10 Facts About Discovery science

Discovery science is a scientific methodology which aims to find new patterns, correlations, and form hypotheses through the analysis of large-scale experimental data.

Discovery science-based methodologies are commonly contrasted with traditional scientific practice, the latter involving hypothesis formation before experimental data is closely examined.

For example, in the early years of water resources research, the use of discovery science was demonstrated by seeking to elucidate phenomena that was, until that point, unexplained.

For discovery science to be utilised, there is a need to revert to creating and testing genuine hypotheses, rather than focusing on praising concepts that are already familiar.

The use of data mining in discovery science follows a general trend of increasing use of computers and computational theory in all fields of science, and newer methods of data mining employ specialised machine learning algorithms for automated hypothesis forming and automated theorem proving.

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Discovery science has converged with clinical medicine and cancer genomics, and this convergence has been accelerated by recent advances in genome technologies and genomic information.

An example of discovery science being enhanced for human brain function can be seen in the 1000 Functional Connectomes Project .

Traditionally, the neuroimaging community within psychology has focused on task-based and hypothesis-driven approaches a powerful tool for discovery science has emerged in the form of resting-state functional MRI .

Discovery science-based methodologies are often viewed in contrast to traditional scientific practice, where hypotheses are formed before close examination of experimental data.

Discovery science is usually a complex process, and consequently does not follow a simple linear cause and effect pattern.