[UAI] A Chance Discovery session CFP (KES2001)

From: Yukio Osawa (osawa@gssm.otsuka.tsukuba.ac.jp)
Date: Sat Mar 24 2001 - 10:33:44 PST

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    Dear Leaders in AI and (ir?)relevant areas,

    I apologize for having been lazy in sending information on events
    of Chance Discovery (please see the CFP below if this is your touch
    with the term) - I have been too busily involved in the exciting
    events on chance discovery during the year from April 2000 to March
    2001.

    Thanks to your attentions and great contributions to the sessions,
    chance discovery came to be established as relevant topics listed
    in conference CFPs - KES2001, SCI2001, Discovery Science 2001,
    JSAI2001 and to be also organized as real-profit (for researchers
    on chance discovery) workshops sponsored by Hakuhodo Inc.

    As we proposed one year ago, "the awareness and explanation (rather
    than the prediction) of rare events significant for human decision-
    making" is clearly coming to be recognized as an essential problem
    for academic and business interests, and people are beginning to say
    "subjective human perceptions on the significance of (especially
    rare) events are as meaningful as objective analysis of data" and
    the (maybe more than) fifty papers in chance discovery sessions have
    been leading this direction during the year.

    Thanks to the hot attentions from various areas as
    - - artificial intelligence
    - - social psychology
    - - statistics
    - - risk managements
    - - knowledge management
    - - marketing strategies, etc
    and economic supports of
    - - Japanese Science and Technology Corporation (JST),
    - - Hakuhodo Inc.
    and all contributers to sessions, workshops and the mailing list
    of Chance Discovery, the growing interest community is going into
    a new year since April 2001.

    Please let me send the final announce of the first year:

      ******** ******** Call for Papers ******** ********

    Special Session: Chance Discovery on Human-Data Interaction

    Fifth International Conference on Knowledge-Based Intelligent Information
    Engineering Systems & Allied Technologies
    6, 7, 8 September 2001
    Osaka-Kyoiku University, Osaka, Japan

    Web site address: http://www.bton.ac.uk/kes/kes2001/

    <The Scope of Chance Discovery>

    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 is 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.

    Besides data mining methods for finding rare but important events
    from time-series, it is also important to draw humans attention to
    such events, i.e., to make humans ready to catch chances. In this
    sense, human-information interactions are highly relevant to chance
    discovery. Furthermore, chance discovery can be seen as an extension
    of risk management to computer-aided problem solving where novel
    situations are involved.

    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.

    We especially welcome research papers on identifying and explaining
    - - new products worth to promote sales
    - - new (potential) customers to send advertising mails, for stimulating
      the sales
    - - new risks which should be avoided in business and human life, e.g.,
       risks due to newly discovered side-effects of a drug
    - - new (promising) keywords in research papers indicating pioneering
       and meaningful directions of research
    - - new keywords on the world-wide web which show attractive future
      trends and also topics from information visualization are relevant
      to chance discovery
    and topics from information visualizations are relevant to chance
    discovery.

    <Instructions for Authors>
    * Papers must be written in English (4 pages maximum).
    * Include the contact author's full name, address, telephone-, fax-
       numbers, and E-mail address.
    * Include presenter address and his/her 4 line resume for introduction
       purposes only.
    * The conference proceedings will be published by IEEE.
    * Please submit the paper by an e-mail, as a PS, PDF, of a DOC file, to
       the organizer directly. Do not address to the program committee of KES
       2001 please. If you prefer other type of manuscript, please notify
       with the submission and be sure you have some risk of being rejected
       for the reason. Please use two column format in Times New Roman, or a
       similar font style, 10 points.
    * All papers will be refereed by at least two experts in relevant fields.

    <Organizer of the session>
    Dr. Yukio OHSAWA
    - - Associate Professor, Graduate School of Systems Management,
      University of Tsukuba
    - - Researcher of TOREST, Japan Science and Technology Corporation
    Address: GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku
    Tokyo 112-0012 Japan
    Fax: +81-3-3942-6829
    E-mail: osawa@gssm.otsuka.tsukuba.ac.jp

    <Important Dates>
    Receipt of papers: 21 April, 2001
    (if you are in a situation disturbing your submission meeting the date,
    please notify the organizer above what date you can submit)
    Notification of acceptance: 15 May, 2001
    Camera-ready papers due: 1 June, 2001

    Dr. Yukio OHSAWA,
    - Associate Professor, Graduate School of Systems Management,
      University of Tsukuba
    - Researcher of TOREST, Japan Science and Technology Corporation
    Address: GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku
    Tokyo 112-0012 Japan
    Fax: +81-3-3942-6829
    E-mail: osawa@gssm.otsuka.tsukuba.ac.jp



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