Skip to content

LearnCIOT/LearnCIOT.github.io

Repository files navigation

Learning Civil IoT Taiwan: Open Data and its Appications

CIoT_DataDoc_CI

Website: https://learnciot.github.io/

Learning Civil IoT Taiwan

The "Civil IoT Taiwan" project is developed to address the four urgent needs of the public to integrate and close to the public services related to people's livelihood, including air quality, earthquake, water resources, disaster prevention, and other issues. The project is part of the "Forward-looking Infrastructure Development Program" project in the "Digital Technology" section. It is a large-scale inter-ministerial government project involving the Ministry of Science and Technology, the Ministry of Communications, the Ministry of Economic Affairs, the Ministry of the Interior, the Environmental Protection Agency, the Academia Sinica, and the Council of Agriculture. Moreover, it applies big data, artificial intelligence, and Internet of things technologies to build various intelligent life service systems to help the government and the public face the challenges brought about by environmental changes. At the same time, it also considers the experience of different end-users, including government decision-making units, academia, industry, and the general public. The goal is to enhance intelligent governance, assist the development of industry/academia, and improve people's happiness.

To maintain the excellent basis for the development of the Civil IoT Taiwan project and its data platform and to continue to take root and cultivate more diverse user groups to step into the various application areas of the Civil IoT Taiwan project, there are three goals of this project: 1) Rooted downward, providing step-by-step self-study learning materials for college and high school students, and conducting cross-domain learning across the fields of information, geography, earth science, and humanities and society; 2) Demonstration application, aiming at the existing applications of Civil IoT Taiwan, in the way of stripping the cocoon, lowering the entry threshold and guiding more profound innovation of production system; 3) Horizontal expansion, providing additional data access methods, using the popular Python language, redeveloping the data access suite, drawing on more diverse technical energy, and enriching the user group of the data platform.

This website provides data application descriptions and examples based on various open data from Civil IoT Taiwan. Please refer to the original website description for the authorization requirements of different available data used on this website. For the Python language packages and software packages used in the program examples provided on this website, please refer to the relevant webpage instructions of each package and software for authorization. The content of articles offered on this site is licensed under CC-BY (https://creativecommons.org/licenses/by/3.0/).

The project is organized by STPI, NARLabs and developed by Dr. Ling-Jyh Chen's team at the Institute of Information Science, Academia Sinica.