Big Data in Science

Big Data in Science

Big Data can be used in science and research. One way it has been used is to build a vast model and gather intelligence for scientists based on wind conditions following Hurricane Sandy. This meant they could more accurately predict future hurricanes and save lives. This is an important factor when considering the effects of climate change and adapting to them.

I read that Big Data was able to analyse large databases, including atmospheric conditions, ocean temperatures, terrain elevation, and land coverage for the hazard simulation. This would have been much less accurate without Big Data and would require much more time and resources, which weren't an option.

https://www.informationweek.com/machine-learning-ai/hurricane-sandy-big-data-predicted-big-power-outages


Another way Big Data can be used in science is to improve efficiency in healthcare. For example, it can recognise patterns in complex data, such as protein folding in biology, or help us understand how viruses spread. The COVID-19 virus is an example of the global effects of a virus and how quickly it can shut down the world and cause millions of deaths. Therefore, the use of Big Data in predicting the spread of viruses will almost definitely save many lives.


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