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Discovery Informatics 2013 - Call for Papers

From: Gully Burns <gullyburns@gmail.com>
Date: Tue, 14 May 2013 14:39:43 -0700
Message-ID: <CAASZSc=rp43TG44sDAxkDzjjS7y66-sHRBnH0UTs2S2H9vMJOQ@mail.gmail.com>
To: semantic-web@w3.org

[apologies for cross-posting]


Discovery Informatics Symposium:

AI Takes a Science-Centered View on Big Data

November 15–17, 2013, Arlington, VA (USA)

AAAI Fall Symposium Series


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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 proposed symposium builds
on two prior successful meetings held in 2012: an NSF workshop and a AAAI
Fall Symposium.

The application of AI approaches to assist in scientific discovery is an
open ended knowledge-driven challenge with a very high potential impact.
Following the delineation of three important areas of interest at previous
meetings: (1) social computing for discovery; (2) computational support of
discovery and (3) possible new models and data, we now seek to include ‘Big
Data’ approaches in our view of discovery informatics, which provides the
theme of this symposium.


This symposium will provide a forum for researchers interested in
understanding the role of AI techniques in improving or innovating
scientific processes. We encourage submissions that: (1) build on success
stories that provide a contextual understanding of why certain approaches
worked in scientific domains; (2) push the envelope of discoveries in big
data; (3) characterizes the act of discovery as a computing challenge for
intelligent systems.

Specific topics of discussion include, but are not limited to:

• What are the broad AI challenges in discovery in big data?

• How can we support the way scientists approach big data?

• How do we get to big data from smaller data through automated or assisted
integration and aggregation?

• What integrated AI capabilities are needed to tackle big data in science?

• How can we improve our understanding of science and discovery processes
and the role of AI in the context of those processes?

• How can we capture science processes and open them to scientists in other
disciplines and the broader public?

• Can AI be effective in facilitating insights and looking for knowledge
gaps using big data?

The symposium will be organized around thematic sessions.  Each session
will include paper presentations and in some cases invited speakers,
followed by discussions.

Submissions should be up to 6 pages, using the AAAI style files.
Submissions shall be made through the EasyChair website:



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

Program Committee:

Jose Luis Ambite, University of Southern California

Yigal Arens, University of Southern California

Paolo Ciccarese, Harvard University

Kevin B. Cohen, University of Colorado

Roxana M. Danger Mercaderes, Imperial College London

Helena Deus, DERI Ireland

Michel Dumontier, Carleton University

Anita de Waard, Reed Elsevier

Tudor Groza, University of Queensland

Paul Groth, VU University Amsterdam

Melissa Haendel, Oregon Health & Science University

Yongqun He, University of Michigan

Deana Pennington, University of Texas at El Paso

Pedro Szekely, University of Southern California

Karin Verspoor, National ICT Australia


Submission deadline: June 7, 2013

Notification to authors: July 5, 2013

Camera-ready due: September 2, 2013

Registration deadline: September 20, 2013

Symposium: November 15-17, 2013

Received on Wednesday, 15 May 2013 14:36:43 UTC

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