Engineering a Sustainable World
summary
Panelists describe building machine learning pipelines for conservation (including work on Wildbook analyzing six million photographs), low‑power acoustic sensing for anti‑poaching and urban monitoring, and cloud cost optimizations that cut CPU/memory use to lower energy draw. Practical entry routes include joining existing projects or hackathons, contributing UI or data‑schema work, running internal green‑code initiatives, and publishing open data; remote conferences and Solid‑style personal data control also reduce travel and redundant data traffic.
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chapters (9)
- 0:00Introduction and welcome
- 1:21Why developers care about sustainability
- 10:56Can developers change the world?
- 18:59First steps to get involved
- 27:10Skills for sustainable projects
- 32:48Finding your purpose
- 42:25Tech’s environmental impact
- 51:32Earning money in sustainability
- 59:12Closing thoughts and thanks
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