DATA

EVENTO

ABRIL

01 (domingo) a

05 (quinta-feira)

Ever increasing speed and lower costs achieved by today's computer technology continues to spawn a wealth of new data types and analysis methods. Nowhere is this more true than in Earth science. New, innovative instruments collect vast amounts data, and new science data processing algorithms turn this raw information into valuable but massive geophysical data sets. However, most traditional analysis methods used in Earth science can't exploit these data because of their size, complexity, distribution over physical locations, and mis-matches in statistical characteristics. The intent of this special session (part of the IEEE Symposium on Computational Intelligence and Data Mining) is to solicit, show-case, and discuss recent developments in computational technologies, statistics and data mining that contribute to scientific understanding from massive Earth science data sets. These data sets include remote sensing data from satellites and aircraft, in-situ observational data such as those from seismic and sensor networks, and massive data sets produced by models. Key problems include data mining and statistical analysis of distributed data, data fusion, understanding the evolution of spatial and temporal structures and their physical interpretations, and comparison of model generated and observational data sets for the purpose of improving the models.

Onde: Honolulu, Estado do Havaí, EUA

Website: ieee-ssci.org/cidm2007/SSCISDME

ABRIL

11 (quarta-feira) a

12 (quinta-feira)

This annual conference is open to statisticians in the early years of their career, from both academia and the business world. It provides an excellent opportunity for young statisticians to network amongst their peers and present research from a variety of statistical topics they have been involved in during their own studies or early career.

Onde: University of the West of England (UWE), Bristol, Inglaterra

Website: For further details please visit http://ysm2007.googlepages.com

ABRIL

11 (quarta-feira) a

13 (sexta-feira)

The ENBIS-DEINDE 2007 Conference aims to join people working on Design of Experiments and related fields. DEINDE was first introduced in the early nineties as a forum for researchers and practitioners alike to discuss topics related to industrial experimentation. This conference is to join common areas of interest of DEINDE and ENBIS organizations. The conference intends to bring together both leading experts and researchers, thus creating a forum to cover recent progress and to stimulate exchanges among active researchers. It will also encourage informal contacts and discussions among participants.

Onde: Torino, Itália

Website: web.econ.unito.it/deinde07

ABRIL

12 (quinta-feira) a

14 (sábado)

Organized by the Department of Mathematical Sciences at the University of Arkansas to take place at the Center for Continuing Education, 2 E Center Street, Fayetteville, AR 72701. The main goal of the 32nd Spring Lecture Series is to bring together leading experts, young researchers and graduate students in the area of Spatial and Spatio-Temporal Statistics. The conference will review recent developments, present the state of the art in the field and point to important challenges and open problems. The conference will have a series of five one-hour lectures, nine one-hour talks delivered by invited speakers on topics that complement and expand the content of the lectures. The conference will also include contributed talks and a poster session, which provide the main avenue for active participation of graduate students and junior researchers.

Onde: Fayetteville, Estado de Arkansas, EUA

Website: comp.uark.edu/~jjsong/SLS2007/

ABRIL

17 (terça-feira) a

18 (quarta-feira)

Statisticians, social and behavioral scientists, epidemiologists, economists, policy analysts, and others are invited to participate in the Eleventh Biennial Symposium on Statistical Methods, sponsored by the CDC & ATSDR, the ASA and the Biostatistics Department at Emory University Rollins School of Public Health. The theme for the 2007 Symposium is "Analyzing and Mapping Health Inequities to Impact Policies for Eliminating Disparities." Two short courses on related topics will be offered on April 16 in conjunction with the symposium.

Onde: Atlanta, Estado da Geórgia, EUA

Website: www.cdc.gov/od/ads/sag/index.htm

ABRIL

21 (sábado)

The Department of Statistics at the University of Connecticut is proud to host this symposium. Our purpose is to bring together statisticians from all over New England at a central location. The symposium provides a unique opportunity for statisticians working in academic institutions, government agencies and industry to exchange ideas on latest advances in research and technology. Special efforts will be made to attract graduate students and young researchers to attend this symposium and present a lecture in one of the contributed sessions. Paul Dupuis, Brown University, and Nitis Mukhopadhyay, University of Connecticut, will present plenary lectures. Several special theme sessions will be arranged as well. In addition, there will be numerous contributed sessions. Presentations on all aspects of probability and statistics and their applications are welcome.

Onde: Storrs, Estado de Connecticut, EUA

Website: www.stat.uconn.edu

ABRIL

26 (quinta-feira) a

28 (sábado)

Call for Papers SDM '07: 2007 SIAM International Conference on Data Mining Sponsored by Society for Industrial and Applied Mathematics (SIAM)

Onde: Minneapolis, Estado de Minnesota, EUA

Website: www.siam.org/meetings/sdm07/

This conference brings together statisticians from academia, industry, and government to discuss ideas and advancements in the application of statistics to solve agricultural research problems. The three-day conference includes a keynote speaker, workshop, and a series of contributed papers and poster presentations. Keynote speaker Rebecca Doerge from Purdue University will also present the Sunday workshop "Introduction to Quantitative Trait Locus (QTL) Mapping in Experimental Populations: Past and Present."

Onde: Manhattan, Estado do Kansa, EUA

Website: www.ksu.edu/stats/agstat.conference/