1. 1. Challenges for the Big Data Applications in Japan: Hopes and Concerns Takushi Otani Kibi International University
2. 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. 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. 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. 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. 6. Efficient and Safe traffic by big data application Honda Internavi Concept Framework from Honda Homepage
7. 7. Efficient and Safe traffic by big data application Data and Information Flow Model Diagram of Honda Internavi From JSAE homepage
8. 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. 9. Honda Internavi The visualization of CO2 Emission from the traffic in Japan
10. 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. 11. Honda Internavi FCD supports mobility in disaster-struck areas
12. 12. The Visualization of the transition of the traffic in east Japan from the mega-earthquake Connecting Lifelins
13. 13. The Visualization of the transition of the traffic in east Japan from the mega-earthquake
14. 14. Mega-earthquake big data projet by Japanese compnies From NHK homepage
15. 15. Real-time Acquiring Physiological Data From persons bodies Accelerometer in iPhone from an article of Engadget
16. 16. Examples of Bracelet Type of Gadget Tracking and Recording Human Activities Nike+ FuelBand Se Epson Pulsense Jawbone UP 2
17. 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. 18. NTT Data Healthcare in the Future (a Commercial Video)
19. 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. 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. 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. 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. 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.