Organising the BES Data and Code Hackathon

Post provided by Natalie Cooper, MEE Senior Editor In my last blog post I wrote generally about why and how to organise a hackathon. To help make those instructions a little clearer, below I provide an example from the BES Data and Code Hackathon we ran 29th-30th September 2025. Note that technically this was really a datathon rather than a hackathon! We followed the outline … Continue reading Organising the BES Data and Code Hackathon

The What, Why and How of Hackathons

Post provided by Natalie Cooper, MEE Senior Editor In September 2025 we ran a hackathon to collect data for a paper on data- and code-sharing across the BES journals. After the event, we thought it might be nice to share what we learned about hackathons here on the MEE blog. Massive thanks to all the participants of the BES Data and Code Hackathon for their … Continue reading The What, Why and How of Hackathons

What a national marine dataset taught us about the power of quality control and collaboration

Post provided by Brooke Bond (Gibbons) Ecologists often dream about big datasets—Combining observations from multiple studies across space and time could reveal patterns that would otherwise be impossible to detect. But anyone who has tried to merge datasets from different sources knows the reality is often less glamorous. My first job involved synthesising Baited Remote Underwater Video (BRUV) datasets from across Australia. BRUV systems use … Continue reading What a national marine dataset taught us about the power of quality control and collaboration

Building the Infrastructure for Reproducible Biodiversity Science

BIEN 4.2: A Reproducible Standard for Global Plant Biodiversity Data Post provided by the BIEN Working Group For hundreds of years, biologists have carefully collected information on plants, animals, and other organisms and have created and maintained enormous libraries of physical specimens from all around the globe. Specimens are collected with all kinds of information– often there’s a physical example, but beyond that, scientists record … Continue reading Building the Infrastructure for Reproducible Biodiversity Science

Peter Dietrich: Advancing plant biomass measurements: Integrating smartphone-based 3D scanning techniques for enhanced ecosystem monitoring

Throughout March, we are featuring articles shortlisted for the 2025 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Peter Dietrich’s article ‘Advancing plant biomass measurements: Integrating smartphone-based 3D scanning techniques for enhanced ecosystem monitoring‘ is one of those shortlisted for the award. About the paper What … Continue reading Peter Dietrich: Advancing plant biomass measurements: Integrating smartphone-based 3D scanning techniques for enhanced ecosystem monitoring

Xiaotian Zheng: Spatial-statistical downscaling with uncertainty quantification in biodiversity modelling

Throughout March, we are featuring articles shortlisted for the 2025 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Xiaotian Zheng’s article ‘Spatial-statistical downscaling with uncertainty quantification in biodiversity modelling‘ is one of those shortlisted for the award. About the paper  What is your shortlisted paper about, and … Continue reading Xiaotian Zheng: Spatial-statistical downscaling with uncertainty quantification in biodiversity modelling

Robin Boyd: Using causal diagrams and superpopulation models to correct geographic biases in biodiversity monitoring data

Throughout March, we are featuring articles shortlisted for the 2025 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Robin Boyd’s article ‘Using causal diagrams and superpopulation models to correct geographic biases in biodiversity monitoring data‘ is one of those shortlisted for the award. Read Robs previous … Continue reading Robin Boyd: Using causal diagrams and superpopulation models to correct geographic biases in biodiversity monitoring data

Nina Schiettekatte: habtools: An R package to calculate 3D metrics for surfaces and objects

Throughout March, we are featuring articles shortlisted for the 2025 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Nina Schiettekatte’s article ‘habtools: An R package to calculate 3D metrics for surfaces and objects‘ is one of those shortlisted for the award. About the paper What is … Continue reading Nina Schiettekatte: habtools: An R package to calculate 3D metrics for surfaces and objects

Jordan Martin: Covariance reaction norms: A flexible method for estimating complex environmental effects on trait (co)variances

Throughout March, we are featuring articles shortlisted for the 2025 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Jordan Martin’s article ‘Covariance reaction norms: A flexible method for estimating complex environmental effects on trait (co)variances‘ is one of those shortlisted for … Continue reading Jordan Martin: Covariance reaction norms: A flexible method for estimating complex environmental effects on trait (co)variances

Kal Backman: Human inspired deep learning to locate and classify terrestrial and arboreal animals in thermal drone surveys

Throughout March, we are featuring articles shortlisted for the 2025 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Kal Backman’s article ‘Human inspired deep learning to locate and classify terrestrial and arboreal animals in thermal drone surveys‘ is one of those shortlisted for the award. About … Continue reading Kal Backman: Human inspired deep learning to locate and classify terrestrial and arboreal animals in thermal drone surveys