Page 16 - July-December 2019 [Compatibility Mode]

ENVIS newsletter
ENVIS newsletter

Smart disaster response

AI can analyse simulations and real-time data (including social media data) of weather events and
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disasters in a region to seek out vulnerabilities and enhance disaster preparation, provide early warning, and
prioritise response through coordination of emergency information capabilities. Deep reinforcement learning
may one day be integrated into disaster simulations to determinedetermine optimal response strategies, similar to the way
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AI is currently being used to identify the best move in games like AlphaGo.
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8. A transparent digital Earth

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A real-time, open API, AI-infused, digital geospatial dashboard for the planet would enable the
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monitoring, modelling and management of environmental systems at a scale and speed never before possible –
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from tackling illegal deforestation, water extraction, fishing and poaching, to air pollution, natural disaster
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response and smart agriculture.
Reference:
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https://www.weforum.org/agenda/2018/01/8-ways-ai-can-help-save-the-planet/
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https://medium.com/datadriveninvestor/application-of-artificial-intelligence-in-environmental-science-
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