About
We are a group of researchers from Japanese and U.S. universities working on a joint project to enable data collaborations for hospitals and industries while protecting the privacy of data contributors.
In a hyper-connected society, organizations accumulate Big Data, which has a promise of many benefits including scientific discoveries and productivity increase.
Our team is developing an alternative to the conventional data analysis.
Our data collaboration technology enables organizations to share AI-generated intermediate representations of data, gaining integrated analytical results while keeping their raw data secure.
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Society 5.0
This future society is imagined as a successor of Society 4.0 that resolves many societal problems through the advances of next-generation artificial intelligence technology.
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Project Goals
Our collaborative research project aims to enable the transition to Society 5.0 through the new technological advancements in Big Data analysis.
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Applications
For the purposes of this research project, we are targeting the applications of this technology in the medical sector.
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Funding Agency
This project is funded by NEDO , the funding agency of the Japan Ministry of Economy, Trade and Industry (METI).
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Information
Latest News
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News
Project enters research and development phase
After reviewing the 2-year feasibility research achievements by the granting organization, Data Collaboration project was approve…
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News
NTT Data in appointed as co-investigator
Our industry partner NTT Data is appointed as co-investigator in this research project to implement the emerging technology in th…
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News
Research paper of our team
Research paper in collaboration with the University of Delaware - A. Bogdanova, N. Attoh-Okine and T. Sakurai, Risk and Advantage…
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News
Research paper of our team
Research paper of our team - A. Imakura and T. Sakurai, Data Collaboration Analysis Framework Using Centralization of Individual …
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News
Research paper of our team
Research paper of our team - A. Imakura, M. Matsuda, X. Ye and T. Sakurai, Complex moment-based supervised eigenmap for dimension…