Joe Millard
@joemillard.bsky.social
69 followers 91 following 18 posts
Computational ecologist and carbon-based trivia distributor | Leverhulme Early Career Fellow | https://joemillard.github.io/ (he/him)
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Reposted by Joe Millard
joemillard.bsky.social
Lynn Dicks, Cang Hui, Iwan Jones, Ben Woodcock, @drnickisaac.bsky.social, and @andypurvisnhm.bsky.social

Re further data collation, for anyone that happens to be at EntSoc in Portland, look out for Eliza Grames' symposium on evidence synthesis.
joemillard.bsky.social
And my brilliant co-authors on team GLiTRS, Grace Skinner, Andrew Bladon, @r-cooke.bsky.social, @charlieouthwaite.bsky.social, @james-rodger-za.bsky.social, Lindsey Barnes, Justin Isip, Daero Keum, Cristina Raw Villarino, Emily Wenban-Smith
bsky.app
joemillard.bsky.social
Lastly, some thanks! Massive thanks to our funders, the NERC Highlights Grant ‪‪@glitrs.bsky.social, and more recently @leverhulme.ac.uk and The Isaac Newton Trust on my ECF.
joemillard.bsky.social
I’m conscious that although this has been hard, performing experiments and collecting data is also hard. I’ve seen my role as to help lift up the work of others. For those that use these data, please do also cite the associated meta-analyses.
joemillard.bsky.social
This database represents a huge collaborative effort. That’s true of the GLiTRS team, with a lot of this work having been performed by early career researchers, but it’s also true of the research we have built on.
joemillard.bsky.social
That means each effect size needs a structure such that it’s internally consistent with the meta-analysis within which it falls, internally consistent with another distinct meta-analysis, and externally consistent with predictions from two other evidence types.
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joemillard.bsky.social
But that’s not all, there are more moving parts. The intent has been to build such that we can combine this database with space-for-time and expert elicitation predictions.
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joemillard.bsky.social
To ensure all effect sizes are collected consistently, we we needed a protocol to guide two forms of effect size collation: first, the collation of effect sizes from previously published papers; and second, the collation of effect sizes from meta-analyses we performed ourselves (see osf.io/jw3gh)
OSF
osf.io
joemillard.bsky.social
Even the most robust data structures are only as strong as that structure is followed. That means Dynameta alone was not enough.
OSF
osf.io
joemillard.bsky.social
The intent on Dynameta was to build software that could ingest effect sizes among all possible combinations of IUCN threats and insect Orders. The novelty for me is not its interactivity, but the lego-brick back-bone it imposes on its user.
joemillard.bsky.social
Dynameta is an interactive meta-analytic platform for performing ecological meta-analyses (lnkd.in/eu7QDBmX). That says what it does, but it doesn’t say why we needed it.
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What I've tried to aim for here is the highest level of meta-analytic synthesis on insect biodiversity change. That intent meant starting this project off 3 years ago with two core structures: First, Dynameta; and second, a meta-protocol that guides among all meta-analyses.
joemillard.bsky.social
How can you take X meta-analyses on insect biodiversity change, performed in many regions of the world in many taxonomic groups, and for all the ways in which humans moderate the environment, and then collate these estimations meaningfully among many researchers?
joemillard.bsky.social
This is the toughest piece of work I've undertaken. Evidence synthesis is so hard to get right, even for an individual research question. But here the task was harder:
joemillard.bsky.social
New paper! Today introducing a 'multi-threat meta-analytic database for understanding insect biodiversity change', an output from the @glitrs.bsky.social project (see glitrs.ceh.ac.uk).
The GLiTRS project: assessing global patterns and consequences of insect declines. | GLiTRS
glitrs.ceh.ac.uk
Reposted by Joe Millard
glitrs.bsky.social
NEW PAPER from the GLiTRS team! 🎉

We review how best to use different types of evidence to better understand global insect declines 🦗🪳🪲🦋🐛🐜

"Integrating multiple evidence streams to understand insect biodiversity change" published in @science.org

🔗 tinyurl.com/mr35bdaa

A summary 🧵 below (1/7)
www.science.org
Reposted by Joe Millard
oisinmacaodha.bsky.social
Do Large Language Models (LLMs) possess ecological knowledge?

For example, can they do tasks such as:
(1) predict the presence of species at a location
(2) generate range maps
(3) list critically endangered species
(4) perform threat assessment
(5) estimate species traits
Reposted by Joe Millard
lauradee.bsky.social
Foundations and future directions for causal inference in ecological research, forthcoming w/ @katherinesiegel.bsky.social: tinyurl.com/4mm57zzd.
We wrote it based on our experience teaching causal inference to ecologists w/ some stuff we wish other papers had reviewed to share w/ the students
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Reposted by Joe Millard
inesismartins.bsky.social
Did you miss #BES2024 and are you interested in #BiodiversityFutures? check the recording of this great session led by @drnickisaac.bsky.social, featuring talks by Damaris Zurell, Anita Lazurko, Andy Purvis, James Bullock, Greta Bocedi, Jennifer Border and myself.
youtu.be/FkbS6Klzbdg?...
BES2024 Thematic Session - Biodiversity Futures: harnessing the power of scenarios and models
YouTube video by British Ecological Society
www.youtube.com
joemillard.bsky.social
Ok so the the biodiversity chat FOMO got too strong and I made an account. Hi all!