KEIO University 21st Century COE Program "Integrative Mathematical Sciences:Progress in Mathematice Motivated by Natural Phenomena"
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SeminarLecture Invited

Workshop on the Navier-Stokes Equations

Date: May 6 – 8, 2004
Location: Faculty of Science and Technology, Keio University
(Build. 14, Room No. 203)
Organizer: Gregory Seregin (Steklov Institute of Mathematics, St. Petersburg/Keio University)
Atusi Tani (Keio University)
List of Participants

Cherry Bud Workshop (Second Announcement)

Analysis of Natural and Social Phenomena:Data Science and System Reduction

This workshop forms part of the 21st Century COE program at Keio University, “Integrative Mathematical Sciences: Progress in Mathematics Motivated by Natural and Social Phenomena”

From the 21st to the 23rd of March, 2004
Pan Pacific Hotel, Yokohama, Japan

Workshop Dinner
18:00-20:00 on the 22nd of March

We are very pleased to announce the opening of this international workshop. The registration fee is 10,000 yen to attend the workshop, but this includes the conference dinner party. If you are interested in attending this workshop, please inform us of your intention to participate by contacting the COE program secretary, Ms. Miyuki Saito. The number of participants is limited to 100.

Pre-Registration is strongly advised before the 12th of March
Phone +81-45-566-1442
FAX +81-45-566-1768 c/o Ms. Miyuki Saito
Mail Ms. Miyuki Saito,
The COE Program Secretary
Keio University
3-14-1 Hiyoshi, Kohoku-ku, Yokohama, 223-8522, Japan

Special themes of the workshop:
- modelling biological systems
(genetic systems,; complex ecological systems etc)
- modelling meteorological phenomena and earthquakes
(space-time models; point process models; fracture models; etc)
Background :
The focus of this workshop is on modelling large-scale complex systems that occur in the natural and social sciences, with a view to better understanding the large-scale dynamics, among other aspects, that underpin such systems. In this context modern data science models and methods are indispensable. Coarse-grained modelling and system reduction techniques developed in applied mathematics are also relevant. One of the aims of this Workshop is to provide opportunities for communication among research workers from different disciplines, especially data science and mathematics.
Meteorological Phenomena
Rick Katz (NCAR, USA)
Statistics of Extremes in Climate Change.
Kazuyoshi Nishijima and Jun Kanda (University of Tokyo)
Modeling of strong wind speed driven by typhoon and its spatial dependency with multivariate extreme value distribution.
Peter Thomson (SRA, NZ)
Fitting hidden semi-Markov models to breakpoint rainfall data.
Dan Wilks (Cornell University)
Space-times stochastic modelling of daily weather data: “weather generators”.
Xiaogu Zheng (NIWA, NZ)
Statistics in weather and climate predictions.
Earthquakes and Point Process
Emery N. Brown (Harvard University)
State-space modeling of point process systems with applications to information encoding by neural systems.
David Harte (SRA, NZ)
Fractals, point processes and earthquakes.
Yan Y. Kagan (ESS, UCLA)
Earthquakes: statistical analysis, stochastic modeling, mathematical challenges.
Kunihiko Shimazaki (University of Tokyo)
Activation, quiescence, and b-value change of the background seismicity in inland Japan.
David Vere-Jones (SRA, NZ)
Long-range dependence and self-similarity for point processes.
Jiancang Zhuang (Institute of Statistical Mathematics, Tokyo)
Visualizing goodness-of-fit of a point process model for earthquake clusters.
Biological Sequence
Shigeo Kamitsuji and Ritei Shibata (Keio University)
Data driven classification of protein sequences and identification of the preserved block.
Grace S. Shieh (Institute of Statistical ScienceAcademica Sinica, Taiwan)
Reconstructing gene networks by a data-driven response sarface method.
Glenn Stone (CSIRO, Australia)
Massively multivariate data mining - applications to microarray data
Financial Market
Meihui Guo (National Sun Yat-sen University, Taiwan)
Modelling of heavy tailed financial returns.
Thomas J. Anastasio (Beckman Institute, University of Illinois at Urbana-Champaign)
Statistical inference as one possible function of computation by neurons.
Hiroto Ogawa (Saitama Medical College)
Optical imaging analysis of neural computation: internal representation and processing of sensory signals.
Toshinobu Shimoi, Daisuke Yokouchi, Kotaro Oka and Ritei Shibata (Keio University)
Estimation of motor neuron connectivity in earthworm nervous system.
Andrew Sornborger (University of Georgia)
Harmonic analysis, experimental design and the visual cortex.
System Reduction
Yasumasa Nishiura (Hokkaido University)
Unstable objects control the scattering process of moving particles in dissipative systems
Yoshitsugu Oono (University of Illinois at Urbana Champaign)
Data mining vs system reduction: conversation possible?.
Edriss Titi (Weizmann Institute of Science)
Finite dimensional long-term dynamics of infinite dimensional dissipative evolution equations.

Organizing Committee
Ritei Shibata (Convenor)
Keio University, Japan, and member of the COE programme.
Yoshitsugu Oono
University of Illinois at Urbana-Champaign, USA, and member of the COE programme.
Peter Thomson
Statistics Research Associates Ltd, New Zealand, and member of the COE Advisory Board.

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