「開放式創新」之核心概念就是突破組織以往封閉的疆界，從外界引進更多、更豐富的創新元素與能量；同時將組織內閒置的創意與創新分享出去，促進創新的流動與分享。從開放式創新的觀點來說，近年來公部門推動的「開放政府」（Open Government）、「開放資料」（Open Data）等作法，透過政府資料開放平台，鼓勵社會公眾利用這些資料進行分析應用，就相當符合開放式創新的概念，也產生了不少創新而深具價值的研究結果，相關做法帶動公務機關突破現有組織運作的框架，產生更為多元創新的思維，解決了很多過去無法解決的問題。
本課程主要希望能夠由大數據、開放政府、開放資料的應用的出發，刺激同學們有創新的觀點，並提供相關的工具與方法，讓學員能靈活運用在工作和生活中，以提升個人與組織的創新思考、問題解決能力與決策能力，並能應用所學於推動創新服務，以提升施政滿意度，並提升全民之福祉。The core concept of "open innovation" is to break through the boundaries of the organization's past, and introduce more and more abundant innovative elements and energy from the outside world; at the same time, share the leisurely creativity and innovation within the organization to promote innovative movement and sharing. From the perspective of open innovation, the "Open Government" and "Open Data" promoted by the public authorities in recent years Data) and other approaches, through the government data opening platform, encourage the public to use these data for analysis and application, are quite in line with the concept of open innovation, and have also produced many innovative and valuable research results. Related practices drive business mechanisms to break through the existing framework of organizational operations, produce more diverse and innovative thinking, and solve many problems that have not been solved in the past.
This course mainly hopes to develop large data, open the government, and open the data application to stimulate students to have innovative views and provide relevant tools and methods to allow students to use them vigorously in their work and life to improve their innovative thinking, problem solving and decision-making capabilities, and to apply what they learned to promote innovative services to improve their governance satisfaction and improve the welfare of the whole people.
本課程將閱讀幾本關於大數據與決策，但較為深入淺出的書籍，如大數據時代、哈佛教你精通大數據、機器平台群眾、邊緣商機等。
另外並以個案與文章的討論，協助同學們理解大數據及其可能的應用。
This course will read several books about large data and decisions, but are more in-depth and pure, such as the Big Data Age, Harvard teaches you to be proficient in large data, machine platform groups, side merchants, etc.
In addition, discussions with articles are conducted on a case-by-case basis to help students understand large data and their possible applications.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 小組期末報告小組期末報告 Group final report |
40 | |
| 平時作業(個人)平時作業(個人) Normal business (personal) |
30 | |
| 出席率出席率 Attendance rate |
10 | |
| 課堂參與及發言課堂參與及發言 Class meetings and speeches |
20 |
