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Brianna White

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Jul 30, 2019
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Every decision brings an element of risk with it. We process the information on risks related to several decisions every day. Simpler decisions could include crossing a road, visiting a grocery store during the ongoing pandemic, or buying a new brand of shampoo. More complex decisions may include making an investment, changing jobs, or entering a relationship. We consider multiple scenarios, using a wide range of known and unknown parameters, and arrive at a decision on the action we will take. Many of these processes happen subconsciously and we may not realize how much data we have processed to arrive at decisions to take 'calculated risks’.
Decisions related to our society’s survival and development are similar but far more complex with much more data to be processed. The volumes of data involved truly turn into what is called big data, when the environment and climate-related context is taken into account. Meteorological scientist Edward Lorenz had come up with the concept of the butterfly effect, according to which the flapping of a butterfly’s wings can change the weather and even cause a tornado in a faraway place. The concept attempts to illustrate the complexity of predicting short and medium-term weather. Make this manifold when trying to deal with long-term climate change.
ENTERS ARTIFICIAL INTELLIGENCE
Processing such large and complex data sets are possible only with the help of advanced computers, and tools such as Artificial Intelligence and Machine Learning (AI/ML). While significant work has happened in the past years on forecasting climate-related risks, the science of determining what impact these risks will have on people is still in nascent stages and requires attention and investment.
Continue reading: https://www.indiatoday.in/science/story/artificial-intelligence-game-changer-india-climate-strategy-1917196-2022-02-24
 

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