Group

Software Development / Feed

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.

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Webinar: Virtual Ecosystem Scenario Viewer

OCTO
This upcoming webinar featuring speakers from NOAA will explore the uses for the new Virtual Ecosystem Scenario Viewer tool in illustrating the responses of virtual marine ecosystems to a range of living marine resource...

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Competition: 2020 Hackaday Prize

The 2020 Hackaday Prize competition has begun! This year, Conservation X Labs has partnered with the Hackaday Prizes as one of four nonprofits seeking tech-based solutions to urgent challenges. Conservation X Labs'...

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Explorer Classroom: Gautam Shah

National Geographic
Join National Geographic Explorer Gautam Shah in NatGeo's Explorer Classroom on May 21st at 2PM EDT. Gautam will discuss Internet of Elephants' latest project, Wildeverse, a mobile game that brings primate conservation...

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WILDLABS Tech Tutors: Season One

WILDLABS Team
We've wrapped season one of Tech Tutors! Thank you to all of our Tutors, and to everyone who attended and made these episodes so exciting! You can find all of our episodes on the WILDLABS Youtube Channel, and find...

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Creating the Wildeverse

The new mobile game Wildeverse from Internet of Elephants lets players digitally teleport primates into their homes through a unique and engaging blend of technology and storytelling. Wildeverse creator and National...

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Get To Know FIT

We're excited to welcome the WildTrack FIT group to our community! Today, we'd like to introduce you to the Footprint Identification Technique (FIT) and share how you can incorporate this tracking method into your field...

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Competition: iWildCam 2020

Want to compete in the iWildCam 2020 competition identifying species in camera trap images to support biodiversity monitoring efforts and automatic species classification model improvements? Because the Workshop on Fine...

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Call for Submissions – Arm Research Summit 2020

The 2020 Arm Research Summit is accepting submissions from all research disciplines focusing on the role of technology in solving global challenges. Submissions should reflect the potential of sustainable, secure, and...

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WILDLABS Tech Hub: WWF PandaSat

At the 2018 London Illegal Wildlife Trade Conference, we announced the WILDLABS Tech Hub, an accelerator programme created to support the development and scaling of groundbreaking technological solutions addressing the ...

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WILDLABS Tech Hub: Poreprint

At the 2018 London Illegal Wildlife Trade Conference, we announced the WILDLABS Tech Hub, an accelerator program created to support the development and scaling of groundbreaking technological solutions addressing the ...

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Webinar: Citizen Science Online

SciStarter
Join WILDLABS community member Dr. Meredith Palmer from Snapshot Safari and other researchers from various disciplines in SciStarter's webinar, Citizen Science Online! Speakers will celebrate this April's Citizen...

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Competition: Plastic Data Challenge

Ellie Warren
Are you ready for the Plastic Data Challenge? This global contest wants your innovative ideas for improving the plastic waste management and recycling chain in South and Southeast Asia. Participants can consider...

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Hawai'i Conservation Conference

Hawaiʻi Conservation Alliance
The Hawai'i Conservation Conference is accepting abstracts in several categories, including emerging technological advances in the conservation field. This is an exciting opportunity to present your latest research to...

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Fence-Based Elephant Early Warning System

Technology is rapidly changing the way communities monitor wildlife movement and prevent or mitigate human-wildlife conflict. This case study from Appiko delves into field testing of the open source sensor warning...

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