Johannes Dollinger
johdolgha.bsky.social
Johannes Dollinger
@johdolgha.bsky.social
PhD in DS for ecology 👨🏻‍💻
Modeling biodiversity 🌱
Bündnis 90/Die Grünen 💚 | YFU 💜
Excited to join this year's LPS 🇪🇺, and happy to chat about a convenient way to integrate climate data in deep learning pipelines (Tue, Posters, Section L-M-N).
June 23, 2025 at 8:33 AM
Reposted by Johannes Dollinger
🌱 Registration is now OPEN for the AI + Environment Summit 2025!
October 1st, 2025 at Innovation Park Zurich

Join us for a full-day event at the intersection of artificial intelligence, biodiversity and climate.

🎟 Spots are limited, so secure yours now: champ.ly/S8jyQwuo
June 4, 2025 at 10:11 AM
Reposted by Johannes Dollinger
Great talk on a deep learning application for ecology by Johannes Dollinger (@johdolgha.bsky.social) from the Uni Zürich!

Main takeway: deep learning products should not primarily be used to replace ecological research but can rather help guide it (e.g., by identifying priority areas) 💻🎯🥾
January 29, 2025 at 2:11 PM
Reposted by Johannes Dollinger
The AI for Conservation community on BlueSky is growing quick! Here's a starter pack of folks working in this area - please share and nominate more folks (yourself or others) to be added. And if you are on the list but wish to be removed, please let me know! #AI4E 🧪

go.bsky.app/UNUCejU
November 17, 2024 at 9:11 AM
🤖🌱 The abstract submission to the ESA Living Planet Symposium was extended by two days until Tuesday (Dec 3rd), so take your chance: lps25.esa.int/
Especially session A.02.02 "Terrestrial and Freshwater Biodiversity" will be interesting for the AI for conservation conversation.
Living Planet Symposium 2025
Living Planet Symposium 2025: From Observation to Climate Action and Sustainability for Earth. 23 - 27 june 2025 Vienna, Austria
lps25.esa.int
November 30, 2024 at 11:24 AM
🌱🤖 Thanks to the data collection efforts by (citizen) scientists, we can model species distributions to new levels of granularity. Check out our work on extracting useful information for it from satellite imagery:
github.com/ecovision-uzh/sat-sinr
GitHub - ecovision-uzh/sat-sinr: [ISPRS 2024] Sat-SINR: High-Resolution Species Distribution Models through Satellite Imagery
[ISPRS 2024] Sat-SINR: High-Resolution Species Distribution Models through Satellite Imagery - ecovision-uzh/sat-sinr
github.com
November 26, 2024 at 3:26 PM
💚🇩🇪🇪🇺💚 Ein starter pack für wichtige Accounts aus dem B90/Grünen Ökosystem. Bitte gerne weitere Vorschläge kommentieren.

Anmerkung: Als Ersteller kann ich mich leider nicht rausnehmen, also da dann bitte wieder entfolgen.
go.bsky.app/RcttLCN
November 26, 2024 at 3:07 PM