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Andrea Zampetti

@andrewzampetti.bsky.social

2.2K followers 610 following 17 posts

PhD student @ Sapienza University 🇮🇹 🐒🐺🦌Conservation biology 📊 Ecological modeling 📸 Camera-traps 🤖 Leveraging AI to transform wildlife conservation 🐾 📖 https://www.researchgate.net/profile/Andrea-Zampetti-4

www.researchgate.net

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Andrea Zampetti @andrewzampetti.bsky.social · Dec 3

Can AI improve #cameratrap studies?

Our study in @methodsinecoevol.bsky.social shows how #machinelearning can enhance wildlife surveys by automating species detection & classification and enabling unbiased density estimates 📷🦌.

Check it out! ⬇️
besjournals.onlinelibrary.wiley.com/doi/10.1111/...

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Reposted by Andrea Zampetti

bes-quantitativegroup @bes-quantitative.bsky.social · Jun 24

Thrilled to announce our webinar series:

🌱📈 Quantifying Ecology 📈🌱

We are collaborating with our SIG friends to bring you quantitative methods in different ecological contexts.

Kicking off with Dr @jamesaorr.bsky.social and @bes-aquaticgroup.bsky.social on 5th August. More details to come!

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Reposted by Andrea Zampetti

Science Magazine @science.org · May 29

A game-changing new opponent has stepped onto the badminton court. But don’t worry; it’s still a beginner.

Researchers have developed a robot that can successfully volley a shuttlecock, tracking down the object and moving across the court to send it back to its human adversary: scim.ag/4kz3nKW

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Reposted by Andrea Zampetti

cameratraps @ppalencia.bsky.social · May 26

Another promising paper on the transition from AI models for image classification to user friendly apps.
Let's see how it works!
#cameratrapping

peercommunityjournal.org/item/10.2407...

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Reposted by Andrea Zampetti

Methods in Ecology and Evolution @methodsinecoevol.bsky.social · May 26

📖Published📖

Matthew Kling presents phylospatial, a new R package that fully supports probability, abundance, and binary community data across a range of spatial phylogenetic diversity (PD) analyses 🌎 🧪 Check the article out here 👇

buff.ly/onf4BV6

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Reposted by Andrea Zampetti

Luca Santini @lsantinieco.bsky.social · May 21

The first paper of the "Urbis project" focusing on the urban ecosystem of Rome is out in Urban Forestry & Urban Greening!
Here we characterize the urban landscape and propose a multiscale framework to better support urban biodiversity research and planning
doi.org/10.1016/j.la...

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Reposted by Andrea Zampetti

Jennifer Ouellette @jenlucpiquant.bsky.social · May 19

Capuchin monkeys kidnap baby howler monkeys, shocking scientists www.popsci.com/environment/...

Capuchin monkeys kidnap baby howler monkeys, shocking scientists

The disturbing fad could be the result of boredom.

www.popsci.com

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Reposted by Andrea Zampetti

Irene Mendoza @phenogirl.bsky.social · May 19

A new preprint on the best configuration settings of BirdNET for improving bird detections, lead by Cristian Pérez-Granados & David Funosas. A derived paper of the WABAD dataset, with more than 4,000 minutes of annotated audios. Enjoy reading!! #bioacoustics
www.researchsquare.com/article/rs-6...

Optimisation of passive acoustic bird surveys: a global assessment of BirdNET settings

www.researchsquare.com

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Reposted by Andrea Zampetti

ZSL @zslofficial.bsky.social · May 7

This new approach minimises on-the-ground fieldwork in an area where conflict is widespread, and provides vital data needed to support conservation interventions for this rare and iconic subspecies. Find out more:
besjournals.onlinelibrary.wiley.com/doi/10.1002/...

Spotted! Remote camera traps used in a novel design reveal a perilous situation for the Critically Endangered Northwest African cheetah (Acinonyx jubatus hecki) in a conflict‐affected protected area in Benin

This first long-term study of the Critically Endangered Northwest African cheetah in Benin highlights a very low density. The Pendjari National Park is likely to be a core area for cheetah in the WAP...

besjournals.onlinelibrary.wiley.com

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Reposted by Andrea Zampetti

Cher Chow 周馥溢 @cherfychow.bsky.social · May 15

🚨New data paper/open data alert!🚨 BioTIME v2.0 is out now! We've expanded the database with improved spatial and taxonomic coverage, with a new R package! As always, free, public, and open acess :)

Paper:
onlinelibrary.wiley.com/doi/10.1111/...

Database:
biotime.st-andrews.ac.uk

BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series

Motivation Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The up...

onlinelibrary.wiley.com

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Reposted by Andrea Zampetti

Jarrett Byrnes @jebyrnes.bsky.social · May 15

More shots fired in the #causalInference #ecology literature! 🌍

Lauren Brent @ljnbrent.bsky.social · May 15

I'm guessing this is probably very well worth the read! onlinelibrary.wiley.com/doi/epdf/10....

Ecology needs a causal overhaul

Ecology has yet to embrace causal inference, yet most questions in ecology are causal. Despite the common use of terms that imply causation, such as “shapes”, “drives”, or “impacts”, many studies shy...

onlinelibrary.wiley.com

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Reposted by Andrea Zampetti

Elif Akata @elifakata.bsky.social · May 12

Our paper is now out in Nature Human Behaviour! 🎉 We use games from behavioural economics to explore how LLMs behave in repeated social interactions, revealing both self-interested strengths and coordination blind spots, and propose strategies to improve AI-human collaboration.

Nature Human Behaviour @nathumbehav.nature.com · May 8

What happens when Large Language models play repeated economic games? This new study from @elifakata.bsky.social et al investigates across a range of models and games.
www.nature.com/articles/s41...

Playing repeated games with large language models - Nature Human Behaviour

Large language models perform well in self-interested games such as the iterated Prisoner’s Dilemma but struggle in games that require coordination. Social reasoning strategies can improve cooperative...

www.nature.com

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Olivier Gimenez 🦦 @oaggimenez.bsky.social · May 12

Here are a few slides to present our paper in a short talk for the annual days of our national group in statistical ecology ecostat2025.sciencesconf.org

doi.org/10.6084/m9.f...

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SCB Italy @scbitaly.bsky.social · May 10

The Student Award for Best Oral Presentation goes to @andrewzampetti.bsky.social for his talk on TropiCam-AI: an automated classifier of Neotropical arboreal mammals and birds from camera-traps. Well done, Andrea!
Special mention to Claire Louise Penton for securing 2nd place—congrats! #ECR2025

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Reposted by Andrea Zampetti

Virginia Gewin @virginiagewin.bsky.social · May 5

Currently, roughly 90–95% of AI usage in biodiversity
and conservation research is simply identifying
a species of interest in gobs of data, says
@sarameghanbeery.bsky.social of the Massachusetts Institute of Technology, co-founder of MegaDetector.

But that promises to change swiftly.

Nature Methods @natmethods.nature.com · May 5

In this month's Technology Feature, journalist @virginiagewin.bsky.social explores how scientists working in the ecology, biodiversity and conservation fields are adopting AI tools to accelerate their research.

Read it here:
www.nature.com/articles/s41...

AI carves out a niche in ecology and conservation research - Nature Methods

Scientists who study biodiversity are in the rapid adoption phase of AI. They are finding that what AI can — and can’t — do is shifting rapidly.

www.nature.com

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Reposted by Andrea Zampetti

GMA Lab @globalmammal.bsky.social · May 7

Excited to share that Martina Fernando, PhD student at our Global Mammal Assessment Lab, just presented her work "Developing a global probability map of illegal hunting on terrestrial mammals"with Michela Pacifici and Marco Davoli 🐘🌍 #ConservationScience #IllegalHunting #ECR2025

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Miguel Bastos Araújo, PhD @miguelbaraujo.bsky.social · Feb 13

The SDM (Species Distribution Modelling) course is back, now in its 10th edition. With Babak Naimi.
www.maraujolab.eu/2025/02/13/2...

2025 Species Distributions Modelling Course

Several people wrote Miguel Araújo and Babak Naimi expressing interest in a new edition of the SDM course. In response to those requests a full 10th edition of the course is now scheduled for November...

www.maraujolab.eu

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Reposted by Andrea Zampetti

Jonas Geschke @jgeschke.bsky.social · Dec 20

Adoption of AI in conservation will lead to beneficial outcomes for conservation effectiveness and improve our understanding of the natural world. However, it will not wholly replace established conservation techniques, education, and on-the-ground research.

📑 doi.org/10.1016/j.tr...

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Dan Larremore @danlarremore.bsky.social · Dec 15

😳 WithdrarXiv 🙏

- Dataset of 14K+ withdrawn arXiv papers
- associated retraction comments
- entire history through 09/24
- taxonomy of retraction reasons, from critical errors to policy violations
- WithdrarXiv-SciFy, enriched version w/ scripts for parsed full-text PDFs

arxiv.org/abs/2412.03775

WithdrarXiv: A Large-Scale Dataset for Retraction Study

Retractions play a vital role in maintaining scientific integrity, yet systematic studies of retractions in computer science and other STEM fields remain scarce. We present WithdrarXiv, the first larg...

arxiv.org

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Reposted by Andrea Zampetti

Global Ecology 🌐 @global-ecology.bsky.social · Dec 13

Great worflow and R package for any one working of ecological trait database !!

by Elizabeth Wenk et al. in Ecological Informatics Nov. 2024

www.sciencedirect.com/science/arti...

🧪🌐🌍

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Reposted by Andrea Zampetti

Kirsty Franklin @kirstyfranklin.bsky.social · Dec 14

New paper! If you use time-lapse cameras, this one's for you!

Proud of this collaboration with UEA Computing Sciences' Marcus Jenkins & Michal Mackiewicz to improve object detection for time-lapse imagery using temporal features. 📷🖥️⏲️

Open Access in Sensors: mdpi.com/3088004

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Andrea Zampetti @andrewzampetti.bsky.social · Dec 4

That's awesome! Can I be added please?

Reposted by Andrea Zampetti

Sara Beery @sarameghanbeery.bsky.social · Dec 4

I started to put together a starter pack for research in AI+Ecology, check it out and let me know if you would like to be added!

go.bsky.app/8zugFF6

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Andrea Zampetti @andrewzampetti.bsky.social · Dec 3

🫂 Thanks to the co-authors @davidemirante.bsky.social, @ppalencia.bsky.social and
@lsantinieco.bsky.social for their critical contribution, and a special aknowledgement to the people at Tenuta Sant'Egidio for their precious field support 🐗🦉! #AI4Conservation

Andrea Zampetti @andrewzampetti.bsky.social · Dec 3

‼️🔴 Our results suggest that popular algorithms for animal detection such as MegaDetector can be safely integrated with CT-DS and REM, and that final density estimates are reliable. Moreover, CT-DS showed to be robust even when taxonomic classifier accuracy was as low as 50%.

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