MoDAT 2017 - 5th International Workshop on the Market of Data - Creating tools, data, and sensors from the Social Intelligence

MoDAT, the Market of Data, is a market where data and items linked to data are dealt with. Participants of this market include data provider, data user, data broker, data scientists, and latent stakeholders who may play a role in any businesses created using data. The goal of MoDAT is to realize data driven innovation, by reasonable methods of using and reusing data. Decisions to open data free, to sell data for suitable prices, or to exchange/share after negotiation, are made in the market of data to fit demands of data users and development of technologies. In negotiation, participants should discuss use-scenarios of data until they learn the value of data and, in a good case they feel free to share/exchange data with each other.
In MoDAT workshops since ICDM2013 till ICDM2016, we discussed how to design the market of data. So far, ideas were born to lead productive actions in businesses and sciences - including industrial, political, and educational sectors - with the aid of analogy, web mining, data links and so forth.
A good feature of the market of data is that resources (data, tools with AI, and devices for collecting data, i.e., sensors) have been invented by data scientists and data/sensor providers to fit the requirements of data users. That is, participants once try to combine existing resources but start to explore new resources, and finally decide to create new data, tools, and sensors. Also, we believe participants of ICDM, have rich resources to combine, and for accelerating the exploration and creation of resources. This year we focus on researchers’ motivation to ignite creativity, which may be derived from the real market of data, such as the requirements of real or latent users. We call for anyone interested in this topic and MoDAT.
Relevant topics (include, not restricted to)
Data: Featured data, their points of interestingness, and the reason why the data are interesting. As well know, publications about data themselves are coming to be established - one way of data curation.
Data/Text mining and visualization: visualization of links among data, representing comparability or possibility to be combined, or modeling and extracting such links and essential attributes from data.
Sensors: Devices and methods to collect new data, and new features for new data.
However, the highlighted viewpoint of our review will be why you used, collected, or created the data. In this sense, the below will remain as a strengthened core topic this year:
Human Sciences about communication, education, and innovation: methods to foster potential providers, users, analysts, and scientists of data to externalize use-scenarios of and learn latent values of data.
Representation of knowledge and requirements: ontologies, semantic analysis, in data engineering for linking interests and datasets from different domains.
Process and technologies for data exchange: technologies and rulemaking to secure mechanism for data exchange in the transaction, security, accountability, governance structure and so forth, for the Market of Data.
We will divide accepted papers (both to be included in the ICDMW proceedings from IEEE) into (A) the oral session and (B) the gaming session of Innovators Marketplace® on Data Jackets, where social requirements and technical solutions meet, as an embodiment of innovative market of data. IMDJ is a gamified market of data, which is an experimental but a practical workshop toward data-driven innovation. Students and more than 100 companies joined IMDJ so far. Studies on theories and technologies for IMDJ are supported by Japan Sciences and Technology Agency, multiple ministries (MITI, MEXT, etc.) of Japan, and tens of private firms. Authors can choose one or both of them, but we recommend the latter - here participants will learn how, with whom, and why their resources can be the basis of businesses in the future.