Dear all,

We are going to have the following workshop in IJCAI2015.
Could you please deliver this cfp to your friend and submit your papers?

best regards,

Akinori and Yukio
------


[CALL FOR PAPERS]

International Workshop on Chance Discovery, Data Synthesis and Data Market
in IJCAI2015

                     July 25th to July 27th, 2015
                        Buenos Aires, Argentina

                 http://ultimaVI.arc.net.my/ave/IJCAI2015/

Workshop Themes: [Chance Discovery: Synthesis and Curation of Chance, and data 
market]

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. Model-based reasoning (MBR) has also 
been dealing with such applications as creative changes, scientific discovery 
and conceptual change. MBR combines many research fields such as philosophy, 
artificial intelligence, cognitive psychology, and logic (including abduction) 
for modeling and model retrieval. MBR deals with model which can be applied to 
suggest or discover a chance. Contributions from MBR is very important for 
chance discovery, and we have the same viewpoints and problems.
In addition, we would like to discuss ``curation'' of chance. We have started 
discussion on ``curation'' of chance since 5th International Workshop on 
Chance Discovery (IWCD5). 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 (http://www.jisc.ac.uk/e-sciencecurationreport.pdf). 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. By 
curation, we add a more active action to chance discovery, which curators 
usually struggle to explicitly or implicitly express extended or hidden 
meanings (values) to potential audiences.
In addiition, as an actual application of chance discovery, we focus on 
service science. In midst of service applications in engineering and the 
increasing importance of the service sector in the global economy, services 
are being scientific and much attention is being focused on service science 
as a means to improve productivity. Since services are amorphous (they have 
no shape) and have the special characteristic of simultaneously causing both 
production and consumption, it has been difficult to research services in a 
scientific way. However recently, due to the spread of the internet and 
technical innovations in sensor networks, huge amounts of data related to all 
kinds of service activities and processes are being collected, and a new 
frontier of service research is starting to appear. Thus for service science, 
we will focus on empirical findings, methodological, theoretical, and 
conceptual insights related to chance discovery in the field of various 
service application areas. Of course, as you can guess, service science can be
discussed from the viewpoint of curation.

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. 

Actually, we are waiting for new research fields or proposals (not included 
in the above list) which might be related to or contribute to chance discovery.

Important date:
    15 April, 2015: Due date for full workshop papers
    by 15 May, 2015: Notification of paper acceptance to authors
    TBA: Early registration deadline
    10 June, 2015: Camera-ready of accepted papers
    TBA: Late registration deadline
    25-27 July, 2015: Workshop date 

Submission:
Paper submissions should be limited to a maximum of 6 pages in the IJCAI 
conferene paper format.
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, originality, 
significance, soundness and clarity. At least three referees will review 
each submission independently.

Publication:
Accepted papers will be published in the conference workshop proceedings 
(CD-ROM?) by the IJCAI2015 and accorded oral presentation times in the 
main conference.

Chairs:
Akinori Abe
    Faculty of Letters, Chiba University 
    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

Program Committee (will be added more):
        David Bergner (Saint Mary's College of California, USA)
        Lorenzo Magnani (University of Pavia, Italy)
        Ruediger Oehlmann (Kingston University, UK)
        Shusaku Tsumoto (Shimane University, Japan)
        Katsuyoshi Yada (Kansai University, Japan) 

Special information:
We plan to publish a book or a journal special issue on Chance Discovery and 
data market based on contributions in this workshop and the other workshops.

Previous Chance Discovery and related Workshops: 
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 IJCAI 2011
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
2nd Int'l Workshop on Chance Discovery (CDWS2) in PRICAI2002
International Workshop on Chance Discovery in JSAI 2001 

-----
Akinori Abe

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