CALL FOR PAPERS
2nd European Workshop on Chance Discovery and Data Synthesis (EWCDDS16)
29 Aug, 2016
Johan de Wittlaan 42-44, 2517 JR Den Haag, Netherlands
%den Haag (the Hague), Netherlands
accepted papers (with abstracts and time table)
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
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.
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
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
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.
- 17 June, 2016: Due date for full workshop papers
- by 4 July, 2016: Notification of paper acceptance to authors
- 25 July, 2016: Camera-ready of accepted papers (for USB publication)
- 11 July, 2016 at 13:00 CET: Early registration deadline (extended)
- TBA, 2016: Late registration deadline
- 29 Aug, 2016: Workshop date
Paper submissions should be limited to a maximum of 6 pages in the
ECAI2016 conferene paper format ( http://www.ecai2016.org/content/uploads/2016/03/ecai.zip).
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, novelty, originality, significance, soundness and clarity. At least three referees will review each submission independently.
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.
Faculty of Letters, Chiba University/Dwango Artificial Intelligence Laboratory
1-33 Yayoicho, Inageku, Chiba 263-8522, JAPAN
The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656 JAPAN
Graduate and Postgraduate Studies in Philosophy
Department of Humanities, Philosophy Section
University of Pavia, Pavia, Italy
- David Bergner (USA)
- Lorenzo Magnani (Italy)
- Peter McBurney (UK)
- Shusaku Tsumoto (Japan)
- Katsuyoshi Yada (Japan)
After the workshop, we would like to organize a special issue in a
certain journal including revised and extended version of selected
Previous Workshops on Chance Discovery and related themes: