Affiliation:Prof., Dept. of Systems Innovation
Since year 2000, as an extension of KeyGraph (1997), we have been studying and developing methods for externalizing events that are rare/uncertain but noteworthy for decision making. The method includes the four-step process (1) externalizing latent concerns and interests (2) collection, selection, and visualization of data (3) argumentations for creating a valuable scenario of events and actions (4) planning and acting. We study basic sciences relevant to each step, with exporting our methods to real sites businesses including manufacturing, services, education, and consultation for problem detecting and solving.
On a game board visualizing the data about relevance among existing elements (pieces of knowledge, technologies, commodities, etc), players discuss for creating new, useful, and realistic ideas of products and services. “Inventors” who combine the elements to propose ideas compete on the imaginary money they earn in the game, whereas “consumers” who criticize and buy the products/services compete on the quality of life they raise by the buying. The method has been applied for designing hardware, software, services, and policies. Also educational courses relevant to these designs introduced IM.
In stores of movie DVDs and music CDs, we often find a poster “this shelf has only the jacket; for the content please go ahead to buy at the register.” This implies that information of less details than a certain level can be shown open to the public, whereas the rest in details tends to be hidden. n IMDJ, the feature of each dataset is appealed via the statement on a “Data Jacket” and the method of Innovators Marketplace is applied for the externalization of the value of each dataset and of the use scenarios of data. For example, players of IMDJ recently noticed data on information browsing history of students can be informative for recruiting. Here we are creating a market of data, in which owners of data can take part with choosing to open or hide the content.
Keyword:market of data, chance discovery, innovators marketplace, data visualization, argumentation, data jackets