CALL FOR PAPERS
International Workshop on Chance Discovery, Data Synthesis and Data Market
July 26th, 2015
the New Building of
Facultad de Ciencias Economicas,
Universidad de Buenos Aires.
UBA. Av. Cordoba 2122 (C1120AAQ) Ciudad Autonoma de Buenos Aires
Buenos Aires, Argentina
Accepted papers and time table
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
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.
- 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.
- 27 April, 2015: Due date for full workshop papers ( few days extended. If you need more, please ask us!!!)
- 10 June, 2015: Notification of paper acceptance to authors
- 19 June, 2015: Early registration deadline (perhaps strict....)
- 21 June, 2015: Camera-ready of accepted papers
- TBA: Late registration deadline
- 26 July, 2015: 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(firstname.lastname@example.org).
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 not be published in the conference workshop proceedings (CD-ROM) by the IJCAI2015, but we will upload files to this home page.
%and accorded oral presentation times in the main conference.
Faculty of Letters, Chiba University
1-33 Yayoicho, Inageku, Chiba 263-8522, JAPAN
The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656 JAPAN
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)
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