-------- Original Message --------
Subject: [computational.science] CFP: Discovery Informatics Symposium: The Role of AI Research in Innovating Scientific Processes
Date: Thu, 10 May 2012 09:22:33 +0100
From: Carole Goble <carole.goble@manchester.ac.uk>
Organization: "ICCSA"
To: Computational Science Mailing List <computational.science@lists.iccsa.org>


=======================================
CALL FOR PAPERS

Discovery Informatics Symposium:
The Role of AI Research in Innovating Scientific Processes

November 2-4, 2012, Arlington, VA (USA)
AAAI Fall Symposium Series

http://www.discoveryinformaticsinitiative.org/dis2012

(To receive further notifications about this and related meetings please 
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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 will provide a forum for researchers interested in 
understanding the role of AI techniques in improving or innovating 
scientific processes.

We seek submissions that: (1) report on success stories that illustrate 
the potential of future research in this field; (2) discuss lessons 
learned in the process of addressing challenging aspects of the 
scientific process; (3) analyze the impact of a particular technique in 
an area of science and reflect on its potential for broader 
applicability in other sciences; and (4) propose future concepts 
grounded in lessons learned and an understanding of the challenges in 
the scientific discovery process.

Topics of interest include but are not limited to:

• Ontologies and knowledge bases that model particular areas of 
scientific knowledge
• Semantic representations of metadata for all aspects of scientific 
processes
• Techniques for organizing scientific literature
• Workflow systems to manage complex data analysis processes
• Knowledge discovery techniques that are embedded in the context of 
scientific investigations
• Integrative approaches of machine learning and scientific model induction
• Automated systems for experiment design, data analysis, and hypothesis 
generation and refinement
• User-centered design of intelligent systems that partner with 
scientists to perform complex tasks
• Integrated approaches to visualizing data, models, and the connections 
between them to foster new insights
• Cognitive-centered design of scientist aids
• Social computing systems that let novice participants contribute to 
scientific tasks

Submissions can be up to 6 pages, using the AAAI style files. 
Submissions should be uploaded to the submission site no later than June 
5 2012 before midnight on the timezone of your choice.


ORGANIZING COMMITTEE

Co-Chairs:

• 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

Program Committee:

• Cecilia Aragon, University of Washington
• Phil Bourne, University of California San Diego
• Elizabeth Bradley, University of Colorado
• Paolo Ciccarese, Harvard University
• Susan Davidson, University of Pennsylvania
• Helena Deus, Digital Enterprise Research Institute
• Tom Dietterich, Oregon State University
• Yolanda Gil, University of Southern California
• Clark Glymour, Carnegie Mellon University
• Carla Gomes, Cornell University
• Alexander Gray, Georgia Institute of Technology
• Larry Hunter, University of Colorado Denver
• David Jensen, University of Massachusetts Amherst
• Vipin Kumar, University of Minnesota
• Pat Langley, Arizona State University
• Hod Lipson, Cornell University
• Huan Liu, Arizona State University
• Yan Liu, University of Southern California
• Miriah Meyer, University of Utah
• Mark Musen, Stanford University
• Andrey Rzhetsky, University of Chicago
• Steve Sawyer, Syracuse University
• Alex Schliep, Rutgers University
• Christian Schunn, University of Pittsburgh
• Nigam Shah, Stanford University
• Alex Szalay, The Johns Hopkins University
• Loren Terveen, University of Minnesota
• Raul E. Valdes-Perez, Vivisimo Inc.
• Evelyne Viegas, Microsoft Research

IMPORTANT DATES:

·      Submission deadline: June 5, 2012
·      Notification to authors: June 30, 2012
·      Camera-ready due: September 7, 2012
·      Registration deadline: September 14, 2012
·      Symposium: November 2-4, 2012

(To receive further notifications about this and related meetings please 
subscribe to:
http://discoveryinformaticsinitiative.org/mailman/listinfo/dii)




-- 
Professor Carole Goble FREng FBCS CITP
School of Computer Science
University of Manchester
Manchester, UK

tel: +44 161 275 6195
email: carole.goble@manchester.ac.uk