Researchers at @eco4cast are calling for greater investment in ecological forecasting to mitigate climate change in a new @NatureClimate article Read more about their efforts

We are working with the @esa_statistics on the next round of the Statistical Methods webinar series. Let us know of R or Python packages you want to learn about, or if you have a package you have developed, you want to share with the community.

🎉We've hit the 50th Issue of the EFI Newsletter! 🎉. Find updates about the EFI2025 Conference, an upcoming book club, a short course in Africa, EFI chapter & working group activities, and the release of recorded tutorials on scientific engagement.

RT @NEON_sci: The call for applications is closing May 31! Submit your application to attend the NEON Convergence Summit 2025: Advancing Co….

Deadline next Monday, April 14! . Submit late-breaking poster abstracts and register for the EFI2025 Conference at Virginia Tech on May 19-22. We've got a great lineup of talks, posters, workshops, and working group activities. Join us!. Find details at:

Issue 49 of the EFI Newsletter is out!. Find info about the new EFI Steering Committee, new funding, upcoming seminars, and EFI2025 Conference reminders. See the Conference schedule and register at

EFI2025 Conference Update!. We are keeping the early bird registration fees throughout the full registration period until April 14, 2025. We look forward to having you join us in May! Find the registration and full conference details at:

The conference website also lists the draft schedule, workshops & working group details, and the Conference Handbook with info about the venue, social opportunities, travel recommendations, and more!. Full registration and late breaking poster submissions close on April 14, 2025.

Early bird registration closes this Friday, March 14 for the @ecoforecast Ecological Forecasting Initiative (EFI) 2025 Conference! . The conference is at Virginia Tech on May 19-22. Find the registration link in the "Conference Information" section at:

European @eco4cast seminar tomorrow, 12th March!

Issue 48 of the EFI Newsletter is out!. There are many updates to explore including a statement of support for the EFI community, elections for the EFI Steering Committee, upcoming seminars, updates from working groups, and new teaching & coding resources.

New EFI blog post! Resources for Reviewing Code. This blog post gives an overview of the importance of reviewing code and shares resources and templates that individuals in the EFI community have developed and found useful when reviewing code.

This process will be illustrated using BioCLIP, a general AI model that was trained on 450,000 taxonomic labels, to classify a large set of camera trap images. Additional instructions to prepare for the seminar can be found at:

This seminar will demonstrate a Python workflow to use AI models to automatically process large image datasets, test the accuracy of those models, and perform downstream ecological modeling.

Computer vision and biodiversity monitoring is an emerging field that combines artificial intelligence with ecological research to improve the accuracy and efficiency of wildlife tracking.

📣Join us next Monday! . EFI and @esa_statistics will host Sara Beery and Timm Haucke on March 3 at noon US ET for the Statistical Methods webinar on "Ecological Modeling with AI and Python". Register at:

RT @USGS_Water: ✨ What you’ll find:.- Historical chlorophyll data from USGS gaging stations.- Forecasts from machine learning models submit….

Do you know any students that might be interested in ecological forecasting? The @eco4cast .student/early career association is hosting two workshops including a @NEON_sci beetle forecast. Both are targeted to early career (e.g., undergraduate) audiences, but are open to all!

This process will be illustrated using BioCLIP, a general AI model that was trained on 450,000 taxonomic labels, to classify a large set of camera trap images. Additional instructions to prepare for the seminar can be found at:

This seminar will demonstrate a Python workflow to use AI models to automatically process large image datasets, test the accuracy of those models, and perform downstream ecological modeling.

Computer vision and biodiversity monitoring is an emerging field that combines artificial intelligence with ecological research to improve the accuracy and efficiency of wildlife tracking.