I've been using it a bit for GIS and remote sensing. Automating code snippets and fixing errors.

Also used it for a few excel queries and some marketing related tasks.

What I'm so excited about is if it is this good now what's ai going to be like 10 years from now?

I really think 2023 is the year ai is going mainstream and people are going to have that 'aha so this is what it is all about moment'.

Great idea for a discussion Isobel. I was thinking also that it is likely to be a tool for good (rather than evil). 

I have no idea how to use it (was googling about it yesterday...), so any infom shared here within WildLabs would be greatly received by many, I believe.

C.

Really excited to see ChatGPT making waves even in this community! I think there's a huge amount of potential for not just ChatGPT, but LLMs (large language models) and NLP (natural language processing) more broadly, to have concrete impacts on conservation. Like others have already mentioned, it can definitely be useful as a coding assistant, especially for people who don't have the strongest programming skills (and I recommend anyone to check out tools such as RTutor if you haven't already!). Beyond that, the utility within the context of scientific research could be quite potent. Climate scientists have begun to leverage NLP in a variety of contexts, e.g. using ClimateBERT to analyze climate risk disclosures, and I have seen conversations about the possibility of using NLP to analyze biodiversity offset initiative reporting, for example. Personally, I also see some really exciting opportunities for using ChatGPT and other NLP tools to assist in knowledge management, synthesis, dissemination etc.

I have some pretty concrete ideas about what this could look like, but more than anything I'd be really curious to discuss it in this community to see what use cases people can imagine! @StephODonnell if you're looking for someone to facilitate a conversation on this I'd be happy to host! I've been hosting some conversations on ChatGPT within a different industry and it's sparked some really cool conversations 🤗

I'd be happy to chat with you if you wanted! My expertise is within passive acoustic monitoring particularly. The Conservation Tech Directory might be useful for you in identifying relevant actors within the space.

Happy to contribute tgray@woodsholegroup.com 

My original background is in ecology and conservation, and am now in the elected leadership of the Gathering for Open Science Hardware which convenes researchers developing open source tech for science. I am not working on a specific piece of technology right now, but am happy to contribute some higher-level views for your interview if that helps.

In DRCongo and just discovering this now. We operate in Lomami National Park, very remote regions, and our issue includes individual recognition of bonbos and forest elephants from camera trap data.  Tim van Dam's comment hit home for me in that we have NO internet acces in the field sites, with internet, but not much access to cloud based propgram only in the cities of KIndu and Kisangani, over 100km from the field sites. We would liketo be able to download and use software, and even participate in testing some applications, but time lags are involved since data has to come out of thefield to move into the propgrams.  I think basically we can do a lot with low tech solutions, and selectively move up the analytical chain but there is no question that we will remain with some fundamental connectivity problems....Is anyone esle facing thes kinds of constraints? Can anyone suggest some basic "recognition software" and a working group to allow us to get into this area and see what we can produce and contribute? John Hart www.bonoboincongo.com  

This article in Seattle Times does pretty much a smiliar thing with Bears and you may find some solutiosn from their work

https://www.seattletimes.com/business/technology/training-facial-recognition-on-some-new-furry-friends-bears/

Why would you want to avoid alerting the rangers ?

You don't need high tech for this; elephants leave very obvious tracks and sign. 

Hi Tyler,

Would like to introduce you to Ceres Tags products

• Ceres Tags products come in boxes of 5, 10 and 24. 
• There are some software partners such as Earthranger, Mapipedia and possibly CiboLabs that would be able to assist you with your mapping vegetation requirements
• Ceres Tag does not require any towers, base stations and infrastructure. This allows you to see any movements from the heard outside of their normal herd (boundary alerts), and you will not be disturbing any of the flora and fauna with infrastructure set up. 
• For the timing you are looking at, Ceres Wild pings directly to satellite 24 times a day. For Ceres Trace and Ceres Ranch there are 4 within 24 hours. Taking into consideration, when you set up alert areas, you will get them directly to your phone/laptop via your software of choice
• Ceres Ranch is a reusable tag that has just been launched. Use it on this project, remove the tag and then use the tag on your next project
• The software you choose will assist with the history of your animal movements. Ceres Tag is integrated with 11 software partners and in-development with 18 software partners https://cerestag.com/pages/software-partners
• Understanding it is a short-term project, you would be able to use Ceres Tags products without the additional expense of setting up and removing infrastructure- towers, gateways
• With Ceres Tag, you are purchasing the box of tags and picking a suitable software to deliver the information you require. On average, a box of 10 Ceres Trace Tags, is the same as 1 LoRaWAN tower. 

I just came across this interesting paper in which seismic monotoring of animals like elephants was mentioned. 

This is the study refered to:

Cheers,

Lars

Hey Sara,

Thanks again for the session today--it was super helpful! 

I have access to a pretty large network of camera trappers, and I'm currently surveying them to see who might be willing to share data with me. That being said, I can likely get data-sharing agreements with each of these agencies sorted out before the application deadline, but may not have the data in-hand by this time due to a lack of resources for transferring such large amounts of data. 

I've used Azure Storage Explorer before to rapidly transfer large datasets like this, so I think it might be easier to compile all data in one location once we have access to the VMs. Would it be acceptable to apply with the signed data-sharing agreements in mind, and with the intent of organizing all of the data once we acquire access to the computing resources? 

Quick reminder that the deadline for applications is just shy of a week away. 

This workshop is particularly geared to teach ecologists computer vision tools to apply to their research.

Tired of trying to manually count how many animals are in your images? Tired of listening to audio files to classify/detect species? Looking to clean and manage your data so that you can more easily access and analyze it? We're happy and eager to help you apply computer vision tools to try to help with these (and more!) tasks!

More info: 

Feel free to comment here or message me directly if you have any questions!