Please forward to anyone you think will be interested, particularly to our US Federal colleagues if they have an alternative e-mail.

and use the results to make important management decisions, not to speculate about aliens

Contemporary applied quantitative/statistical biologists generally come up with one or more hypothesis, create some equations to represent the hypotheses, fit the models to all the available data types, estimate the parameters, and see which hypothesis has the most support. Quite different.

There is a long history in biology of starting with Math (e.g., theoretical biology and ecology) and making simplifying assumptions (e.g., linearity) and coming up with something nice and simple that generally represents the data, but misleads that particular field of science for years.

CAPAM's workshops and the related special issues have covered much of this see the following for summaries

www.sciencedirect.com/science/arti...

www.sciencedirect.com/science/arti...

Check this out. It has code.

www.sciencedirect.com/science/arti...

#integratedanalysis #CAPAM #wildlife #fisheries

What was the proposed research?

www.jouav.com/case-study/c...

Looks like it. Not sure if the policy is still no interaction with international scientists or attending international meetings, or just so much uncertainty people can't committee. Not a good way to celebrate the 75th anniversary.

Probably those that are open access. An AI that uses all Journal articles (i.e. those under subscription) and no social media would be awesome. That's possibly why DeepSeek is soooo good 😜I considered making an AI based on CAPAM papers, but it appears only full training is worthwhile.

Hi Tim. Thanks for the interest in CAPAM. Jason Cope has a paper on info limited in the special issue, but Good practices have yet to be fully identified. The next CAPAM workshop is on info limited methods, possible early 2026. I hope you can make it.