Posts
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Using Machine Learning to Eradicate the Tsetse Fly in Sub-Saharan Africa
A Columbia team is pioneering a machine learning-based imaging and sorting solution that would help to drastically reduce Africa’s tsetse population.
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To Fight Climate Change, Think Politics First and Often
What the Green New Deal gets that the carbon tax misses.
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High-Resolution Data Products Help Illuminate Urbanization’s Reach
High-resolution data on impervious surfaces and urban extents can shed new light on patterns of urban and rural development.
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Data Science Students Team Up With Marine Biologist
The students are using deep learning and neural networks to create an automated system that classifies plankton for large-scale oceanographic studies.
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New York City Tech, Post Amazon
We should learn from our mistake in losing Amazon and do all we can to build the growing technology industry in New York.
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Communications Workshop Helps Bridge Gap Between Scientists and Public
On February 21, scientists learned the essentials of science communication during a half-day workshop at Lamont-Doherty Earth Observatory.
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Creating a Global and Unified Perspective on Infrastructure
Growing up in Africa, Catarina Carvalho was impressed by how people’s lifestyles transformed as infrastructure developed over time. She wanted to be a part of that phenomenon.
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Into Deep Field
Moving a team from a science base into a deep field camp in Antarctica comes with a mix of high energy and optimism.
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Banning Plastic Bags, Town by Town: a Guide
If you’re already doing your part to reduce, reuse and recycle, what more can you do? Start by thinking bigger, but not too big — one community at a time.
