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AAAI Fall Symposium on "Discovery Informatics: The Role of Artificial Intelligence in Innovating Scientific Processes"

From: Helena Deus <helenadeus@gmail.com>
Date: Sat, 6 Oct 2012 08:44:39 +0100
To: HCLS hcls <public-semweb-lifesci@w3.org>, public-lod@w3.org, SW-forum Semantic Web community <semantic-web@w3.org>, protege-discussion@lists.stanford.edu, taverna-users@lists.sourceforge.net, open-science@lists.okfn.org
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AAAI Fall Symposium on "Discovery Informatics: The Role of Artificial Intelligence in Innovating Scientific Processes"



November 2-4, 2012
Arlington, Virginia

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. There are many aspects of the scientific discovery process that our community could help automate, facilitate, or make more efficient through artificial intelligence techniques. For example, although considerable efforts have been directed toward data modeling and integration, these activities continue to demand large investments of scientists’ time and effort. The scientific literature continues to grow and is becoming more and more unmanageable for researchers operating in the most active disciplines. 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. These are just some examples of areas where there are opportunities for artificial intelligent techniques could make a difference. Improvements and innovations across the spectrum of scientific processes and activities will have a profound impact on the rate of scientific discoveries.

This symposium provides a forum for researchers interested in understanding the role of AI techniques in improving or innovating scientific processes.  The symposium will include invited talks, paper presentations, panel discussions, and plenary sessions. Six invited speakers will provide their personal perspectives on successes and challenges for Discovery Informatics. There will be seven full papers presented, interleaved with the invited talks. Two of the sessions will be panel discussions on current topics of interest, with panelists from a variety of perspectives including academia, funding agencies, and industry. The symposium will open and close with plenary sessions that will serve for exchange of general observations and synthesis of views for all attendees. AAAI will hold an evening reception as well as a joint session where major highlights of the other parallel symposia will be presented.


	• Timothy W. Clark, Harvard University (bio)
	• William Cohen, Carnegie Mellon University (bio)
	• Lawrence Hunter, University of Colorado (bio)
	• Chris Lintott, University of Oxford (bio)
	• Hod Lipson, Cornell University (bio)
	• Jude Shavlik, University of Wisconsin Madison (bio)


	• Challenges in Big Data: Discoveries at the Fringe of Science
	• Discovery Informatics: Innovating Science Practice one Scientist at a Time


Registration and hotel booking deadline is October 10, 2012.


	• Will Bridewell, Stanford University
	• Yolanda Gil, University of Southern California
	• Haym Hirsh, Rutgers University
	• Kerstin Kleese van Dam, Pacific Northwest National Laboratory
	• Karsten Steinhaeuser, University of Minnesota
Received on Saturday, 6 October 2012 07:45:12 UTC

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