Scientists using LLMs (AI) to write/modify text & to précis the literature is a slippery slope Scientific training is about learning how to: write clearly & succinctly, assess the literature, develop our own knowledge, & be critical thinkers Using LLMs to do these undermines scientific integrity

We’re hiring! We invite applications for an Ecological Statistician to join our team. Work at the interface of cutting-edge biodiversity science and statistics. DL 27 May @jarnovanhatalo.bsky.social @rececochange.bsky.social @erc.europa.eu jobs.helsinki.fi/job/Helsinki...

"The real threat is a slow, comfortable drift toward not understanding what you're doing. Not a dramatic collapse. Not Skynet. Just a generation of researchers who can produce results but can't produce understanding."

Fantastic that our paper using @ukbms.bsky.social data led by @robboyd.bsky.social @ukceh.bsky.social has been shortlisted for the best paper of the year prize! @savebutterflies.bsky.social

🏅 Shortlisted for the 2025 Robert May prize! 🏅 In his blog post, @robboyd.bsky.social talks about his paper 'Using causal diagrams and superpopulation models to correct geographic biases in biodiversity monitoring data' 🌍 🧪 Read the blog and find the full article 👇 buff.ly/a7UROJJ

🏅 Shortlisted for the 2025 Robert May prize! 🏅 In his paper, @jsmartin.bsky.social proposes a statistical model for detecting how complex, continuously varying environments shape the expression of and association among multiple organismal traits 🌍 Read more here 👇

In a sea of opinions about the role of LLMs in academics I offer my own. Apart from being harmful, exploitive plagiarism machines, LLMs rob us of the opportunity to experience the gift of friction in writing, which changes how we think. We must not give away that gift. doi.org/10.1002/fee....

We're pleased to announce the shortlist for this year's Robert May prize! 🌟 Each year, we award the Robert May prize to the best paper in the journal by an early career author 🧪 🌏 See the full list below 👇 buff.ly/SosksZF

Published 📖 Generalized graphical mixed models connect ecological theory with widely used statistical models GGMMs connect ecological theory with statistical models that are applied for inference, prediction, and causal analysis throughout ecology 🖥️ 🌍 🔎

As well as the FIT Count survey, we run a more systematic survey using insect traps in a set of 1 km squares across the UK. If you live near one of the red squares on the map and are interested in taking part please contact us for more details ukpoms.org.uk/one-km-squar...

CFP: Society for the Study of Measurement will be held at the University of Edinburgh June 22-25, 2026. Submit proposals for papers, symposia, & poster on any topics in the theory, history, philosophy, & application of measurement by January 15, 2026 app.oxfordabstracts.com/stages/80364... #HPS

New paper on adaptive sampling for ecological monitoring published in @oikosjournal.bsky.social nsojournals.onlinelibrary.wiley.com/doi/10.1002/.... Premise is to aim for proportional allocation across strata. Success depends on choice of stratifying variables. Oli Pescott’s brainchild

Science-integrity project will root out bad medical papers ‘and tell everyone’ Thrilled to announce this new $900,000 project headed by @jamesheathers.bsky.social

Ecologists’ endless quest for automatic inference statmodeling.stat.columbia.edu/2025/05/28/e...

Our new paper combines wildlife surveillance data and spatial risk modelling to map suitability for TBEV in GB. We identified key drivers linked to TBEV exposure in deer and produced risk maps, which can guide future surveillance and interventions. www.eurosurveillance.org/content/10.2...

DAGs are nice way to think about sample selection biases, Ecology edition. besjournals.onlinelibrary.wiley.com/doi/10.1111/...

It is only by understanding what causes sampling bias that we can correct it... Check out our new Blog post by @robboyd.bsky.social here! 👇 https://buff.ly/3PVHA30

This paper just out using data from the UKBMS to demonstrate different ways to think about bias in datasets.

📖Published📖 Our new research article demonstrates how you might combine expert knowledge with causal diagrams and superpopulation models to mitigate geographic biases in biodiversity monitoring data 🌎 🧪 Read it here 👇 https://buff.ly/3C2ZKws

What have causal diagrams got to do with sampling bias? Find out here! Great team @richardfoxbc.bsky.social @davidroybrc.bsky.social + oli Pescott, Colin harrower, Emily Dennis, Ian middlebrook and Marc Botham. @ukceh.bsky.social @ukbms.bsky.social

🚨 Interested in using #AI to help develop real-time early warnings of human-wildlife conflict? Apply for a fully-funded #PhD supervised by Vicky Boult (University of Reading) and our own @robboyd.bsky.social Part of the AI-INTERVENE programme. Deadline 27 Jan: www.findaphd.com/phds/project...

💡 Can we use data science and AI to make citizen science more engaging for participants and improve biodiversity data quality? 🧪 Apply now for a competition-funded #PhD opportunity to explore - deadline 27 Jan. www.findaphd.com/phds/project...

Still a couple of weeks left to apply for this #PhD. How are pollinating #insects changing in the UK? This project will develop indicators for #pollinators using #citizenscience data. A collaboration between @ukceh.bsky.social, University of Reading and JNCC. tinyurl.com/3ve5szrh