Contemporary Applications of Big Data in Science
Another way in which Big Data is having an impact on the
world is through science. Big Data is ideal in the field of scientific research
changing how researchers gather, analyse, and interpret information. This
allows better predictions and insights into research data and speeds up the
process as well leading to improvements in many different areas of research such
as:
Healthcare – Big Data analysis is leading top breakthroughs
in personalised medicine and treatments for patients making them more effective.
It helps healthcare professionals with tracking, predicting, and reacting to disease
outbreaks with greater efficiency and accuracy leading to a reduced impact. Big
Data is also speeding up the process of drug discovery over traditional methods
shortening the time between discovery and bringing the drug to the market.
Environmental Science – Researchers are using Big Data to
improve climate models, track biodiversity, and better understand and protect
ecosystems. This is helping researchers and politicians to develop policies in
regards to climate change and how to manage finite resources more sustainably.
Physics and Astronomy – Large scale experiments and instruments
such as the Large Hadron Collider and the James Webb Space Telescope generate huge
amounts of data that would be impossible to study using traditional methods.
Big Data technologies allow this data to be captured and processed allowing researchers
to make breakthroughs such as the founding of the Higgs Boson particle and the confirmation
of gravitational waves. These physical phenomena were predicted in theory years
ago, but the modern world of Big Data analysis has allowed researchers to prove
their existence.
Social Sciences – Social sciences and behavioural research
has been impacted Big Data through the proliferation of social media. Analysing
data from social media platforms using Big Data technologies allows researchers
to gain insight into human behaviour and societal trends at large. This data
can help with tracking economic patterns, studying human interactions and
influence policymaking.
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