One barrier that was discussed in the presentation was the "risk" or uncertainty of a payoff when talking to potential funders. It seems to me that the "risk" factor of collaborations like this, for funders, would be analogous to the investment and payoff when developing a genomics program. Relative to traditional field research, it takes a much greater investment in time, with different expertise, to create a reference genome for a species of interest and then pull SNPs, etc. Nevertheless, funders seem to recognize the potential for genomic research and genomic tools. Do you think that greater openness to “risk” in conservation genomics results from closer intellectual proximity (i.e., molecular biology vs organismal biology), or to conservation genomics being a more mature field (i.e., more examples of success), or to other factors? If intellectual proximity is a key factor, then conservation tech collaborations will continue to face this barrier, but if lack of successful examples are a key factor, then perhaps this barrier will become less of an issue for conservation tech in the future. Thoughts?

Hi. Just watched the Youtube version (I'm in the unable to watch live hemisphere) and wanted to say that was a great talk. I wish it could have gone for another hour. I liked hearing about the issues and concerns from Melanie on the biology/ecology side. Also could totally relate to what Ed was talking about from the tech side about how it's difficult to have long term collaborations since there isn't really a conservation technology career path at the moment. 
I think one of the things we're trying to do with courses like Build Your Own Datalogger is to get people involved in wildlife/conservation side more comfortable with the tech. The goal is to hopefully build a shared repository of technical knowledge that people in the wildlife community can contribute to and benefit from. 

Akiba

Hi Wildlabbers,

Just popping in to share this very cool primer for beginners to embedded machine learning from our tutor Daniel Situnayake! If you're interested in learning more about the basics of TinyML, this is a great resource.

Find the link here!

-Ellie

Hi

I don´t know about that specific model number, but all "modern" Bushnell's I've seen had that option. But have in mind that after the picture the camera needs some time to start the video, sometimes up to 9 seconds, which for many animals might be excesive. In my case working with carnivores in the high Andes, we missed most of the videos.

Maybe they improve on this, the experience I'm mentioning was with a model bought two years ago named Bushnell Trophy Cam Aggressor (Low-Glow), 36 LEDs 14MP (I don't know the model number).

I hope it helps.

Bests

This is awesome, Tom! I think it would definitely be really helpful for individual identification of animals, as the 3D would give you a better perspective on distinctive markings, coloration, size, etc.