CALL FOR PAPERS
6th International Workshop on Chance Discovery (IWCD6)
16-18 July 2011
Workshops will take place at
the Universitat de Barcelona.
Barcelona, Catalonia (Spain)
program with abstract+photo
Workshop Themes: [Chance Discovery: Curation of Chance and Service Science]
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
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
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
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):
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.
- Analysis of human behaviour.
- Analysis of complex systems (society, community etc.).
- Applications of Chance Discovery.
- Innovations as Chance Discovery.
- Value sensing in Chance Discovery.
- Curation of chance
- Characterization of ``Chance.''
- Aspects behind Chance Discovery.
- 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.
- Theories and methodologies for an evaluation and selection of chance.
- Models and methodologies for effective suggestion of chance.
- Model-based reasoning.
- Relationship between computational and manual methods.
- Integration of computational and manual methods.
- Systems for service to understand consumer behavior.
- Systems to integrate various services.
- New data mining applications and new insights for service science.
- Case studies of data mining applications for service science.
- 15 April, 2011: Due date for full workshop papers
- by 17 May, 2011 (JST): Notification of paper acceptance to authors (needs few days...)
- 20 May, 2011 (11:59PM, UTC-12): Early registration deadline (
- 30 May, 2011: Camera-ready of accepted papers
- 21 June, 2011 (11:59PM, UTC-12): Late registration deadline
- 16 July, 2011: Workshop date
Paper submissions should be limited to a maximum of 6 pages in the
IJCAI conferene paper format.
Papers can be submitted to
Akinori Abe (ave@ultimaVI.arc.net.my) and Yukio Ohsawa(email@example.com).
All submissions will be reviewed on the basis of relevance, originality, significance, soundness and clarity. At least three referees will review each submission independently.
Accepted papers will be published in the conference workshop proceedings (CD-ROM) by
the IJCAI2011 and accorded oral presentation times in the main conference.
NTT Communication Science Laboratories
3-1 Wakamiya, Morinosato, Atsugi-shi, Kanagawa 243-0198 JAPAN
The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656 JAPAN
Program Committee (will be added more):
- David Bergner (USA)
- Mayumi Itakura Kamata (Japan)
- Lorenzo Magnani (Italy)
- Peter McBurney (UK)
- Ruediger Oehlmann (UK)
- Wataru Sunayama (Japan) (Public relation chair)
- Xijin Tang (China)
- Shusaku Tsumoto (Japan)
- Katsuyoshi Yada (Japan)
We plan to publish a book or a journal special issue on Chance Discovery (Springer verlag) based on contributions in this workshop and the other workshops.
Decision Making in Partially Observable, Uncertain Worlds:
Exploring Insights from Multiple Communities
Their aspect of computation on well defined
models and our aspect on ill- or semi-defined
human models (i.e., we will be on the way of
modelliing human's process to chance discovery
almost eternally) are good to communicate via
weak tie, as we find in the subtitle
``Exploring Insights from Multiple Communities''.....
Previous Chance Discovery Workshops