Dear all,
Paper submission due has been extended!! If you are still interested
in submitting your paper, please submit your paper.
---
[CALL FOR PAPERS]
2nd European Workshop on Chance Discovery and Data Synthesis (EWCDDS16)
in ECAI2016
http://ultimaVI.arc.net.my/ave/ECAI2016/
29--30 Aug, 2016
den Haag (the Hague), Netherlands
Session Themes: [Chance Discovery: Synthesis and Curation of Chance]
Since our definition in 2000, 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 in the future.
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
simply predicting the future.
This workshop will discuss several problems in Chance Discovery. As shown,
Chance Discovery is a research to study how to discover rare or novel events
causing potentially significant situation. Although the event itself could not
be significant. A chance might be computationally or manually discovered.
Thus, advanced computational techniques such as abduction and induction
(including data mining) could be applied to Chance Discovery. In addition,
personalised and very traditional (sometimes, manual) data mining method
could also be effective in Chance Discovery. We have discussed limitations
of conventional data mining methods. And many new computational methods, and
concepts and mechanisms of human discovery have been proposed. In the contexts,
we have discussed how to discover and suggest events causing significant but
hidden events. Our common understandings are that we deal with events in the
real world, therefore, we need to have knowledge about movement in a society,
behaviour of people, as well as computational methods. In addition, it is
important to discuss effective chance evaluation, selection, and suggestion
methods. It would be a gate for fantastic and innovative applications. Thus,
we would like to discuss from logical, computational, cognitive, sociological,
economical and psychological viewpoints. From the rather different viewpoint,
we would also like to discuss ``curation'' of chance. Traditionally, curation
is not only concerned with long-term care of books, paintings or other
artefacts. It is also about maintaining their integrity and enabling and
promoting their availability to appropriate audiences (Lord, P and MacDonald,
A.: e-Science Curation Report (2003)), i.e., an aspect for information
synthesis. As shown above, for chance discovery, we have focused on strategies
to discover rare or novel events and those to present hints of chance to users.
In addition, by curation, we add a more active action to chance discovery,
which, for instance, curators usually struggle to explicitly or implicitly
express extended or hidden meanings (values) to potential audiences.
By introducing these new concepts ---chance synthesis and curation, we can go
beyond what we called chance discovery--- reach creating and re-organization
of chances, not in our previous application fields such as product
designs/marketing but also the design of peaceful and prosperous society to
live in.
In addition, we would like to discuss how to create and design the market
where data are reasonably dealt with, i.e., sold, opened free, or shared
after negotiation. Our ultimate goal is to have each people on the earth feel
free to share one's own data with others without fearing of the loss of
business opportunities. In order to make a social environment where analysts
and decision makers in active businesses and sciences can be provided with
data they need, in this workshop we also aim to (re)design an environment
called the Market of Data, where each user or provider of data can understand
the value of each part of data so that one can buy/sell it for a reasonable
price. Here, the value of each part of data shall be visualized to aid users'
considering its possible contribution to promoting/creating businesses and
scientific findings. This can be regarded as a new type chance synthesis.
Topics to be discussed (will not be restricted to):
---Decisions by synthesis of information
Methods and processes for synthesizing evidences for/by chance
discoveries
Data synthesis by integration of computational and manual methods for
data analysis.
---Basic and theoretical issues
Cognitive factors in chance discovery and synthesis of information.
Logical formalization for discovering chances and synthesizing pieces
of information.
---Data analysis and data mining
Analyses of complex systems (society, community etc.) involving human
behaviors.
Methodologies and models for foretelling next trends, for discovering
rare/novel events, and for noticing/evaluating the significance of events.
New directions in chance discovery
Curation of chances: methodologies for suggesting and exhibiting
information
Creations and innovations by extending or applying Chance Discovery.
Business/daily-life applications of Chance Discovery.
Market of Data
Data collection and consruction.
Determination and visualization of value of data.
Important date:
17 June, 2016: Due date for full workshop papers
by 4 July, 2016: Notification of paper acceptance to authors
25 July, 2014: Camera-ready of accepted papers (for USB publication)
5 July, 2016: Early registration deadline
TBA, 2016: Late registration deadline
18 or 19 Aug, 2014: Workshop date
Submission:
Paper submissions should be limited to a maximum of 6 pages in the ECAI2016
conferene paper format
(http://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors/).
Papers can be submitted to Akinori Abe (a...@ultimavi.arc.net.my) and
Yukio Ohsawa(y.ohs...@gmail.com).
Review:
All submissions will be reviewed on the basis of relevance, novelty,
originality, significance, soundness and clarity. At least three referees
will review each submission independently.
Publication:
Accepted papers will be uploaded on this web site. The workshops papers will
not be included in the proceedings of ECAI, however, probably ECAI2016 will
be able to add them to the conference USB stick.
After the workshop, we would like to publish a book including revised and
extended version of workshop papers.
Chairs:
Akinori Abe
Faculty of Letters, Chiba University/Dwango Artificial Intelligence
Laboratory
1-33 Yayoicho, Inageku, Chiba 263-8522, JAPAN
E-mail: a...@ultimavi.arc.net.my
Yukio Ohsawa
The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656 JAPAN
E-mail: y.ohs...@gmail.com
Lorenzo Magnani
Graduate and Postgraduate Studies in Philosophy
Department of Humanities, Philosophy Section
University of Pavia, Pavia, Italy
Program Committee:
David Bergner (USA)
Lorenzo Magnani (Italy)
Peter McBurney (UK)
Shusaku Tsumoto (Japan)
Katsuyoshi Yada (Japan)
Special information:
After the workshop, we would like to organize a special issue in a certain
journal including revised and extended version of selected workshop papers.
New and updated information can be obtained from
http://ultimaVI.arc.net.my/ave/ECAI2016/
Previous Workshops on Chance Discovery and related themes:
International Workshop on Chance Discovery, Data Synthesis and Data Market in
IJCAI2015
Workshop on Designing the Market of Data --- for Synthesizing Data in Sciences
and Businesses (MoDAT) in ICDM2014
Workshop on Designing the Market of Data --- for Synthesizing Data in Sciences
and Businesses (MoDAT) in ICDM2013
1st European Workshop on Chance Discovery and Data Synthesis (EWCDDS12) in
ECAI2012
6th Int'l Workshop on Chance Discovery in IJCAI2011
5th Int'l Workshop on Chance Discovery in ICDM2010
4th Int'l Workshop on Chance Discovery in ICML2005
First European Workshop on Chance Discovery (EWCD-04) in ECAI2004
3rd Int'l Workshop on "Chance Discovery and Its Management" in HCI 2003
International
2ndInt'l Workshop on Chance Discovery (CDWS2) in PRICAI2002
International Workshop on Chance Discovery in JSAI 2001
Akinori Abe, Yukio Ohsawa, and Lorenzo Magnani
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