Discovery Informatics: The Role of AI Research in Innovating Scientific Processes: Papers from the AAAI Symposium
Yolanda Gil, Chair; Haym Hirsh, Cochair
Addressing the ambitious research agendas put forward by many scientific disciplines requires meeting a multitude of challenges in intelligent systems, information sciences, and human-computer interaction. Many aspects of the scientific discovery process are often largely manual and could be automated, improved, or made more efficient. Better interfaces for collaboration, visualization, and understanding would significantly improve scientific practice. Scientific data, publications, and tools could be published in open formats with appropriate semantic descriptions and metadata annotations to improve sharing and dissemination. Opportunities for broader participation in well-defined scientific tasks enable human contributors to provide large amounts of data, annotations, or complex processing results that could not otherwise be obtained. Improvements and innovations across the spectrum of scientific processes and activities will have a profound impact on the rate of scientific discoveries. Our goal with this symposium is to provide a forum for researchers interested in understanding the role of AI techniques in improving or innovating scientific processes.