AAAI 2014 - AAAI 2014 Spring Symposia

Big data becomes personal: knowledge into meaning
--For better health, wellness and well-being--
AAAI 2014 Spring Symposia (March 24-26, 2014)
●　Description of symposium: Aim
One of the most significant shifts in our contemporary world is the trend toward obtaining and analyzing ‘big data’ in nearly every venue of life. For better health, wellness, and well-being, it is very significant to acquire personal meaningful information from big data. However, the following outstanding challenges should be tackled to make big data become personal: (1) how to quantify our health, wellness, and well-being for generating useful big data that will become meaningful knowledge; (2) how to turn the large volumes of impersonal quantitative data into qualitative information that can impact the quality of life of the individual; and (3) how the quantitative data and qualitative information contribute to improving our health, wellness, and well-being. This symposium seeks to explore the methods and/or methodologies for the above three questions. We show this concept on discovery informatics for health, wellness and well-being in Figure 1.
To explore such technologies of how big data is being made personally usable and meaningful, our proposed symposium tackles the following new and/or important challenges. This symposium will bring together an interdisciplinary group of researchers to discuss possible solutions for our wellness by focusing on AI techniques.
1. How to quantify our health, wellness, and well-being
Some of the issues related to the above question include the self-tracking technology and quantified-self approach. For the recent self-tracking technologies, the monitoring personal health conditions such as sleep or daily living give us new possibilities for creating new values in our future personal wellness. For the quantified-self approach, an acquisition of the weight or calorie as the result of diet or excise contributes to improving personal wellness from big data.
2. How to turn the large volumes of quantitative data into qualitative information on our health, wellness, and well-being
One of the issues related to the above question is to understand ourselves (e.g., the percentage of being cancer or the personal characteristics such as conservatism) by comparing the personal medical data, personal genome, or personal brain data with other person’s data. For this issue, cognitive and physiological modeling of human is useful. Recent scientific advances from brain science, genetics, and psychologies would give us new personal findings.
3. How the quantitative data and qualitative information improve our health, wellness, and well-being
Not only collecting self-tracking data and turning them into meaningful information, it is very important to clarify how such data or information contribute to improving our health, wellness, and well-being. One of the examples includes a behavior change caused by big data, i.e., a behavior change when big data becomes more personal. As another example, recent social media networks such as Facebook which potentially enhance our personal values provide us big data (e.g., sharing pictures) that contributes to increasing our happiness and well-being senses.
4. Applications, platforms and Field Studies
Finally, several wellness service applications and field study are welcome to emphasize the area of our interests. Effective personal wellness applications are significant challenges in terms of personalization,　biomedical data mining,　and accessibility.
● Scope of Interests
The following topics are scope of our interests, but not limited to;
1. How to quantify our health, wellness, and well-being
sleep monitoring, diet monitoring, vital data, diabetes monitoring, running/sport calorie monitoring, personal genome, personal medicine, new type of self-tracking device, portable mobile tools, Health data Collection, Quantified Self tools, experiments
2. How to turn the large volumes of quantitative data into qualitative information on our health, wellness, and well-being
Discovery informatics technologies; data mining and knowledge modeling for wellness, collective intelligence/ knowledge, life log analysis (e.g., vital data analyses, Twitter?based analysis), data visualization, human computation, etc. ), biomedical informatics, personal medicine.
Cognitive and Biomedical Modeling; brain science, brain interface, physiological modeling, biomedical informatics, systems biology, network analysis, mathematical modeling, Disease Dynamics, Personal genome, Gene networks, genetics and lifestyle with Microbiome, health/disease risk.
3. How the quantitative data and qualitative information improve our health, wellness, and well-being
Social data analyses and social relation design, mood analyses, human computer interaction, health care communication system, natural language dialog system, Personal behavior discovery, Kansei, Zone and Creativity ,compassion, calming technology, Kansei engineering, Gamification.
4. Applications, platforms and field studies
medical recommendation system, care support system for aged person, web service for personal wellness, games for health and happiness, life log applications, disease improvement experiment (e.g., metabolic syndrome, diabetes), sleep improvement experiment, Healthcare /Disable support system, community computing platform
● Format of symposium
The symposium is organized by the invited talks, presentations, and posters and interactive demos.
● Submission requirements
Interested participants should submit either full papers (8 pages maximum) or extended abstracts (2 pages maximum). Extend abstracts should state your presentation types (long paper (6-8 pages), short paper (1-2 pages), demonstration, or poster presentation) The electronic version of your paper should be send to aaai2014-bdp-AT-cas.hc.uec.ac.jp by October 4th 2013.
● Contact
Takashi Kido　(Ph.D, Computer Science)
RIKEN GENESIS. CO., LTD.
Toppan Buioding Higashikan 3F
Taito-Ku, Taito, 1-5-1, Tokyo, 110-8560, Japan
TEL: +81-3-3839-8043
FAX: +81-3-3835-7154
E-mail: kido.takashi-AT-gmail.com
●　Symposium Organizing Committee: Co-chairs
　 Takashi Kido
　　　　RIKEN GENESIS. CO., LTD. (Japan)
　　　　E-mail: kido.takashi-AT-gmail.com
　Keiki Takadama
　　　　The University of Electro-Communications (Japan)
　　　　E-mail: keiki-AT-inf.uec.ac.jp
● Important Dates
Submission Deadline
October 4th 2013
Author Notification
November 8th 2013
Camera-ready Papers
January 15th 2014
Registration deadline
February 28th 2014
Symposium
March 24th-26th 2014