Dear All,
Below is the newest CFP of a "Chance Discovery" workshop in Greece.
Please let me say again that a "chance" here means a significant
event or situation for making a decision. I still hear
"chance discovery" sounds like "discovery by chance" but we mean
"discovery of chance" and include fatal risks as well as good
opportunities in the meaning of a "chance."
As a matter of fact, the ten international sessions on chance
discovery in the couple of years have been dealing with various
real-world domains where radical changes in the environment may
become extraordinarily significant for decision-making but cannot
be understood by existing models of the occurrences of event.
Also, the uncertainly of a piece of information about what we
call a chance is an essential issue we deal with. Therefore,
approaches by mathematicians, cognitive scientists, social
scientists, and from other various areas as well as AI have been
playing important roles. We really had a good interdisciplinary
meeting in the last fall symposium of AAAI. You can regard a
"chance" as something which may occur as a sheer accident, but
can be favored by a prepared mind and put into a real profit.
The deadline below seems to be very tight, but not so strict
according to the chairs (H. Shoji and Y. Matsuo). If you allow me
to be honest, they need information just of the title, author's
information and abstract by January 20. If you need more time,
please feel free to contact the chairs. I apologize if this is
the second (or third) copy of the same announcement you received.
Accepted papers to workshops will not be in the HCI proceedings,
but ones in Chance Discovery are to be published in a book from
IOS press - they are arranging the opportunity for us.
Best regards,
Yukio Ohsawa
- Associate Professor, Graduate School of Business Sciences,
University of Tsukuba
- Researcher of PRESTO, Japan Science and Technology Corporation
Office: GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku
Tokyo 112-0012 Japan
Fax: +81-3-3942-6829 E-mail: [EMAIL PROTECTED]
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Dear Colleagues,
We are pleased to announce the CFP of Workshop on "Chance Discovery
and Its Management" in HCI 2003 International.
This workshop is the third International Workshop on Chance
Discovery. The first workshop was held at JSAI2001 in Matsue, Japan,
and the second one was held at PRICAI2002 in Tokyo, Japan. Also, not a
few symposia and sessions on Chance Discovery have been successfully
held in recent years (e.g. KES2000-2002 in Europe/Japan, AAAI Fall
Symposium2002 in USA). In order to make a further progress, we are
expecting even more contribution to this field, and please consider
submitting papers to the workshop.
>>>>> >>>>> Call for Papers >>>>> >>>>>
Chance Discovery and Its Management
--- 3rd International Workshop on Chance Discovery (CDWS3) ---
A Full-day Workshop in HCI International 2003
June 22-27, 2003
Crete, Greece
http://hcii2003.ics.forth.gr/index.asp
[Important Dates]
Paper submission (Position paper, 3-5 pages long) January 20, 2003
Notification January 27, 2003
Submission of revised paper February 14, 2003
Email position paper to
Hiroko Shoji [EMAIL PROTECTED] or
Yutaka Matsuo [EMAIL PROTECTED]
The proceedings of this workshop will be published as a book by IOS
Press, merged with the proceedings of the special session on Chance
Discovery at KES 2002.
[Objective and significance of the session]
Chance discovery is the discovery OF chance, rather than discovery BY
chance. A "chance" here means a new event/situation that can be
conceived either as an opportunity or as a risk. The "discovery" of
chances is of crucial importance since it may have a significant
impact on human decision making. Desirable effects of opportunities
should be actively promoted, whereas preventive measures should be
taken in the case of discovered risks. In other words, chance
discovery aims to provide means for inventing or surviving the future,
rather than predicting the future.
The essential aspect of a chance (risk or opportunity) is that it can
be the seed of new and significant changes in the near future. The
discovery of new opportunities might be more beneficial than reliance
on past frequent success-patterns, because they are not known yet by
one's business rivals. The discovery of new risks might be
indispensable to avoid or lessen damage, because they cannot be
explained by past frequent damage-patterns. Therefore, being aware of
a novel important event without ignoring it as noise in the data is
essential for human future success.
Actually, in these 10 years, several techniques for data mining have
been developed, however, they can only show current or past
tendencies. Today, we are in the very changeable society. Therefore,
we need to find or to be shown a new event/situation that can be
conceived either as an opportunity or as a risk. For all of us, it is
very important to predict such an event like the end of economic
bubble (Japan, in 1990) or other economic panics. Since these sorts of
events can be thought of as rare or novel events or exceptions. The
conventional data mining techniques usually ignore such
exceptions. For example, the very famous Black-Scholes equation
(actually, this is not data mining, but its concept is like that of
induction or data mining) has no power for such situations.
Chance Discovery is such a research to study methodologies and
theories to show a new event/situation that can be conceived either as
an opportunity or as a risk. It is quite different from current data
mining researches. It tries to deal with complex events in the real
world. For example, it will deal with earthquake prediction,
foretelling booms, risk management, prediction of unpredictable change
of stock price, etc. For this purpose, Chance Discovery needs various
techniques like techniques to discover relationship between events, to
suggest missing events, knowledge in economy, knowledge in sociology,
knowledge in risk management, and so on. Therefore, now, it is very
important to discuss "Chance Discovery" from various viewpoints.
This workshop is intended to bring together researchers from
artificial intelligence, human-computer interaction, social and
cognitive sciences, risk management, knowledge discovery and data
mining, and other related domains, for stimulating discussions on
chance discovery.
[Topics to be discussed (will not be restricted to)]
- - Analysis of human behavior.
- - Analysis of complex systems (society, community etc.).
- - Applications for Chance Discovery.
- - Chance Discovery in Creativity Support.
- - Chance Discovery and Information Visualization.
- - Chance Discovery in Usability.
- - Chance Discovery and WWW
- - Characterization of "Chance."
- - Logical foundations for Chance Discovery.
- - Theories and methodologies to discover rare or novel events.
- - Theories and methodologies to foretell next trends.
- - Theories and methodologies to make aware of significant events.
[Organizer and Committee]
Co-organizer:
Hiroko Shoji, Kawamura Gakuen Women's University,
[EMAIL PROTECTED] Yutaka Matsuo, National Institute of Advanced
Industrial Science and Technology, [EMAIL PROTECTED]
Committee:
Peter Bruza, University of Queensland, Australia, [EMAIL PROTECTED]
Peter McBurney, University of Liverpool, UK, [EMAIL PROTECTED]
Ruediger Oehlmann, Kingston University, UK, [EMAIL PROTECTED]
Chengyu Krystian Ji, University of New South Wales, Australia, [EMAIL PROTECTED]
Yukio Ohsawa, University of Tsukuba, Japan, [EMAIL PROTECTED]
Yasufumi Shibanai, Doshisha University, [EMAIL PROTECTED]
Akinori Abe, ATR, Japan, [EMAIL PROTECTED]
Mayumi I. Kamata, University of Tokyo, Japan, [EMAIL PROTECTED]
Makoto Mizuno, Hakuhodo, Inc., Japan, [EMAIL PROTECTED]
---
---
Hiroko SHOJI, Ph.D., Associate Professor
Dept. of Information and Communication Sciences, Faculty of Education
Kawamura Gakuen Women's University
