1. Challenges for the Big Data Applications in Japan: Hopes and
Concerns Takushi Otani Kibi International University
2. Introduction In this presentation, I will discuss three big
data challenging applications that are thought to have promising
large social benefits but might bring large risks on the same
time.
3. Introduction The applications are (1) traffic data
acquisition and analysis for more efficient and safe driving of
vehicles on public roads, (2) traffic simulations for evacuation
assistance in the event of a mega-earthquake, and (3) real-time
physiological information acquisition and analysis for health
care.
4. Introduction These technologies are expected to bring many
social benefits, including economic opportunities, reduction of
environmental burden, health promotion, and saving lives in
disasters. On the other hand, these technologies might invade
people's privacy on a large scale and produce a serious imbalance
between big organizations, such as governments and large companies,
and individuals by collecting and analyzing individuals sensitive
personal data.
5. Introduction Unfortunately, we have no easy remedies for
these concerns. However, I believe we can build a good juridical
and technological framework that will allow us to take advantage of
the benefits of big data and minimize its disadvantages. We have to
have a firm grasp on these technologies and analyze them carefully
in the future to balance their advantages and disadvantages.
6. Efficient and Safe traffic by big data application Honda
Internavi Concept Framework from Honda Homepage
7. Efficient and Safe traffic by big data application Data and
Information Flow Model Diagram of Honda Internavi From JSAE
homepage
8. Visualization of CO2 Emission from traffic by Big Data
Application Honda Internavi The visualization of CO2 Emission from
the traffic in Japan
https://www.youtube.com/watch?v=L2pttzjunpw
9. Honda Internavi The visualization of CO2 Emission from the
traffic in Japan
10. Honda Internavi FCD supports mobility in disaster-struck
areas Honda Internavi floating car (probe) data supports mobility
in disaster-struck areas
https://www.youtube.com/watch?v=IoIDSWBMao4
11. Honda Internavi FCD supports mobility in disaster-struck
areas
12. The Visualization of the transition of the traffic in east
Japan from the mega-earthquake Connecting Lifelins
13. The Visualization of the transition of the traffic in east
Japan from the mega-earthquake
14. Mega-earthquake big data projet by Japanese compnies From
NHK homepage
15. Real-time Acquiring Physiological Data From persons bodies
Accelerometer in iPhone from an article of Engadget
16. Examples of Bracelet Type of Gadget Tracking and Recording
Human Activities Nike+ FuelBand Se Epson Pulsense Jawbone UP 2
17. An Image of Wearable Health Care Gadget in the Future NTT
Data Healthcare in the Future (a Commercial Video)
https://www.youtube.com/watch?v=AoP8PbGX5g0
18. NTT Data Healthcare in the Future (a Commercial Video)
19. Big Data Concerns Big Data Applications tend to utilize
sensitive personal data such as tracking a persons movements and
activities, which may reveal some private facts and health-related
data, including telling the person about a serious disease.
20. the Act of the Protection of Personal Information in Japan
The 2003 Act does not protect the tracking data of vehicles or a
persons personal information. It doesnt regard personal data
without the identifiers of the data subjects as personal
information which it regulates. Information scientists have found
that we cannot completely anonymize personal data, so we will
always have some risk of privacy invasion when utilizing personal
data, even after modifications to anonymize it.
21. tradeoff between privacy protection and detailed data
analysis The statistical data gathered from a combination of
personal data is at low risk of invading the privacy of the data
subjects, since the statistically processed data cannot generally
reveal details of the situation at any significant level of
granularity. Thus, we have a tradeoff between privacy protection
and detailed data analysis.
22. Regulation of Health Care Data from the wearable devices if
the health care data, which are recorded constantly and in heavy
time density, were analyzed properly, they might reveal a medical
situation of the data subject in detail. So, detailed health care
data from wearable devices should be protected for confidentiality
in the future. Now, I heard that some ISO processes are making
progress toward implementing standards for the protection of health
care data. We need to regard such data as sensitive and properly
protect it through technology and the legal system.
23. The Challenge for the Big Data Application in the Future
Efforts to establish effective measures to protect our privacy and
reduce the risks are under way. I believe we can build a good
juridical and technological framework that will allow us to take
advantage of the benefits of big data and minimize its
disadvantages. We must have a firm grasp on these technologies and
analyze them carefully to balance their advantages and
disadvantages in the future.