Discovery Informatics: AI Takes a Science-Centered View on Big Data: Papers from the AAAI Symposium
Gully APC Burns, Yolanda Gil, Yan Liu, Natalia Villanueva-Rosales Cochairs
Discovery informatics focuses on intelligent systems aimed at accelerating discovery, particularly in science but also from any data-rich domain. It is a generalization of scientific informatics work (for example, medical-, bio-, eco-, or geoinformatics) that seeks to apply principles of intelligent computing and information systems in order to understand, automate, improve, and innovate any aspects of discovery processes. A range of AI research is directly relevant including process representation and workflows; intelligent interfaces; causal reasoning; machine learning; knowledge representation and engineering; semantic web; advanced visualization toolkits and social computing.
The application of AI approaches to assist in scientific discovery is an open ended knowledge-driven challenge with a very high potential impact. This is especially true in this era of big data, which provides the theme of this symposium.