[image 02531] International Meeting on “High-Dimensional Data-Driven Science” (HD3-2017)のご案内

[Tomo Okada]

皆様、

京都大学・脳機能総合研究センター　岡田知久です。掲題の件でご案内させていただきます。

新学術領域研究「スパースモデリングの深化と高次元データ駆動科学の創成」（領域代表：岡田真人・東大）では下記の要領で国際会議を開催いたします．
現在，

http://sparse-modeling.jp/HD3-2017/

から参加登録（参加費無料，懇親会費有料）ならびに
ポスター発表（9月12日午後）の募集を行っています．
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HD3-2017 組織委員一同

記

International Meeting on “High-Dimensional Data-Driven Science” (HD3-2017)
URL: http://sparse-modeling.jp/HD3-2017/

Scope:
In the Big Data era, high-dimensional data-driven science (HD3
Science) has attracted considerable attention. In natural science,
highly advanced experimental and measurement technologies yield
high-dimensional data intractable for conventional analyses based on
researchers’ intuition. However, recent progress in information
science provides a variety of methodologies through which the problems
of high-dimensional data are addressed. The scientific principle of
HD3 Science is to establish a universal modeling platform where the
motivation of natural science is smoothly conveyed with
high-dimensional data to information science. The previous meeting for
HD3-2015 focused on “sparse modeling” as a principal component of the
platform and its wide application to nuclear magnetic resonance
spectroscopy in chemistry, magnetic resonance imaging in medicine, and
astronomical interferometry in astronomy.
The scope of this HD3-2017 meeting is the latest development and
future perspective of HD3 Science. Sparse modeling is effective for
extracting explanatory variables and interactions from complex systems
and has broadened its horizons to include planetary, geo, and life
sciences. In addition to experimental science, computational science,
such as molecular dynamics in life science, ab initio calculation in
material science, and computational fluid dynamics, may provide
another testing ground for HD3 Science. Hierarchical modeling
technologies will be essential for relating experimental and
computational high-dimensional data to reveal multiscale phenomena.
HD3-2017 offers a forum where diverse viewpoints are brought together
to strongly promote HD3 Science.

Date: September 10th -13th, 2017.
Venue: Mielparque Kyoto, Kyoto, Japan (one minute walk from JR Kyoto Station)

Invited Speakers:
• Jukka Corander (University of Oslo, Norway)
• Phil R. Cummins (Australian National University, Australia)
• Michael Feig (Michigan State University, USA)
• Michael Garwood (University of Minnesota, USA)
• Alexander K. Hartmann (University of Oldenburg, Germany)
• Tatsuro Kawamoto (National Institute of Advanced Industrial Science
and Technology, Japan)
• Florent Krzakala (ENS École Normale Supérieure, France)
• Tomoko Matsuo (University of Colorado Boulder, USA)
• Reid Parsons (Fitchburg State University, USA)
• Iva Pritisanac (Goethe University Frankfurt, Germany)
• Samuel S. Schoenholz (Google, USA)
• Isseki Yu (RIKEN, Japan)

Speakers from the Innovative Area
• Shotaro Akaho (National Institute of Advanced Industrial Science and
Technology, Japan)
• Ichiro Akai (Kumamoto University, Japan)
• Issei Fujishiro (Keio University, Japan)
• Kenji Fukumizu (The Institute of Statistical Mathematics, Japan)
• Takane Hori (Japan Agency for Marine-Earth Science and Technology, Japan)
• Yasuhiko Igarashi (The University of Tokyo, Japan)
• Takuma Kasai (RIKEN, Japan)
• Takashi Misaka (Tohoku University, Japan)
• Hideaki Miyamoto (The University of Tokyo, Japan)
• Yoshinori Nakanishi-Ohno (The University of Tokyo, Japan)
• Masayuki Ohzeki (Tohoku University, Japan)
• Yonghao Yue (The University of Tokyo, Japan)

Contact:
hd3-2017 ＠ googlegroups.com

Sponsor:
Graint-in-Aid for Scientific Research on Innovative Areas “Initiative
for High-Dimensional Data-Driven Science through Deepening of Sparse
Modeling”