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.


Figure 1 Image of symposium for “Big data becomes personal”.

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
  2. How to turn the large volumes of quantitative data into qualitative information on our health, wellness, and well-being
  3. How the quantitative data and qualitative information improve our health, wellness, and well-being
  4. Applications, platforms and Field Studies

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.

Invited Talks

We welcome   Prof. Rosalind W. Picard (MIT Media Lab).
We now also welcome   Prof. John Perry (Stanford University).   (new)

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@cas.hc.uec.ac.jp by TBA.

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@gmail.com

Symposium Organizing Committee: Co-chairs

Organizing Committee

  • Co-chairs

       Takashi Kido (Rikengenesis, Japan)
       Keiki Takadama (The University of Electro-Communications, Japan)

  • Artificial intelligence program committee

       Eiji Aramaki (University of Tokyo, Japan)
       Yutaka Matsuo (University of Tokyo, Japan)

  • Biomedical Informatics program committee

       Chirag Patel (Stanford University, U.S.A)
       Rui Chen (Stanford University, U.S.A)

  • Personal wellness and health communication program committee

       Nancy Green (University of North Carolina Greensboro, U.S.A)

  • Quantified Self and Citizen Science program committee

       Melanie Swan (DIYgenomics, U.S.A.)

  • Cognitive modeling program committee

       Ryota Kanai (University of Sussex, UK.)
       Yoni Donner (Stanford, U.S.A)

  • Wellbeing and compassion science program committee

       Yotam Hineberg (Stanford, U.S.A)
       Pamela Day (Stanford, U.S.A)

  • Human Computer Interaction and universal design program committee

       Ikuko Eguchi Yairi (Sophia University, Japan)
       Katarzyna Wac (Stanford University, U.S.A and University of Geneva, Switzerland)

  • Philosophy & Kansei program comittee

       Tomohiro Hoshi (Stanford, U.S.A)
       Yukiko Shiki (Kansai University, Japan)

  • Advisory committee

       Atul J. Butte (Stanford University, U.S.A.)
       Seiji Nishino (Stanford University, U.S.A.)
       Katsunori Shimohara (Doshisha University, Japan)

Important Dates

  • Submission Deadline
    October 30th 2013
  • Author Notification
    November 8th 2013
  • Camera-ready Papers
    January 15th 2014
  • Registration deadline
    February 28th 2014
  • Symposium
    March 24th-26th 2014

Symposium URL

URL: http://mednlp.jp/aaai-ss-2014
The detail information will be available to participants.