# Data Science Data science is an interdisciplinary field that employs statistical, computational, and algorithmic methods to extract meaningful insights from complex datasets. It integrates principles from mathematics, computer science, and domain-specific knowledge to analyze and interpret data patterns, informing decision-making processes across various industries. Through advanced analytical techniques, data science enables organizations to predict trends, optimize operations, and enhance strategic planning. For more information about recent data science research, please consult the following resources: * [WorldCat](https://search.worldcat.org/search?&offset=1&q=Recent+studies+about+data+and+data+governance+and+Data+Science) * [Consensus](https://consensus.app/results/?synthesize=off&copilot=off&q=Recent+studies+about+data+and+data+governance+and+Data+Science) * [Google Scholar](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Recent+studies+about+data+and+data+governance+and+Data+Science) Our research team, partners, and the extended Network of the Datasphere have identified the following organizations working at the intersection of data or data governance and data science. We recognize this is a dynamic field and would appreciate your help to [[contact our research team|improve]] this resource.