Taiwan is a highly disaster-prone country and how to mitigate disaster risk is an essential issue catching attention from both government and the general public. However, due to extreme weather events and potential large-scale earthquakes, exposure of risk to land and population increases and becomes more diverse than ever. In last two decades, Ministry of Science and Technology has been investing resources on fundamental science researches related to natural hazards and disaster management that helps to establish the base developing disaster risk reduction and emergency preparedness in Taiwan. Nowadays, modern technology speeds up development of telecommunications and shorten time to transfer data and deliver messages. At information age, big data and open data not just facilitate trades and business, but also benefit disaster management. After the 2011 Tohoku Earthquake and Tsunami in Japan, the analysis of big data provides an in-depth view about how people reacted to shakings and warnings. Before, during and after disasters, data and information are two key elements to keep citizens and government prepared for it and also help emergency responders through providing situation awareness. By applying big data as open data, it will enhance societal preparedness and resilience. Since 2013, Taiwan has introduced the Common Alerting Protocol (CAP) to standardize disaster information for dissemination though multiple channel. Google Crisis Map is one of the platforms to build up the late mile to people living in Taiwan. Later in 2014, the fourth-generation telecommunications will officially provide service to the public that requires innovative approaches assisting in raising public awareness and enhancing information coverage during emergency. Workshop 1 focuses on what kinds of big data sets are possibly applied; how to use big data to create in-depth views for better policy on disaster management; and why user-oriented applications of big dada could enhance information coverage among the general public. In order to integrate big data for application, strategies are required to get all stakeholders involved. For examples, standardized data formats and information exchange mechanism, these are two fundamental elements to succeed multilateral collaboration. Other than government, private sector also produces informative big data and offers a dense network to disseminate in-time information. Furthermore, to display big data analysis by using Web-GIS system that is very helpful for decision making. The course content is scheduled for three days, including three keynotes.