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WDI 2014 - ACM SIGKDD Workshop on Discovery Informatics



VenueNew York, USA - United States USA - United States



Topics/Call fo Papers

ACM SIGKDD Workshop on Discovery Informatics
In conjunction with ACM SIGKDD Conference on Data Mining and Knowledge Discovery (KDD 2014), New York, USA.
Call for Papers, Position Papers, and Extended Abstracts
The emergence of “big data” ? data that are far more voluminous, diverse, and inter-related than we know how to cope with ? has resulted in the transformation of many historically data poor disciplines into increasingly data rich disciplines. Much attention has focused on the challenges of management, processing, and analysis of big data. However, while we understand how to automate routine aspects of data management and analytics, humans are still largely responsible for most aspects of the scientific process: identifying gaps in the current state of knowledge; generating and prioritizing questions; designing studies; designing, prioritizing, planning, and executing experiments; interpreting results; forming hypotheses; drawing conclusions; replicating studies; validating claims; documenting studies; communicating results; reviewing results; and integrating results into the larger body of knowledge in a discipline. This state of affairs is simply untenable if we are to realize the full promise and potential of big data.
Against this background, the workshop focuses on Discovery Informatics, an emerging subfield at the intersection of Artificial Intelligence, Knowledge Discovery and Data Mining, Cyber-Human Systems, and Information Integration and Informatics. Discovery Informatics is concerned with (i) Understanding, formalization, and information processing accounts of, and organizational and social structures and incentives that underpin the entire scientific process; (ii) Design, development, and evaluation of the computational artifacts (representations, processes) that embody such understanding; and (iii) Application of the resulting artifacts and systems to advance science (by augmenting individual or collective human efforts, or by fully automating science).
The workshop aims to bring together researchers and graduate students to explore the research challenges, opportunities, and recent advances in all aspects of Discovery Informatics, including in particular:
? Representation and modeling languages with precise formal semantics, for describing, sharing, and communicating models, theories, and hypotheses
? Sophisticated approaches to construction of comprehensible and communicable predictive models and discovery of causal mechanisms
? Effective approaches for acquiring and making effective use of background assumptions, hypotheses, knowledge, beliefs and conjectures, arguments, domain expertise, and process descriptions from literature.
? Effective methods for identifying gaps in knowledge and formulating questions
? Effective methods for describing, designing, prioritizing, planning observations and experiments
? Effective methods for constructing comprehensible and communicable predictive models from observations and experiments
? Effective methods for generating, prioritizing and testing hypotheses from data and models.
? Sharable and communicable representations and processes, organizational and social structures and practices that facilitate collaborative discovery
Submission Instructions:
We invite participants to submit full papers (no longer than 8 pages, describing research results) or extended abstracts or position papers (no longer than 2 pages, describing research in progress, research challenges, or perspectives).
Submissions should use the standard ACM format available at: Papers and extended abstracts should be submitted electronically (in PDF form) through “EasyChair” at:
Important Dates:
Submission deadline: June 14, 2014
Author notification: June 30, 2014
Submission of camera-ready papers: July 7, 2014
Workshop: August 24, 2014
Vasant G. Honavar
Pennsylvania State University
Yolanda Gil
University of Southern California

Last modified: 2014-06-09 22:57:50