The Dream Team program is an exciting new element of the 2020 Hackaday Prize, with twelve people accepted to work full-time on a specific problem for each of our non-profit partners this summer. Each team of three is already deep into an engineering sprint to pull together a design, and to recognize their efforts, they’ll be receiving a $3,000 monthly microgrant during the two-month program.
Join us after the break to meet the people that make up each of the teams and get a taste of what they’re working on. We’ll be following along as they publish detailed work logs on the Dream Team project pages.
Conservation X Labs Dream Team
Erin “RobotGrrl” Kennedy, Oluwatobi Oyinlola, and Leonardo Ward have been selected for the Conservation X Labs Dream Team. Erin is the technical founder of Robot Missions, recently completed the Space Studies Program at the International Space University, and is from Ontario, Canada. Oluwatobi is an Embedded Systems Engineer, Inventor, and IoT Evangelist from Ibada, Nigeria. Leonardo is an electronics engineer who works on future technologies and lives in La Guaira, Venezuela.
Together they are working on the challenge of reducing ghost gear in the world’s oceans, the equipment from fishing and maritime industries that doesn’t make it back to the ship and remains in the environment as pollution.
Field Ready Dream Team
Antonio Anaya, Meesha Gupta, and Thomas Hartley have been selected for the Field Ready Dream Team. Antonio has experience adapting methodologies and tools for use in remote and difficult environments, and lives in Tuxtla Gutierrez, Mexico. Meesha is an electrical engineer who’s worked on building prosthetic arms and lives in Schenectady, New York. Tom is a design engineer with backgrounds in computer science and electronics who lives in London, UK.
Together they are working on the challenge of ensuring quality control of distributed manufacturing processes. When developing on-site manufacturing in remote areas and disaster relief situations, a feedback loop for what worked and what didn’t will multiply the effectiveness of the efforts.
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Source:: Hackaday