Discovery Informatics: AI Takes a Science-Centered View on Big Data

The titles of the five symposia were Discovery Informatics: AI Takes a Science-Centered View on Big Data (FS-13-01); How Should Intelligence Be Abstracted in AI Research: MDPs, Symbolic Representations, Artificial Neural Networks, or --? (FS-13-02); Integrated Cognition (FS-13-03); Semantics for Big Data (FS-13-04); and Social Networks and Social Contagion: Web Analytics and Computational Social Science (FS-13-05). The highlights of each symposium are presented in this report. The symposia included Discovery Informatics: AI Takes a Science-Centered View on Big Data; How Should Intelligence Be Abstracted in AI Research: MDPs, Symbolic Representations, Artificial Neural Networks, or --? Integrated Cognition; Semantics for Big Data; and Social Networks and Social Contagion: Web Analytics and Computational Social Science. The Discovery Informatics symposium provided a forum for understanding the role of AI techniques in improving or innovating scientific processes. Researchers at the How Should Intelligence be Abstracted in AI Research symposium discussed and compared different abstractions of both intelligence and processes that might create it.