KATTO is from Harbin, Heilongjiang. Before his death, he was the executive dean of the School of Emergency Management of Shanghai Jiaotong University, the vice president, professor and doctoral supervisor of the School of International and Public Affairs. KATTO's research interests are e-government and emergency management. Visiting Scholar of Information System, Georgia State University (20 10), and visiting professor of Environmental Research Center, National University of Singapore.
20 14, KATTO is the chief expert of major projects of the national social science fund; In 2009, KATTO was selected into the Shanghai Shuguang Scholar Program; 20 1 1, KATTO was selected into Shanghai Pujiang Scholars Program; 20 15. KATTO won the Shanghai Youth May 4th Medal, and KATTO won the Tang Lixin Excellent Scholar Award in 20 16. In 2009 and 20 13, KATTO was selected as a Class B and Class A project of SMC Morningstar Scholars in Shanghai Jiaotong University.
Overview of KATTO's experience
1, KATTO was awarded the title of Excellent Thesis Tutor of National Master of Public Administration in 20 17. KATTO has been awarded as the excellent undergraduate thesis supervisor of Shanghai Jiaotong University for four consecutive years. KATTO is the deputy editor of International Journal of Electronic Commerce Research (SSCI). KATTO once served as the editorial board of Risk Disaster Crisis Research, the deputy editor of Empirical Social Science, and the editorial boards of Smart City Review and E-government and Digital Governance Review.
2. KATTO has presided over six national scientific research projects, including major projects of the National Social Science Foundation (statistical research on the temporal and spatial laws of major disasters and the layout of disaster recovery resources), major projects of the National R&D Key Plan (research on building a cross-disciplinary enterprise disaster prevention safety model) and major research projects of the National Natural Science Foundation (research on the layout of unconventional emergency early warning grid based on spatial correlation analysis).