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Planetary computing to help balance opportunity costs of human actions on wildlife

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The world is a really crowded place these days; we are trying to balance the food, fuel and fibre needs of a growing human population with the need to spare land for natural wildlife that are facing an extinction crisis. In this talk, Anil will discuss the ongoing work on building comprehensive maps of the world that measure important Anil Madhavapeddy University of Cambridge Computer Laboratory When: Thursday, 17 Oct. 6pm Where: S2 Room, Alison Richard Building 7, West Road, Cambridge Don’t miss out on an inspiring evening! Free drink and nibbles over an exciting conversation included! aspects of nature by leverage satellite sensing and computation pipelines. These models can measure things like tropical forest carbon, but also be composed to build the first globally comparable measure of biodiversity (through a species persistence approach), and also help measure the country-level impacts of human food choices to natural biodiversity. He will discuss some of the implications of this global monitoring approach: is this an opportunity to equalise the data landscape to the global south, or will it just reinforce existing data inequality?

This talk is part of the Centre for Human Inspired AI Early Career Committee series.

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