Outputs

Publications, outreach, and field notes in one place.

A unified stream of papers, media highlights, seminars, workshops, and selected gallery moments from the Biodiversity Data Lab.

Lab stream

News, papers, and gallery

Use the filters to move between outreach highlights, peer-reviewed outputs, and visual field notes.

Schools engaged in forest biodiversity study
News

March 18th, 2026

Schools engaged in forest biodiversity study

How does biodiversity differ between natural forests and production forests? Researchers Tobias Andermann and Mahwash Jamy from the Biodiversity Data Lab are seeking to find out with the help of school pupils throughout Sweden. The pupils will collect soil samples for analysis and sequencing at SciLifeLab.

MostFUN & GEOBON Seminar
News

March 4th, 2026

MostFUN & GEOBON Seminar

Tobias Andermann was invited to speak at an online seminar for the Biodiversa+ project MoSTFun on predictive biodiversity modelling, highlighting the integration of species data, eDNA, and high-resolution remote sensing.

Environmental Scholarship Award for Master Student
News

January 16th, 2026

Environmental Scholarship Award for Master Student

Master student Linus Lassen from the Biodiversity Data Lab was awarded an Environmental Scholarship from Sveriges Ingenjorer for a degree project on optimizing eDNA detection methods.

Interview with Sveriges Radio on AI in biodiversity research
News

January 7th, 2025

Interview with Sveriges Radio on AI in biodiversity research

An interview with Sveriges Radio on the role of AI in biodiversity research.

Business and biodiversity workshop at Ekenas Herrgard
News

December 5th-6th, 2024

Business and biodiversity workshop at Ekenas Herrgard

We carried out a workshop on Emerging Methods for Business & Biodiversity, bringing together experts from academia, museums, nature tech, the private sector, and public agencies.

Discussing the global biodiversity crisis on TV panel at TRT World News
News

June 17th, 2024

Discussing the global biodiversity crisis on TV panel at TRT World News

A panel discussion about the ongoing biodiversity crisis and how to move towards a biodiversity-positive future.

Public seminar on spatial biodiversity modeling for RISE
News

April 18th, 2024

Public seminar on spatial biodiversity modeling for RISE

A one-hour public seminar presenting recent advances in spatial biodiversity modeling and deep learning models for detecting high-conservation-value forests in Sweden.

Uppsala University News covers our study on global bird extinctions
News

December 27th, 2023

Uppsala University News covers our study on global bird extinctions

The study estimates the number of recent bird extinctions, including those unnoticed due to a lack of data or research effort.

Benzelius prize for natural science and medicine awarded to Tobias Andermann
News

August 29th, 2023

Benzelius prize for natural science and medicine awarded to Tobias Andermann

The Benzelius prize in the category natural science and medicine was awarded to Tobias Andermann for research on biodiversity using interdisciplinary methods.

Researcher profile Tobias Andermann - Uppsala University interview series
News

March 31st, 2023

Researcher profile Tobias Andermann - Uppsala University interview series

In this interview, Tobias Andermann talks about his research, the biodiversity crisis, and how computers and big data can help provide new insights into nature.

News coverage of our twin articles on Madagascar's biodiversity
News

December 2nd, 2022

News coverage of our twin articles on Madagascar's biodiversity

Two review articles on the state of Madagascar's biodiversity, published in Science, synthesize available data on biodiversity distribution and extinction threats.

Bayesian deep learning model finds clues about the evolution of open habitats
News

October 6th, 2022

Bayesian deep learning model finds clues about the evolution of open habitats

A Bayesian Neural Network approach published in Nature Communications was featured in the SciLifeLab Data Highlights.

Our recent study in the spotlight: Estimating alpha, beta, and gamma diversity through deep learning
News

June 21st, 2022

Our recent study in the spotlight: Estimating alpha, beta, and gamma diversity through deep learning

The AI-based biodiversity prediction approach from a recent publication was featured as a Data Highlight by SciLifeLab.

Tobias Andermann appointed as new DDLS fellow - Q&A interview
News

June 16th, 2022

Tobias Andermann appointed as new DDLS fellow - Q&A interview

A Q&A style news article about Tobias Andermann's research background, future aims, and role within the DDLS network.

Tobias Andermann awarded prize by H.M. King Carl XVI Gustaf
News

June 12th, 2022

Tobias Andermann awarded prize by H.M. King Carl XVI Gustaf

The Royal Academy of Forestry and Agriculture awarded Tobias a prize for his recently defended PhD thesis.

Tobias Andermann presents as keynote speaker at DDLS Research area conference
News

March 22nd, 2022

Tobias Andermann presents as keynote speaker at DDLS Research area conference

Watch the recorded talk outlining the research vision for the Biodiversity Data Lab and a summary of previous research.

Faculty of Science awards Tobias Andermann's PhD thesis research
News

December 2nd, 2021

Faculty of Science awards Tobias Andermann's PhD thesis research

The Faculty of Science at the University of Gothenburg awarded the annual research prize for the best doctoral thesis in 2021 to Tobias Andermann.

Radio interview on Sveriges Radio about big data in biodiversity research
News

January 14th, 2021

Radio interview on Sveriges Radio about big data in biodiversity research

A short radio interview about the utility and challenges of big data in biodiversity research.

Live TV interview at TRT World News
News

September 7th, 2020

Live TV interview at TRT World News

In this live TV interview Tobias Andermann discusses the scale of the current biodiversity crisis and why we should care.

Properties and Limitations of eDNA Substrates for Terrestrial Animal Monitoring
Publication

Molecular Ecology Resources · 2026

Properties and Limitations of eDNA Substrates for Terrestrial Animal Monitoring

Beilun Zhao, Tobias Andermann

Estimating national Red List statuses for fungi in Sweden - An improved deep learning approach to account for unbalanced data
Publication

Ecological Informatics · 2025

Estimating national Red List statuses for fungi in Sweden - An improved deep learning approach to account for unbalanced data

Filipe Gomes de Almeida, Adrian Baggstrom, Tobias Andermann

The utility of combining deep learning with metabarcoding to model biodiversity dynamics at a national scale
Publication

Ecological Informatics · 2025

The utility of combining deep learning with metabarcoding to model biodiversity dynamics at a national scale

Adrian Baggstrom, Robert Goodsell, Laura van Dijk, Ela Iwaszkiewicz-Eggebrecht, Andreia Miraldo, Ayco J.M. Tack, Tobias Andermann

Deep learning segmentation model produces accurate biodiversity predictions at 10 m spatial resolution
Publication

Research Square Preprints · 2024

Deep learning segmentation model produces accurate biodiversity predictions at 10 m spatial resolution

Tobias Andermann, Johan Haggmark, Patrik Olsson, Alice Hogstrom

Exploring Paleogene Tibet's warm temperate environments through target enrichment and phylogenetic niche modelling of Himalayan spiny frogs
Publication

Molecular Ecology · 2024

Exploring Paleogene Tibet's warm temperate environments through target enrichment and phylogenetic niche modelling of Himalayan spiny frogs

Sylvia Hofmann, Dennis Rodder, Tobias Andermann, Michael Matschiner, Jendrian Riedel, and collaborators

Undiscovered bird extinctions obscure the true magnitude of human-driven extinction waves
Publication

Nature Communications · 2023

Undiscovered bird extinctions obscure the true magnitude of human-driven extinction waves

Rob Cooke, Ferran Sayol, Tobias Andermann, Tim Blackburn, Manuel Steinbauer, Alexandre Antonelli, Soren Faurby

Madagascar's extraordinary biodiversity: Evolution, distribution, and use
Publication

Science · 2022

Madagascar's extraordinary biodiversity: Evolution, distribution, and use

Alexandre Antonelli and collaborators, including Tobias Andermann

Madagascar's extraordinary biodiversity: Threats and opportunities
Publication

Science · 2022

Madagascar's extraordinary biodiversity: Threats and opportunities

Helene Ralimanana and collaborators, including Tobias Andermann and Alexandre Antonelli

The origin and evolution of open habitats in North America inferred by Bayesian deep learning models
Publication

Nature Communications · 2022

The origin and evolution of open habitats in North America inferred by Bayesian deep learning models

Tobias Andermann, Caroline Stromberg, Alexandre Antonelli, Daniele Silvestro

Estimating Alpha, Beta, and Gamma Diversity Through Deep Learning
Publication

Frontiers in Plant Sciences · 2022

Estimating Alpha, Beta, and Gamma Diversity Through Deep Learning

Tobias Andermann, Alexandre Antonelli, Russell Barrett, Daniele Silvestro

Global Estimation and Mapping of the Conservation Status of Tree Species Using Artificial Intelligence
Publication

Frontiers in Plant Sciences · 2022

Global Estimation and Mapping of the Conservation Status of Tree Species Using Artificial Intelligence

Sandro Valerio Silva, Tobias Andermann, Alexander Zizka, Gregor Kozlowski, Daniele Silvestro

IUCNN - Deep learning approaches to approximate species' extinction risk
Publication

Diversity and Distributions · 2022

IUCNN - Deep learning approaches to approximate species' extinction risk

Alexander Zizka, Tobias Andermann, Daniele Silvestro