The platform provides a great opportunity to work with industry experts and other AI professionals on a variety of innovative projects.
Home / Challenges / All Projects / Mapping “Dark Corridors” for Bats in Brussels
This Omdena Local Chapter Challenge runs for 7 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world.
You will work on solving a local problem, initiated by the Omdena Brussels, Belgium.
The goal of this project is to create a map of lightning pollution in Brussels, to find the areas where light pollution has been effectively tackled and areas where improvements are due.
An addition would be to add on the map the feeding point of bats, and to look for “dark corridors”, i.e. non-lightened area giving the possibility for bats to move from one point to another.
The project results will be made open source. Data should be available to NGOs working in species conservation, public institutions looking to improve their neighbourhood, and concerned citiern looking for more information.
Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.
A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.
And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.
Beginner-friendly, but also welcomes experts
Education-focused
Open-source
Duration: 4 to 8 weeks
The platform provides a great opportunity to work with industry experts and other AI professionals on a variety of innovative projects.
I feel Omdena is the stepping stone to discover the true potential of AI.
After all this mind-blowing experience, I feel much closer to the person I wanted to be for a very long time: a technology change maker.
I have learned so much in several domains including data mining, AI, ML, transfer learning, NLP.
Working in a collaborative project helped greatly in boosting my data science confidence.
After the Omdena project, I see that career adaptation was a necessary thing in today’s trends.
Collaboration across continents, time zones, and perspectives, especially on a social science-linked challenge was mind-opening.
Joining Omdena was an important career milestone. A unique way of learning and contributing to social good.
Collaborative AI enables robust AI solutions through sharing knowledge, perspectives, and promoting diversity and inclusion.
The community made me feel a sense of freedom and provided a non-judgmental environment where I was enabled to help others.