Sam Ellis
@samellisq.bsky.social
1K followers 110 following 14 posts
Lecturer at the University of Exeter. Interested in general but especially in life history evolution and social behaviour.
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samellisq.bsky.social
Very excited to see our paper using historical data to infer toothed whale lifespans published this week in the Biological Journal of the Linnaean Society (@biojlinnsoc.bsky.social)

doi.org/10.1093/biol...

w. @darrencroft.bsky.social @drwhale.bsky.social @mialybkaer.bsky.social, Dan Franks
Reposted by Sam Ellis
darrencroft.bsky.social
We are hiring - PDRA position exploring how information access shapes social dynamics in killer whales. Collaboration with @samellisq.bsky.social @drwhale.bsky.social Prof Dan Franks (York) start 1st Nov (or ASAP) end 31st Oct 2028. Apps close on 19th Oct.

www.jobs.ac.uk/job/DOT336/p...
Reposted by Sam Ellis
dingdingpeng.the100.ci
Ever stared at a table of regression coefficients & wondered what you're doing with your life?

Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...
Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities

Abstract
Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as “counterfactual prediction machines,” which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models).
Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve. A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals).

Illustrated are 
1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals
2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and
3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.
samellisq.bsky.social
Pleasure and honour to have the opportunity to discuss some of the work we have been doing on over the last few years.

Thanks to @behaviour2025.bsky.social for the invite (and great conference), @asab.org for the funding and everyone who turned up to listen at 9am on day 5.
asab.org
ASAB @asab.org · Aug 29
It may be 9am on Day 5, but of course nobody couldn’t miss @samellisq.bsky.social’s fascinating plenary on menopause in whales! 😍👵🐳 #Behaviour2025
Sam in front of a slide reading Social behaviour, and the evolution of menopause in toothed whales
Reposted by Sam Ellis
ljnbrent.bsky.social
Animal Behaviour from Exeter and Bristol, plus some of our alumni, went to @behaviour2025.bsky.social in Kolkata and had mountains of rice. @crab-exeter.bsky.social @bristolbiosci.bsky.social @uniexecec.bsky.social
samellisq.bsky.social
It was a real pleasure to have accidently been involved in Joe Wilde's (not here) paper published last week: doi.org/10.1098/rspb...

It has terrifying Bayesian Hidden Markov Models, important insights about dynamic sexual signalling, and a robot crab called "Wavey Dave"- what's not to love?
Reposted by Sam Ellis
katelaskowski.bsky.social
BEHAVIOR IS THE WAY
andrejpaleo.bsky.social
Exhilarating to see organismal agency in evolution at such a large scale! Organisms chose where to live and what to eat, and only after tens of thousands of generations and after much later speciation events the efficiency was achieved
www.science.org/doi/epdf/10....
🧪 ⚒️ #Geology #Paleobio #EvoBio
Testing the three pillars of behavioral drive.
Reposted by Sam Ellis
danielredhead.bsky.social
🐒🕸️ New preprint! Confused about how to model animal social networks?

ASNA can be confusing—but also full of opportunity. We break down 5 common misunderstandings in animal social network analysis and share solutions from behavioural ecology, anthro, stats, & network science. Hope it helps!

A 🧵
Five misunderstandings in animal social network analysis
ecoevorxiv.org
Reposted by Sam Ellis
ljnbrent.bsky.social
I learned a lot working on this new paper with this group of network scientists, sociologists, anthropologists and behavioural ecologists. We're hoping it helps anyone who feels (understandably!) lost in the animal social networks weeds.
danielredhead.bsky.social
🐒🕸️ New preprint! Confused about how to model animal social networks?

ASNA can be confusing—but also full of opportunity. We break down 5 common misunderstandings in animal social network analysis and share solutions from behavioural ecology, anthro, stats, & network science. Hope it helps!

A 🧵
Five misunderstandings in animal social network analysis
ecoevorxiv.org
Reposted by Sam Ellis
Reposted by Sam Ellis
lauraakelley.bsky.social
‪Come join us at the @asab.org Winter Conference 2025: how sensory info affects behaviour.

15th & 16th Dec, abstracts due end Aug. More info and registration asabwinter.github.io/2025

Co-hosted with @jtroscianko.bsky.social and Innes Cuthill
Reposted by Sam Ellis
Reposted by Sam Ellis
dieterlukas.fediscience.org.ap.brid.gy
Our #study finds that #male #dominance isn't the norm among #primates, and starts to unravel what shapes flexibility in intersexual power

paper (OA) https://www.pnas.org/doi/10.1073/pnas.2500405122

press release https://www.mpg.de/24986976/0630-evan-beyond-the-alpha-male-150495-x?c=2249
Reposted by Sam Ellis
Reposted by Sam Ellis
ebablab.bsky.social
🚨Anyone want a job?🚨
We have two #postdocs up for grabs! 🧪
- cell developmental biology/#evodevo/#neuroevodevo
- bioinformatics and molecular biology
Both working on brain evolution in Heliconiini butterflies
Details below! Please repost 🙏 1/n
samellisq.bsky.social
Thanks to the editors and reviewers for their support, comments and forbearance over the years (!, I might have underestimated how my first couple of years of teaching would impact my time to respond to reviewers...)
samellisq.bsky.social
Using this method we were able to estimate the lifespans of 32 Female and 33 Male species of toothed whale. Data and methods in these R packages:

github.com/samellisq/ma...
github.com/samellisq/ma...
samellisq.bsky.social
In the paper we develop Bayesian methods to infer the underlying mortality function of toothed whales from age-structured data, while carrying through potential sources of error into the final estimates.
samellisq.bsky.social
Very excited to see our paper using historical data to infer toothed whale lifespans published this week in the Biological Journal of the Linnaean Society (@biojlinnsoc.bsky.social)

doi.org/10.1093/biol...

w. @darrencroft.bsky.social @drwhale.bsky.social @mialybkaer.bsky.social, Dan Franks
Reposted by Sam Ellis
ljnbrent.bsky.social
How good is it to get work with this lovely group of people in @crab-exeter.bsky.social every day? Answer: really really good!
Reposted by Sam Ellis
youngvulgarian.marieleconte.com
it's published! finally! in this week's newsletter: my attempt to go through every single reason why I both dislike and distrust generative AI: youngvulgarian.substack.com/p/11-things-... [free to read!]
Reposted by Sam Ellis
elvarobinson.bsky.social
Did you know about these tiny shiny ants (red arrow) living with wood ants (blue arrow)? They are Shining Guest Ants (Formicoxenus) and we have recently discovered that a wood ant nest can be home to several genetically distinct colonies of these 'guests'! onlinelibrary.wiley.com/share/author... 1/5
A large wood ant, with a dull black gaster and head, and dull brown thorax, is on a pale stone background, and indicated by a blue arrow. Next to it a much smaller ant with a shiny back gaster and shiny brown head and thorax is indicated by a red arrow. The blue arrow at is the wood ant Formica lugubris and the red arrow at is the shining guest ant Formicoxenus nitidulus.
Reposted by Sam Ellis
ljnbrent.bsky.social
Postdoc job alert! I'm hiring a 3-yr postdoc to work on our Social Modifiers of Primate Lifespans grant. Job info and how to apply below. Deadline June 1. Pls share! jobs.exeter.ac.uk/hrpr_webrecr...
Powered by MHR
jobs.exeter.ac.uk
Reposted by Sam Ellis
stephanielking.bsky.social
🐳 UPCOMING BOOK ALERT 🐬
The Evolution of Cetacean Societies

Edited by @darrencroft.bsky.social @andrewfoote.bsky.social @ellengarland.bsky.social and myself

Preorder available now
press.uchicago.edu/ucp/books/bo...

#whale #dolphin #animalbehaviour
Reposted by Sam Ellis
ljnbrent.bsky.social
Bake your paper! Research tech extraordinaire, Macaela Skelton, made a cake of (some of) the study sites in the MacaqueNet database. She ran out of decorations before she could do them all 😆. Link to the paper that's been cake-ified: besjournals.onlinelibrary.wiley.com/doi/10.1111/...