Hello! I would like to learn where to start learning. I'm more of a wildlife field biologist and so the machine learning, R stat analysis part of analysis (in my case avian bioacoustics) is a bit overwhelming. Do you have any recommendations on where to start, which youtube videos to watch, etc. Thank you!

I think a conservation tech agent would be most useful if it connects directly to existing WILDLABS resources, rather than trying to replace tools.

Ideally, it could Link questions to projects from the WILDLABS Awards or The Inventory, as well Suggest relevant forum discussions Recommend community members with similar experience. An then at the end propose technical solutions like ML models, devices, or toolkits for specific tasks 

I'm thinking of doing something like...

prompt

"How can I detect when an insect is attacking a tree using dendrometer data?"

agent

This is a time-series event detection problem. Based on previous project in WildLabs a BiLSTM neural network can be trained to recognise attack patterns by analysing the sequence of stem diameter changes before, during, and after an attack. These patterns may include sudden shrinkage or irregular oscillations caused by stress or resin production.

The agent could then link to:

• Projects using sensors or time-series AI in behaviours or events monitoring
• Open-source tools for LSTM-based classification
• Forum threads or community contacts who’ve worked on similar topics, models, tools, etc

Would love to collaborate on this we are curently building agents for conservation 
Kind regards
Olivier