September 26, 2018
The IoT Acceleration Lab* has been tackling the creation and social implementation of advanced projects using IoT. As one of the efforts, the IoT Acceleration Lab decided to hold an event tiled the “Fourth Big Data Analysis Contest” and will start a call for applicants on October 1, 2018. We are looking forward to receiving your application.
*Note: The IoT Acceleration Lab, an organization operated through the industry-academia-government collaboration, aims to cultivate advanced IoT projects selected from the viewpoint of the three principles of the IoT Acceleration Lab: potential of growth and leadership, dissemination potential (openness), and commitment to society, provide the selected projects with thorough support in terms of collaboration with enterprises, finance and regulations, and develop the environments in which the results of the projects are implemented on a large scale, e.g. regulatory reforms or creation of new systems. In FY2018, this contest will be held as part of the efforts under the NEDO Project for the Development of Infrastructures for Creating New Industrial Models Taking Advantage of IoT: Study for Creating and Promoting Innovative Industrial Models.
As one of its efforts, the IoT Acceleration Lab has been holding the Big Data Analysis Contest, aiming to create case examples of entities that utilize big data as well as to cultivate and foster human resources. The Ministry of Economy, Trade and Industry (METI) hereby announces that the IoT Acceleration Lab will hold the Fourth Big Data Analysis Contest focusing on the field of “maintenance of infrastructures and railways.”
Japan has been facing a significant advancement of IoT technologies, artificial intelligence, and sensing and monitoring technologies. There are high expectations for these technologies as a means for solving problems involving maintenance and management of social infrastructures. The Fourth Big Data Analysis Contest will focus on railways: one of the social infrastructures, and provide two categories of competition: prediction category and idea category. In the former category, participants will predict a future displacement level of rail tracks based on the data provided by the East Japan Railway Company, and in the latter category, participants will compete concerning ideas on data analysis making use of certain data focusing on the field of railways. At the contest, winners will be selected and recognized for their development of outstanding algorithms with excellent prediction accuracy and ideas on modeling and also for their proposals for ideas on data analysis. We are looking forward to receiving applications from all those interested.
2. Outline of the event
|Field||Maintenance of social infrastructures and railways|
|Period of the contest||From October 1 (Mon.), 2018, to January 10 (Thur.), 2019|
|Process of assessment||
|Commendation ceremony||From late February 2019 (tentative)|
The IoT Acceleration Lab, METI, and the New Energy and Industrial Technology Development Organization (NEDO) Supporting organizations:
The Ministry of Education, Culture, Sports, Science and Technology (tentative), the Ministry of Land, Infrastructure, Transport and Tourism (tentative), the National Conference for Infrastructure Maintenance, the Center for Artificial Intelligence Research (C-AIR) of the University of Tsukuba, the Railway Technical Research Institute, the Japan Railway Civil Engineering Association, and the Mobility Innovation ConsortiumCooperating organizations:
East Japan Railway Company, NTT Docomo Inc., KYOCERA Corporation, SAKURA Internet Inc., JR Souken Information Systems Co., Ltd., JR East Information Systems Company, Tableau Japan K.K., Japan Railway Track Technology Consultants Co., Ltd., NEC Corporation, Panasonic Corporation, Hitachi, Ltd., and Mitsubishi Electric CorporationOperator: SIGNATE Inc.
|Eligibility and how to apply||Please visit the following website and send an application form.
The official website for the contest (in Japanese)
Division in Charge
Information Economy Division & IT Innovation Division, Commerce and Information Policy Bureau