Introduction

Background:

Frequent disasters have been a serious threat to human life and social development. Disaster prevention, disaster reduction and disaster relief are eternal subjects for human survival and development. In light of the global need for disaster prevention and mitigation and driven by UNESCO’s mission to reduce disaster risk, International Knowledge Centre for Engineering Sciences and Technology under the Auspices of UNESCO (IKCEST) would host the Second International Workshop for Disaster Risk Reduction Knowledge Service, inviting domestic and international experts in disaster risk reduction related fields, to discuss the issues about but not limited to metadata standard and best practice, AI and Big data application, regional and national experiments for DRR.

Co-Host:

International Knowledge Centre for Engineering Sciences and Technology under the Auspices of UNESCO (IKCEST)

Section on Earth Sciences and Geo-Hazards Risk Reduction, United Nations Educational, Scientific and Cultural Organization (UNESCO)

Organizer:

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

Language:

English

The Contents:

• Disaster metadata standards
• Application and best practices of DRR
• Application of AI and Big data in DRR
• Share cases of Disaster Risk Reduction

Workshop venue:

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, China.

Address: A11, Datun Road, Chaoyang District, Beijing, China

Responsible persons of the workshop:

Prof. Juanle Wang. Vice director of Department for Geo-data Science and Sharing, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, E-mail: wangjl@igsnrr.ac.cn, Tel: +86-10-64888016

Dr. Chang Liu (Cathy). Director of Division of International Cooperation, International Knowledge Centre for Engineering Sciences and Technology under the Auspices of UNESCO (IKCEST), E-mail: liuchang@cae.cn, Tel:+86-10-59300230

Contacts of the workshop:

Ms. Yuan Yuelei. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, E-mail: yuanyl@lreis.ac.cn