Data-intensive Science

Data-intensive science refers to scientific research that relies heavily on the collection, analysis, and interpretation of large amounts of data. It involves using advanced computers and algorithms to process complex datasets, enabling researchers to uncover patterns, make predictions, or understand phenomena that were previously difficult to analyze manually. This approach accelerates discovery across fields like biology, astronomy, and social sciences by harnessing data as a core resource. Essentially, it’s about leveraging vast quantities of information to gain deeper insights and solve complex problems more effectively.