EU-Japan Workshop on Big Data for Sustainability and Tourism



Hamburg University campus, Von-Melle-Park 8, Room 106 D-20146 Hamburg, Germany

Organized By

Graduate School of Informatics, Kyoto University

Type of institution


Other type of institution (Speficy):

Education and Research Organization



Specific site/destination



Inclusive and sustainable economic growth, Social inclusiveness, employment and poverty reduction

Lines of actions

Knowledge creation and dissemination

Type of activity

Capacity building, workshops, training courses and curricula development

Estimated outreach/impact of your activity

About 25 participants including government bodies and project managers funded by government funding agencies

Target group

Governmental bodies, Academia

The advent of Big Data in computing is about to restructure almost every aspect of today’s society. By collecting and evaluating huge amounts of data, social systems like tourism and logistics can be optimized to a yet-unknown potential. At the same time, the number of tourists globally, and especially in Japan, is on the rise. Hence, there is a need for immediate response to that extended demand for accommodations, travel options, information, and logistics. Here, Big Data promises to provide optimized analytics capabilities, supporting decision makers on how to cope best with the upcoming flood of passengers, guests, travelers and visitors. The aim of this workshop is to bring together the key stakeholders in this transformation, ranging from tourism and logistics industries over science and academia to government agencies and institutions. It intends to foster the dialogue among these stakeholders, identify new strategies for future developments, and analyze the power of big data in this timely application domain. The topics of interest for this workshop include Big Data in Tourism, Big Data for Sustainability, Statistics in Tourism and Logistics, Big Data Analytics Techniques for Travel and Transport, Flights, Hotels, Visa: Dealing with Global Information Systems, and Utilizing Data for Optimization of Processes.

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