The Fourth Paradigm: Data-Intensive Scientific Discovery [Point of View]

By K. Tolle, D. Stewart W. Tansley, Anthony J. G. Hey. 2011

490 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/97f4330fec037bd9cb18a5345f4cc7d47dd93c30

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Zhi-hui Zhan
2. Henry Shu-Hung Chung
3. Jun Zhang
4. Yun Li
5. Yue-jiao Gong
6. Rampi Ramprasad
7. Yaochu Jin
8. Ran Cheng

Citations in the corpus

• Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches (2015, background): “More importantly, “data-driven discovery” or synthesis of science, dubbed the “e-Science,” is gradually recognized as the “fourth paradigm of science” [Tolle et al. 2011], where in history the experimental science computer simulation based “virtual” systems or phenomena the third [Kuhn 2012].”
• Polymer Genome: A Data-Powered Polymer Informatics Platform for Property Predictions (2018, background): “24 Polymers form an important (and challenging) materials class.”