智齡聯盟(第二期)
  • 首頁
  • 認識智齡
    • 聯盟目標
    • 聯盟組織
    • 聯盟成員( 第二期 2015-至今)
    • 聯盟成員 (第一期2011-2014)
    • 課程發展
    • 教學評量
    • 教育部期中訪視
    • 聯絡我們
  • 課程模組
  • T型人才工作坊
    • T型工作坊源起
    • 目標與教學模式
    • 工作坊課程設計
    • 教學案例精彩回顧
    • T型工作坊教師訓練課程
  • 智齡設計
    • 智齡設計2018-2019
    • 智齡設計2017-2018
    • 智齡設計2016-2017
    • 智齡設計2015-2016
  • 教學培力
    • 教學工作坊
    • 新知講堂
    • 助教培訓
    • 跨校交流
  • 產業接軌
    • 創業學堂
    • 場域經營
    • 拜訪交流
    • 媒體報導
    • 國際交流
  • 教學素材
    • 課程模組教材
    • 特色課程教材
    • 智齡特色課程
    • 活動相簿
    • 活動影片 >
      • T型人才
      • 跨校交流
      • 特色課程
      • 其它活動
      • 智齡設計影片
<創新工作坊  Creative Workshop>

資料運用的創新市場 -- 活化資料創造價值
Innovators Marketplace on Data Jackets -- Toward Value Creation with Activating Sharp Data


图片
Introduction
We organize a workshop to discuss how we can create and harvest knowledge for improving environments for living, based on data. We basically follow Innovators Marketplace (R), a process composed of Innovators Market Game and its pre- and post-processes, where creative crossover of ideas will eventually seed academia and industries with practical solutions for essential problems. Students from various domains are expected to bring digest information about datasets they are interested in, in the form of Data Jackets. Via the process of Innovators Marketplace on Data Jackets, self-acquire skills for thinking and communicating toward innovation. Proposals to be obtained here will be, results of analysis and synthesis of knowledge and data from multiple viewpoints, via the process to externalize and integrate intelligences born and bred in different cultures. The discussion about how to foster innovation and harvest knowledge in the global market, with active learning here, will reinforce the creativity of highly gifted participants.  More: http://www.panda.sys.t.u-tokyo.ac.jp/index_en.html


Agenda
图片

Information
Time     : June 28 & 30, 2014
Location: iNSIGHT OPEN LAB  (1F,  Sihyuan Bilding,  No.18, Sihyuan St.,  Zhongzheng Dist., Taipei City 100,  Taiwan (R.O.C.)  )
Contact : Shiang-Ru Ye / 02-33663366 ext 55336 / shiangruye@ntu.edu.tw

[The Request]
Provide your data Jackets(write in English) after registration
https://docs.google.com/forms/d/1GQ-YwAIYoeus7Q_woRCD3mKoMIwAJD2zaXAXYwU6Qag/viewform
Recommendation
Join facebook group: https://www.facebook.com/groups/402190563258072/

*All-English teaching

Host
图片
Yukio Ohsawa is a professor of Systems Innovation in the School of Engineering, The University of Tokyo. He received BE, ME, and Ph.D in Engineering from The University of Tokyo, worked for the School of Engineering Science in Osaka University (research associate, 1995-1999), Graduate School of Business Sciences in University of Tsukuba (associate professor, 1999-2005), Japan Science and Technology Corporation (JST researcher, 2000-2003) etc. He initiated the research area of Chance Discovery, and relevant series of international conference sessions and workshops. He edited books on chance discovery "Chance Discovery" (2003), "Chance Discoveries in Real World Decision Making" (2005) etc, and recently wrote "Innovators Marketplace: I Using Games to Activate and Train Innovators (Understanding Innovation" (2012). Also he edited special issues in international and domestic journals. He was in the program committee of IJCAI, editorial board of a number of interdisciplinary journals, and has been the TC chair of IEEE-SMC technical committee of Information Systems for Design & Marketing since 2005. His recent workshop MoDAT2013 (MoDAT: Designing the Market of Data - for Synthesizing Data in Sciences and Businesses), reported as the best of 19 workshops in the International Conference on Data Mining in 2013, is planned in 2014 also.


[Summary of DJ and IMDJ]
http://www.panda.sys.t.u-tokyo.ac.jp/MoDAT/DJform.html ] Intuitively, Data Jacket (DJ) is like a jacket of CD or DVD, designed to offer the digest of the content and to appeal to latent users. The owner (potential provider) writes the DJ for the corresponding dataset (or a tool of data mining regarded as a kind of data), so that any interested user can purchase or negotiate conditions for sharing the full data.DJ does not have to contain the data content but only the digest. The owner of data is allowed to keep the full contents hidden and secured, or to show out quite a small piece of information one likes to publicize, e.g., as the abstract, some variables/attributes, and expected benefits of analysis. Correlations among collected DJs will be visualized as a game board of IMDJ, where you will create use-scenarios of datasets via discussing the latent value of (combinations of) datasets. Thus, participation in this activity would offer you a route toward successful life in the world of Big Data.


图片
Deadline: May 9, 2014
Powered by Create your own unique website with customizable templates.