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Jan 31, 2013. Spatial statistics is a rapidly developing field which involves the quantitative analysis of spatial data and the statistical modelling of spatial variability and uncertainty. Following the highly successful first conference in 2011, the aim of the 2013 meeting is to present interdisciplinary research where applicability in other disciplines is a central core concept.
Spatial dimensions of survey nonresponse Massive spatial and space-time datasets and data mining Small area estimation and handling missing spatial and space-time data Spatial and space-time sampling and monitoring networks Combining deterministic and stochastic models for spatial and space-time processes Analysis of spatial and spatio-temporal extremes Spatial and space-time modeling of non-Gaussian (e.g., categorical) and non- stationary data Model-based geostatistics Multivariate spatial statistics Teaching spatial statistics Point pattern analysis
Jan 28, 2013. This is the announcement of the 2013 Inverse Problems Symposium that will be held June 9-11 in Huntsville, Alabama. Please mark this time in your calendars. This symposium is the 26th in the series of national and international meetings on Inverse Problems that were initiated at MSU in 1988 by Dr. James Beck. he last symposia were held at the University of Central Florida and Michigan State University in 2011 and 2012, respectively. The 2013 symposium in Huntsville, Alabama will retain the single session format of these symposia, and will have sessions addressing both the theoretical and applied aspects of inverse problems. We are actively seeking session organizers, so please let us know if you are interested. www.inverseproblems2013.org
Jan 25, 2013. The fourteenth conference on the Mathematics of Finite Elements and Applications will be held at Brunel University and run during 11 - 14 June, 2013. Important dates:
4th April 2013, Early Bird registration 17th May 2013, Normal registration 10th May 2013, Deadline for partial refund due to cancellation 26th April 2013, Abstract Deadline
Jan 25, 2013. We announce the 6th Sasaki Symposium on Data Assimilation for Atmospheric, Oceanographic and Hydrological Applications to be held in the AOGS on 24-28 June 2013, Convention & Exhibition Centre, Brisbane, Australia.
Topics for the session include but are not limited to: 1) assimilation techniques and theories; 2) treatment of nonlinear and discontinuous processes; 3) assimilation of in-situ and/or remotely-sensed observational data; 4) sensitivity analysis and its application to adaptive (targeting) observation; and 5) predictability and ensemble prediction studies relevant to data assimilation.
Please submit your abstract through online by 29 January 2013 at http://www.asiaoceania.org/aogs2013/. Please refer to the attached files for more details and consider attending this memorable meeting. We appreciate your circulating this announcement in your institution. Thank you very much.
Regards, Seon K. Park, Convener, Liang Xu, Co-Convener, Boon Chua, Co-Convener, Francois-Xavier Le Dimet, Co-Convener
More than 100 scientific societies, universities, research institutes, and organizations all over the world have banded together to dedicate 2013 as a special year for the Mathematics of Planet Earth. see more at http://mpe2013.org/newsroom-2/
Deadline for submission of Minisymposia proposals: January 31, 2013. For further information on how to submit the Minisymposia proposals please visit: http://www.wccm-eccm-ecfd2014.org/frontal/MSSubmit.asp
July 20-25, 2014: Barcelona, Spain: 5th European Conference on Computational Methods (ECCM V) July 20-25, 2014: Barcelona, Spain: 6th European Conference on Computational Fluid Dynamics (ECFD VI) July 20-25, 2014: Barcelona, Spain: IACM World Congress (WCCM XI)
Jan 23, 2013. The fifteenth edition of the International Conference on Electromagnetics in Advanced Applications (ICEAA 2013) is supported by the Politecnico di Torino, by the Istituto Superiore Mario Boella and by the Torino Wireless Foundation, with the principal technical cosponsorship of the IEEE Antennas and Propagation Society and the technical cosponsorship of the International Union of Radio Science (URSI) and the IEIIT - CNR. It is coupled to the third edition of the IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC 2013), and to the first edition of the Electromagnetic Metrology Symposium (EMS 2013) organized by Commission A of URSI in cooperation with ICEAA. The three conferences consist of invited and contributed papers, and share a common organization, registration fee, submission site, workshops and short courses, banquet, and social events. The proceedings of the conferences will be published on IEEE Xplore. For details, please visit the Web site at: http://www.iceaa.net/
Submission of abstracts: March 1, 2013 Notification of acceptance: April 12, 2013 Final manuscript and presenter registration: June 7, 2013
July 22-26 there will be a Summer School / Workshop on Data Assimilation at the University of Reading. The subtitle of the school is "From Weather Prediction to Neuroscience" - with the goal to bring different communities together and learn from the experiences and questions of teh different fields. Introductions into classical and modern data assimilation methods will be provided by a range of experts in the field. More information will follow in due course.
Conference Website: http://www.inverseproblems.info/reading:summer_school_2013
The deadline for the proposal for poster presentations has been extended to the last day of Feb., 2013. You may find the current list of poster presentations and instruction to prepare a proposal at http://open.nims.re.kr/AIPC2013/web/Poster.html.
The new Simons Institute for the Theory of Computing (http://simons.berkeley.edu) will begin organizing semester-long programs starting in 2013. One of our first programs, set for Fall 2013, will be on the “Theoretical Foundations of Big Data Analysis”. The organizers of this program are Michael Jordan (chair), Boyd, Peter Buehlmann, Ravi Kannan, Michael Mahoney, and Muthu Muthukrishnan. See http://simons.berkeley.edu/program_bigdata2013.html for more information on program.
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