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Jenna Kline added a new Article - "New Paper: Drones and Computer Vision for Collective Animal Behavior Studies" to Edge Computing
Jenna Kline added a new Article - "New Group Announcement: Edge Computing" to Community Base
Jenna Kline contributed to Product - "BioCLIP"
Jenna Kline contributed to R&D Project - "SmartWilds: Bridging Digital and Natural Worlds"
Jenna Kline contributed to Product - "WildWing"
Jenna Kline contributed to Product - "KABR-tools"
Jenna Kline contributed to Product - "KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos"
Jenna Kline contributed to Product - "MMLA: Multi-Environment, Multi-Species, Low-Altitude Drone Dataset"
Jenna Kline commented on "Welcome to WILDLABS! "
11 months ago
Groups
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Welcome to the home of the Women in Conservation Technology Programme (WiCT)! This is a space for the women and mentors involved in the programme to keep in touch, share updates and resources, and problem solve together! Drop into our group to say hello and keep in touch with the programme and participants.
- Latest Resource
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- Introducing the 2026 Cohort: Women in Conservation Technology Programme, Tanzania 2026
We're delighted to announce the launch of our fourth Women in Conservation Technology Programme, in partnership with the Grumeti Fund and with support from the JRS Biodiversity Foundation. Join us in welcoming the 2026 cohort as they kick off the training with an in-person workshop in Tanzania this July!
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- Latest Discussion
- Getting behavioral data out of datasets that weren't built for it
Want to talk about sensors that don't quite fit into any of our tech-specific groups? This is the place to post! From temperature and humidity to airflow and pressure sensors, there are many environmental sensing tools that can add valuable data to core conservation monitoring technologies. With the increasing availability of low-cost, open-source options, we've seen growing interest in integrating these kinds of low bandwidth sensors into existing tools. What kinds of sensors are you working with?
🌍 Conservation technology is transforming how we protect wildlife, but are we thinking carefully enough about the risks? Drones, camera traps, GPS trackers, acoustic sensors, AI, and remote sensing have become essential tools for conservation practitioners around the world. They help us monitor species, detect threats, and respond faster than ever before. But these same technologies can also introduce unintended risks, and in some cases, can be exploited by those seeking to harm the very wildlife we're trying to protect. 🦏 Input now and/or join the discussions/research.
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- ADD SOME QGIS ZHUSH
Geospatial data and analysis are critical for conservation, from planning to implementation and measuring success. The Geospatial group focuses on all aspects of this field, from field surveys to remote sensing and data development/analysis to GIS systems. The ability to visualize and analyze spatial data underpins many areas of conservation, this group may serve as a landing point and gateway for those new to conservation technology.
🌍 Conservation technology is transforming how we protect wildlife, but are we thinking carefully enough about the risks? Drones, camera traps, GPS trackers, acoustic sensors, AI, and remote sensing have become essential tools for conservation practitioners around the world. They help us monitor species, detect threats, and respond faster than ever before. But these same technologies can also introduce unintended risks, and in some cases, can be exploited by those seeking to harm the very wildlife we're trying to protect. 🦏 Input now and/or join the discussions/research.
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Used to pick up signals from tracking gear on the ground, collect images of wildlife and habitats from the air, gather acoustic data with specialized hydrophones, or even collect snot samples from whales' blowholes, drones are capable of collecting high-resolution data quickly, noninvasively, and at relatively low cost.
🌍 Conservation technology is transforming how we protect wildlife, but are we thinking carefully enough about the risks? Drones, camera traps, GPS trackers, acoustic sensors, AI, and remote sensing have become essential tools for conservation practitioners around the world. They help us monitor species, detect threats, and respond faster than ever before. But these same technologies can also introduce unintended risks, and in some cases, can be exploited by those seeking to harm the very wildlife we're trying to protect. 🦏 Input now and/or join the discussions/research.
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Advancements in communications networks that connect sensors and enable data retrieval across landscapes are revolutionizing conservation fieldwork. As the infrastructure that helps our core tools talk to each other in even the most remote places, the importance of connectivity cannot be overstated. Whatever solutions you're working with - and on whatever scale - this group is the place to discuss all things related to connectivity in conservation, from fiber-optic cables to LoRa to Swarm.
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- Synthesis of Insights / Learning session 14: Rights of Nature by Tribal and First Nations
Synthesis of insights of our 14th online learning session, using dialogue to explore the workings, developments, (im)possibilities, and emerging insights of diverse approaches and praxes for Co-creation with the More-than-Human world
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The WILDLABS Community Base is the ideal place to get oriented with the all that our community platform offers, hear about news and opportunities, and to meet new friends and collaborators.
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- Announcing the WILDLABS Awards 2026 Grantees
Learn about the 16 selected projects that are working to innovate, scale, and adopt conservation technology for this year’s WILDLABS Awards.
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- Raspberry Pi Alternatives for Edge AI!
This group unites those working at the intersection of edge AI and conservation, focusing on real-time, on-device data processing for environmental monitoring to facilitate sharing tools, models, and strategies to overcome challenges in remote, low-connectivity areas.
🌍 Conservation technology is transforming how we protect wildlife, but are we thinking carefully enough about the risks? Drones, camera traps, GPS trackers, acoustic sensors, AI, and remote sensing have become essential tools for conservation practitioners around the world. They help us monitor species, detect threats, and respond faster than ever before. But these same technologies can also introduce unintended risks, and in some cases, can be exploited by those seeking to harm the very wildlife we're trying to protect. 🦏 Input now and/or join the discussions/research.
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- Latest Discussion
- Getting behavioral data out of datasets that weren't built for it
Conservation tech work doesn't stop after data is collected in the field. Equally as important to success is navigating data management and processing tools. For the many community members who deal with enormous datasets, this group will be an invaluable resource to trade advice, discuss workflows and tools, and share what works for you.
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- BAM (Biodiversity Around Me) widget
I am happy to introduce and share our new project BAM, to make open biodiversity data easily accessible to everyone, everywhere!
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Jenna Kline's Content
Discussion
Have you ever tried to reuse a published drone dataset, only to realize key context was missing? Or wanted to publish your drone dataset, but not sure how to start?We are seeking...
4 March 2026
Article
Connecting people, projects, and possibilities at the edge.
4 November 2025
Article
From detection to behavior, we outline how to run low-impact, reproducible wildlife studies using drones and edge AI.
29 August 2025
Article
New Group Announcement: Edge Computing
Jenna Kline and 1 more
We are thrilled to start a brand new group: Edge Computing! Meet Jenna Kline and Youssef Bayouli, the two Group Leaders for the 2025-2026 term.
19 August 2025
MMLA is a multi-environment, multi-species drone dataset designed to improve wildlife detection in ecological monitoring by providing diverse, high-resolution video annotations for six species across three sites, enhancing model performance for autonomous drone systems.
This novel in-situ dataset of animal behavior recognition from drone videos, collected at the Mpala Research Centre in Kenya, provides over 10 hours of annotated footage of giraffes, plains zebras, and Grevy’s zebras, offering a resource for advancing ML for behavior recognition.
Product
KABR-tools is a suite of software tools for automating the annotation and analysis of animal behavior in drone videos, designed to support animal behavior ecology research and machine learning model development.
Product
WildWing is an open-source unmanned aerial system (UAS) that autonomously collects high-quality behavioral video data of group-living animals, ensuring consistent footage for automated behavior recognition and wildlife monitoring.
This R&D project serves as a testbed for distributed edge AI systems in conservation, using multimodal sensors and autonomous monitoring to enhance wildlife tracking, behavior analysis, and ecological research.
Product
BioCLIP is a large-scale multimodal model trained on millions of biological images used for species classification, habitat identification, and trait prediction, offering ecologists a powerful tool for biodiversity analysis and conservation.
Jenna Kline's Comments
A contact on the following Inventory items
Product
WildWing is an open-source unmanned aerial system (UAS) that autonomously collects high-quality behavioral video data of group-living animals, ensuring consistent footage for automated behavior recognition and wildlife monitoring.
Product
KABR-tools is a suite of software tools for automating the annotation and analysis of animal behavior in drone videos, designed to support animal behavior ecology research and machine learning model development.
This novel in-situ dataset of animal behavior recognition from drone videos, collected at the Mpala Research Centre in Kenya, provides over 10 hours of annotated footage of giraffes, plains zebras, and Grevy’s zebras, offering a resource for advancing ML for behavior recognition.
MMLA is a multi-environment, multi-species drone dataset designed to improve wildlife detection in ecological monitoring by providing diverse, high-resolution video annotations for six species across three sites, enhancing model performance for autonomous drone systems.
Jenna Kline commented on "AI for Impact Series at WWF: Looking for experts/speakers"