on Stock Assessment Methods

[Mark Maunder @maunderCAPAM]

Check out my research at https://t.co/EsvLGmBkjM

[Mark Maunder @maunderCAPAM]

"It is with great disappointment that we must announce the cancellation of the 75th Tuna Conference at the UCLA Lake Arrowhead Lodge ... Due to unforeseen circumstances beyond our control ... we are unable to meet the minimum attendance required ..." Coordinated by SWFSC-IATTC

[Mark Maunder @maunderCAPAM]

Hi Everyone,

CAPAM’s special issue on Fisheries Stock Assessment Good Practices is finally completed.

Direct link to the special issue is here
https://t.co/ZJTgRpp7QA

The preface that briefly describes the papers can be found at
https://t.co/zkS2TKP3ae

[Mark Maunder @maunderCAPAM]

@TrevorABranch But who is following you? I just joined and don't see much #fisheries action over there. But I do agree that X has nearly gone extinct in terms of fisheries.

[Mark Maunder @maunderCAPAM]

New paper on relating the #stockrecruitment relationship with evaluating the #stockstatus with respect to #referencepoints in #FisheriesManagement focusing on the depletion estimation and the double jeopardy of the SR relationship.

https://t.co/krIDAqHwo0

[Brice semmens @Rovingdiver2]

@calcofi @Scripps_Ocean @noaafisheries @noaaocean @sanctuaries

[Curry Cunningham @CurryCunningham]

How do we address rapid changes in fleet structure within integrated stock assessments?
When is it necessary to represent sex-structured dynamics?

Matt Cheng used Alaska sablefish and simulations to address these questions.

See his @UAFcfos PhD defense on Monday 10/21 @ 1pm AK

[Mark Maunder @maunderCAPAM]

Paper by John Hoenig on estimating #naturalmortality in the #CAPAM #GoodPractices special issue in #FisheriesResearch. Highlight need for contrast in fishing mortality and outline how this can be achieved over time, within a year, age or size, space.
https://t.co/fuHvgd40OV

[Mark Maunder @maunderCAPAM]

New paper on #diagnostics by Maia Kapur in the #CAPAM #GoodPractices special issue of #FisheriesResearch Results further support using multiple diagnostics 

https://t.co/jlYU48ERBm

[Mark Maunder @maunderCAPAM]

The top 4 most cited articles in the Journal #FisheriesResearch published since January 2021 are from #CAPAM special issues

https://t.co/P5jk9dTAXf

[Mark Maunder @maunderCAPAM]

It is part of the #CAPAM #GoodPractices Special Issue. Which is close to being complete with only two papers and the preface to come

https://t.co/ZJTgRpp7QA

[Mark Maunder @maunderCAPAM]

We have just published a paper describing the history of #CAPAM focusing on the workshop series and consequent special issues in #FisheriesResearch.

#StockAssessment #model #fisheries #tuna

https://t.co/ADKEwXTMms

[Mark Maunder @maunderCAPAM]

Some other good papers in the special issue

https://t.co/U52Um4BZ2S

[Mark Maunder @maunderCAPAM]

Just published a paper on a framework for #populationdynamics #models in #EcologicalModelling part of a joint special issue on good #modelling practices. Based on #Fisheries #StockAssessment with references to #CAPAM work. Inc #Diagnostic #ExpertSystem

https://t.co/41989uxzz6

[Mark Maunder @maunderCAPAM]

Fishery Officer (Fisheries Assessment and Management Advice) job at FAO

https://t.co/MCHJdCBQqz

[Inter-American Tropical Tuna Commission (IATTC) @iattc_ciat]

IATTC researchers and Kindai University are studying how rising ocean temperatures affect tuna larvae survival.

Investigadores de la CIAT y la Universidad de Kindai estudian cómo el aumento de la temperatura oceánica afecta la supervivencia de las larvas de atún.

[Mark Maunder @maunderCAPAM]

Also see

https://t.co/XngygMUYVc

[Mark Maunder @maunderCAPAM]

Kind of off topic, but I wonder how much resources (CPUs, time, money) it would cost to train a LLM on wikipedia and your own data (e.g. all the pdfs of the CAPAM special issues)

[Mark Maunder @maunderCAPAM]

I Was thinking more like Bloomburg-gpt

https://t.co/rrysKTXFHr

[Mark Maunder @maunderCAPAM]

Here are some costs https://t.co/xywfUkXC3o

[Mark Maunder @maunderCAPAM]

@ErnestoCarrella @CubillosS_L "Continued Pre-training" Provide unlabeled data and Pre-training process will tweak the model parameters to accommodate the input data and improve its domain knowledge. Is the closest without complete training, but i assume will be limited.

https://t.co/YzLuziOXat

[Mark Maunder @maunderCAPAM]

@CubillosS_L Creating prompts (RAG) from your pdfs or fine tuning the GPT is sub-optimal. Better to completely train the model with the data you want. Add your data to some general reliable data, without any extra fluff. Is that possible and how much resources would it need?