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CIDU 2011 : NASA Conference on Intelligent Data Understanding (CIDU)


Conference Series : Conference on Intelligent Data Understanding
When Oct 19, 2011 - Oct 21, 2011
Where Mountain View, CA
Submission Deadline May 27, 2011
Notification Due Jul 8, 2011
Final Version Due Jul 29, 2011
Categories    data mining & machine learning   earth & environmental systems   space science   aerospace & engineering system

Call For Papers

CIDU 2011: The NASA Conference on Intelligent Data Understanding

Computer History Museum, Mountain View, CA, USA
October 19-21, 2011

Conference Website:

There is no registration fee for this conference. Participants will be asked to pay a nominal amount for covering food and refreshments. Travel support (up to $500) will be available for five students selected based on merit; application is required, please check the conference website for details.


The NASA Conference on Intelligent Data Understanding (CIDU) is application-oriented with a focus on Earth & Environmental Systems, Space Science, and Aerospace & Engineering Systems.

The CIDU 2011 Program Committee is soliciting theme-oriented papers that help advance one of the aforementioned applications through machine learning or data mining techniques. We invite papers that include a clear link between the domain (application area) and machine learning / data mining. The papers should also highlight the “data understanding aspect: what new understanding was achieved via the application of machine learning / data mining methods?

All submitted papers will be judged based on their technical/scientific merit, originality, relevance and clarity. Papers submitted to CIDU 2011 should be original work, i.e., not previously published in a peer-reviewed conference or journal. While the conference is focused on the core application areas of Earth & Environmental Systems, Space Science and Aerospace & Engineering Systems, we also welcome papers that are methodology-oriented with (potential) applications relevant to one or more of these topics. Methodology papers should be motivated accordingly.

The proceedings of CIDU 2011 will be published by NASA and archived in the NASA Center for Aerospace Information, and will be indexed by DBLP. Selected papers will be invited to be extended for consideration for publication in the journal Statistical Analysis and Data Mining.


The CIDU 2011 Program Committee also solicits submissions of 2-page extended abstracts reporting new and interesting results, ideas, work-in-progress, as well as highlights of work published within the last 12 months. The topics of interest for poster submissions are the same as for the refereed paper track. Posters will be peer-reviewed based on quality and significance, and authors of accepted posters will be asked to present a technical poster during the CIDU 2011 conference. All accepted papers will also be invited to present a poster to highlight the work.


Papers submissions due: May 27, 2011
Acceptance notification: July 8, 2011
Camera-ready papers due: July 29, 2011
Poster abstracts due: July 29, 2011
Poster decision notification: August 19, 2011
Poster camera-ready abstracts due: September 16, 2011
Although registration is complimentary, we encourage
registration by August 31, 2011 as space is limited.


Methodology Papers
- Focus on algorithmic or methodological innovations that are relevant to one or more application areas or hold the potential for one or more applications. The authors should clearly specify the (potential) application of their work. We also invite papers that have a data visualization component.

Earth & Environmental Systems Applications
- Climate and ecology data sciences
- Climate modeling
- Sustainability
- Geographic information systems
- Geospatial intelligence
- Spatio-temporal data mining
- Visual analytics for earth science data
- High-performance computing applications
- Evaluation or validation techniques

Space Science Applications
- On-board and real-time machine learning
- Decision making under uncertainty
- Constraint-driven data mining and machine learning
- Event mining and robotic telescopes
- Unsupervised and supervised learning in astrophysics
- Highly scalable algorithms
- Risk management in space missions
- Classification in large sky surveys

Aerospace and Engineering Systems
- Related government engineering applications (DOE, DOD, others)
- Systems health applications
- Anomaly detection, diagnostics, and prognostics from large data sets
- Text mining in aerospace information systems
- Data driven reliability modeling
- Adaptive system monitoring
- System model identification
- Large data set challenges
- Exploratory mining of aerospace data
- Privacy and security issues in aerospace data
- Statistical process control using very large datasets


The conference organizers are pleased to announce that Dr. Gavin Schmidt will be our keynote speaker for CIDU 2011. Gavin Schmidt is a climatologist with NASA’s Goddard Institute for Space Studies in New York, where he models past, present, and future climate. He was cited by Scientific American as one of the fifty leading researchers of 2004 and was a contributing author for the 2007 Nobel prize-winning report of the Intergovernmental Panel on Climate Change. He is a cofounder and contributing editor of, which provides context and background on climate science issues that are missing in popular media coverage.


General Chair:
Ashok N. Srivastava, NASA Ames Research Center

Program Chair:
Nitesh V. Chawla, University of Notre Dame

Area Chairs:
Claire Monteleoni, Columbia University – Earth & Environmental Systems
Kirk Borne, George Mason University – Space Science
Paul Melby, MITRE – Aerospace & Engineering Systems

Poster Chair:
Kanishka Bhaduri, MCT/NASA Ames Research Center

Proceedings Chair:
Amal Shehan Perera, University of Moratuwa

Publicity Chair:
Karsten Steinhaeuser, University of Notre Dame / ORNL

Local Arrangements Chair:
Elizabeth Foughty, MCT/NASA Ames Research Center

Communications Chair:
Kamalika Das, SGT/NASA Ames Research Center

CIDU gratefully acknowledges support from the NASA Aviation Safety Program,
System-Wide Safety and Assurance Technologies Project.

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