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Manish Gadhvi added a new Discussion - "Reproducible Builds in Software Development" to Software Development
Manish Gadhvi added a new Discussion - "Transitioning to GIS from Tech" to Geospatial
Manish Gadhvi completed a course - "GIS E-learning Course 2: Introduction to QGIS"
Manish Gadhvi enrolled on a new course - "GIS E-learning Course 2: Introduction to QGIS"
Manish Gadhvi completed a course - "GIS E-learning Course 1: What is GIS and why should you care?"
Manish Gadhvi enrolled on a new course - "GIS E-learning Course 1: What is GIS and why should you care?"
Manish Gadhvi added a new Discussion - "Guidance for a career changer" to Early Career
Groups
Group
- Latest Discussion
- Conservation Technology - Paris, France
Just starting your conservation tech career path? Our Early Career group is the best place to network, chat about your master's projects, and seek advice from your peers and those who have been down this path before! Join now to get to know community members and students from around the world!
🌍 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. Â
Group
This group is for anyone interested in open source technologies for ecology and conservation. We welcome contributions from both makers and users, whether active or prospective. Here, we believe that open source hardware, software, and data are key to conducting both rigorous and honorable science and research. It is a place to share novel or existing technologies, exchange resources, discuss new projects, ask for advice, find collaborators, advocate for adopting open source technologies, and share strategies for making them sustainable. Open Source Solutions naturally overlaps with existing WILDLABS groups, and we aim to embrace this overlap while maintaining our unique space for growth of Open Source Solutions as a priority in conservation science.
- Latest Resource
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- A breakthrough in low cost sea turtle satellite tagging and telemetryÂ
It was on the shores of French Guiana, at 4am in the morning, that after 8 years of research and development to develop a ready-to-deploy open source satellite sea turtle tag, we achieved our goal.
Group
This group is for anyone interested in applying software to conservation and wildlife research. Whether you're a developer eager to contribute to conservation or a newbie with valuable data and ideas but limited software experience, this group connects people with diverse expertise. It provides a space for asking questions, sharing resources, and staying informed about new technologies and best practices.
🌍 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. Â
Group
- Latest Discussion
- Anyone using Microsoft Sparrow?
Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera traps and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data. The AI For Conservation group is intended to unite and inspire all WILDLABS community members—whether already involved in AI for conservation, or not—to understand how to use and/or directly contribute to open-source research and development efforts.
- Latest Resource
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- Open-Source Solutions for Amphibian Passive Acoustic Monitoring: Lessons from Patagonia
Monitoring amphibians across the temperate forests of Patagonia presents significant logistical and technical challenges. Remote locations, harsh environmental conditions, and the large volumes of data generated by Passive Acoustic Monitoring (PAM) can make long-term biodiversity surveys difficult to implement and maintain. In addition, environmental data often relies on multiple independent devices, increasing costs, complexity, and logistical demands in remote field conditions. Through the WILDLABS Awards 2025, our team explored practical ways to address these challenges by combining open-source hardware, environmental sensing, and AI-assisted acoustic analysis.
Group
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.
- Latest Resource
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- Wild Moves and Wild Album: New GBIF Data Portals for Animal Tracking and Camera Trap Data
New data portals are making it easier to discover and explore wildlife tracking and camera trap datasets from around the world.Â
Group
- Latest Discussion
- London Climate Action Week 2026 Conservation Technology Related Events?
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.
- Latest Resource
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- The State of Conservation Technology: What Five Years of Data Tell UsÂ
Our 2026 report is here, drawing on five years of community-sourced data to explore how the field is evolving, where progress is being made, and where collective action is still needed.
Group
- Latest Discussion
- 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. Â
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Manish Gadhvi's Content
Discussion
I’ve been spending a lot of time lately with GNU Guix and Org-mode, mostly because I enjoy using both for my technical work (yay Emacs!)I use...
28 March 2026
Discussion
Hi Wildlabs — quick question for the community: how important is reproducibility in your day-to-day conservation tech work?A few prompts to help:How important is...
8 September 2025
Discussion
Hi everyone,I’m looking for advice on breaking into geospatial data engineering, particularly within conservation. My background is in software development, data engineering, and...
17 March 2025
Discussion
Hello everyone,I hope this message finds you well. I’m reaching out to this community as I’m currently transitioning into a career focused on data engineering and analysis, with a...
13 January 2025
Manish Gadhvi commented on "Reproducible Builds in Software Development"