Dr. Gavin Schmidt, NASA GISS
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 received a B.A. in mathematics in 1989 from Oxford University and a Ph.D. in applied mathematics in 1994 from University College London. He was a postdoctoral fellow at McGill University, in Montreal, until 1996, when he was awarded a Climate and Global Change Fellowship from the National Oceanic and Atmospheric Administration and moved to the Goddard Institute. Schmidt was cited by Scientific American as one of the fifty leading ... [read more]
Ashok N. Srivastava, NASA Ames Research Center
Nitesh V. Chawla, University of Notre Dame
Claire Monteleoni, Columbia University – Earth & Environmental Systems
Kirk Borne, George Mason University – Space Science
Paul Melby, MITRE – Aerospace & Engineering Systems
Kanishka Bhaduri, MCT/NASA Ames Research Center
Amal Shehan Perera, University of Moratuwa
Karsten Steinhaeuser, University of Minnesota
Local Arrangements Chair:
Elizabeth Foughty, MCT/NASA Ames Research Center
There is no registration fee to attend this conference. Participants will be asked to pay a nominal amount for covering food and refreshments.
To register for CIDU, please visit our registration site.
To purchase food for the conference, please visit our food registration site. Please note that we do not accept American Express. For participants that do not wish to pay for food at the conference, there are a variety of local dining options available. However, we encourage participants to join us for meals, as they are an important part of the networking opportunities at CIDU.
Papers submissions due: June 10, 2011 (Updated)
Acceptance notification: July 22, 2011 (Updated)
Camera-ready papers due: July 29, 2011
Poster abstracts due: July 29, 2011 (Updated)
Poster decision notification: August 19, 2011
Although registration is complimentary, we encourage
registration by August 31, 2011 as space is limited.
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.
Poster abstracts due: August 12, 2011
Poster decision ... [read more]
Areas of Interest
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
- 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 ... [read more]
Travel and Local Information
Directions to the Computer History Museum
1401 N Shoreline Blvd. Mountain View, CA 94043
San Francisco, San Jose, and Oakland.
Hotels Near the Conference Center:
The County Inn, Silicon Valley
Downtown Mountain View has many restaurants on Castro Street. Free parking is available. Mountain View Dining Guide
The closest grocery store to the conference is
Safeway Food and Drug 570 N Shoreline Blvd Mountain View, CA 94043 650.961.4868
New Submission Date!
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 ... [read more]