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From: Gully Burns gullyburns@GMAIL.COM Subject: Fwd: Discovery Informatics Symposium: AI Takes a Science-Centered View on Big Data Date: September 24, 2013 1:51:57 AM EDT
[apologies for cross-posting]
CALL FOR PARTICIPATION
Discovery Informatics Symposium: AI Takes a Science-Centered View on Big Data
November 15–17, 2013, Arlington, VA (USA) AAAI Fall Symposium Series
Program available at: http://www.discoveryinformaticsinitiative.org/dis2013
IMPORTANT DATES Registration deadline: October 18, 2013, through https://www.regonline.com/fss13. Westin Arlington Gateway Hotel cut-off date: October 24, 2013. Symposium: November 15-17, 2013
DESCRIPTION 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 (e.g., medical-, bio-, eco- or geo-informatics) 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.
INVITED SPEAKERS - Richard J. Doyle, NASA Jet Propulsion Laboratory. - Michel Dumontier, Stanford University. - Haym Hirsh, Cornell University. - David Jensen, University of Massachusetts at Amherst. - Peter Karp, SRI International. - Claire Monteleoni, George Washington University. - Zoran Obradovic, Temple University. - Christopher Re, Stanford University. - Andrey Rzhetsky, University of Chicago. - Kiri L. Wagstaff, NASA Jet Propulsion Laboratory.
ACCEPTED PAPERS - "Finna: A Paragraph Prioritization System for Biocuration in the Neurosciences". Kyle Ambert, Aaron Cohen, Gully Burns, Eilis Boudreau and Kemal Sonmez. - "Forensic Reasoning about Paleoclimatology". Elizabeth Bradley, Laura Rassbach de Vesine, Kenneth Anderson, Marek Zreda and Christopher Zweck. - "ELSEWeb meets SADI: Supporting Data-to-Model Integration for Biodiversity Forecasting". Nicholas Del Rio, Natalia Villanueva-Rosales, Deana Pennington, Karl Benedict, Aimee Stewart and Cj Grady. - "Linkitup: Link Discovery for Research Data". Rinke Hoekstra and Paul Groth. - "Capturing Data Analytics Expertise with Visualization in Workflows". David Kale, Samuel Di, Yan Liu and Yolanda Gil. - "MetaShare: From Data Management Plans to Knowledge-Based Systems". Leonardo Salayandia, Deana Pennington, Ann Gates and Francisco Osuna. - "Creating an Urban Legend: A System for Electrophysiology Data Management and Exploration". Anita De Waard, Jeremy Alder, Shawn Burton, Richard C. Gerkin, Mark Harviston, David Marques, Shreejoy J. Tripathy and Nathaniel N. Urban.
ACCEPTED ABSTRACTS - "Computational Ideation in Scientific Discovery". Ashok K. Goel. - "Exploration Using Signatures in Annotation Graph Datasets". Louiqa Raschid, Guillermo Palma, Maria-Esther Vidal, Andreas Thor.
CO-CHAIRS Gully APC Burns, University of Southern California Yolanda Gil, University of Southern California Yan Liu, University of Southern California Natalia Villanueva-Rosales, University of Texas at El Paso