Discovery Informatics: The Role of AI Research in Innovating Scientific Processes
Papers from the 2012 AAAI Fall Symposium
Yolanda Gil, Haym Hirsh, Program Cochairs
Technical Report FS-12-03. Published by The AAAI Press, Menlo Park, California
This technical report is also available in book format.
Contents
Organizers
Yolanda Gil
Preface
Will Bridewell, Yolanda Gil, Haym Hirsh, Kerstin Kleese van Dam, Karsten Steinhaeuser
Invited Talks
Timothy W. Clark, William Cohen, Lawrence Hunter, Chris Lintott, Jude Shavlik
Discovery Informatics: AI Opportunities in Scientific Discovery
Yolanda Gil, Haym Hirsh
On Causality Inference in Time Series
Mohammad Taha Bahadori, Yan Liu
Capturing and Using Knowledge about the Use of Visualization Toolkits
Nicholas Del Rio, Paulo Pinheiro da Silva
Discovering Protein Clusters
Susan Epstein, Xingjian Li, Peter Valdez, Sofia Grayevsky, Eric Osisek, Xi Yun, Lei Xie
A Web-Based Environment for Explanatory Biological Modeling
Pat Langley, Glen Hunt
Reasoning about Chemical Reactions Using the Situation Calculus
Arman Masoumi, Mikhail Soutchanski
An Approach to Evaluate Scientist Support in Abstract Workflows and Provenance Traces
Leonardo Salayandia, Ann Q. Gates, Paulo Pinheiro
Addendum
Preliminary Meta-Analyses of Experimental Design with Examples from HIV Vaccine Protection Studies
Marcelo Tallis, Drashti Dave, Gully APC Burns
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