# Science and Technology Science and technology represent the systematic study and application of knowledge to understand and manipulate the natural world. Science, through empirical investigation and theoretical modeling, seeks to elucidate complex phenomena, while technology applies scientific insights to develop tools and solutions that address practical challenges. These intertwined domains drive progress across diverse fields, from healthcare to engineering. In the realm of data, scientific research relies heavily on data collection and analysis to validate theories and discoveries. Similarly, technological advancements are often fueled by data-driven insights that inform the design and optimization of innovative applications and systems. For more information about recent science and technology research, please consult the following resources: * [WorldCat](https://search.worldcat.org/search?&offset=1&q=Recent+studies+about+data+and+data+governance+and+Science+and+Technology) * [Consensus](https://consensus.app/results/?synthesize=off&copilot=off&q=Recent+studies+about+data+and+data+governance+and+Science+and+Technology) * [Google Scholar](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Recent+studies+about+data+and+data+governance+and+Science+and+Technology) 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 science and technology. We recognize this is a dynamic field and would appreciate your help to [[contact our research team|improve]] this resource.