| AAAI Fall Symposium in Discovery Informatics | |
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United States - VA - Arlingon |
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| Hosted by: | AAAI |
| Venue: | Westin Arlington Gateway in Arlington, Virginia. |
| Dates: | Nov 15, 2013 through Nov 17, 2013 |
| Call for Proceedings Presentations: | 2013-05-01 through 2013-06-07 |
| Event Registration: | 2013-08-20 through 2013-09-20 |
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Description |
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| AI Takes a Science-Centered View on Big Data November 15–17, 2013, Arlington, VA (USA) AAAI Fall Symposium Series http://www.discoveryinformaticsinitiative.org/dis2013 (To receive further notifications about this and related meetings please subscribe to: http://discoveryinformaticsinitiative.org/mailman/listinfo/dii). 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. TOPICS 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: https://www.easychair.org/conferences/?conf=dis2013. ORGANIZING COMMITTEE 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 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 IMPORTANT DATES 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 |
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| Additional Information | |
| Event URL: | http://www.discoveryinformaticsinitiative.org/dis2013 |
| ISCB Member Discount: | None |
| Contact Person: | Gully Burns ([javascript protected email address]) |
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