I have been continuously conducting research focusing on the factors that might hinder the resolution of regional issues from the perspective of international cooperation both qualitatively and quantitatively.
I am currently engaged in the collaborative research with several universities in Indonesia, e.g. Universitas Syiah Kuala.
One of the aims of the current research is to clarify the intermediate function of local academic institutions interlinking local residents with external actors, e.g. international donors.
In this context, I adopt some quantitative methods such as text mining analysis and structural equation modeling (SEM) to reveal the basic structure underlying the reconstruction scheme after a disaster occurs.
Sasaki, D., Moriyama, K., & Ono, Y. (2020). Main features of the existing literature concerning disaster statistics. International Journal of Disaster Risk Reduction, 43, 101382. doi: 10.1016/j.ijdrr.2019.101382
Sasaki, D., Taafaki, I., Uakeia, T., Seru, J., McKay, Y., & Lajar, H. (2019). Influence of Religion, Culture and Education on Perception of Climate Change and its Implications: Applying Structural Equation Modeling (SEM). Journal of Disaster Research, 14(9), 1303–1308. doi: 10.20965/jdr.2019.p1303
Sasaki, D. (2019). Analysis of the Attitude Within Asia-Pacific Countries Towards Disaster Risk Reduction: Text Mining of the Official Statements of 2018 Asian Ministerial Conference on Disaster Risk Reduction. Journal of Disaster Research, 14(8), 1024–1029. doi: 10.20965/jdr.2019.p1024
Sasaki, D., Moriyama, K., & Ono, Y. (2018). Hidden Common Factors in Disaster Loss Statistics: A Case Study Analyzing the Data of Nepal. Journal of Disaster Research, 13(6), 1032-1038. doi: 10.20965/jdr.2018.p1032
Sasaki, D., & Nakayama, M. (2015). A study on the risk management of the CASA-1000 project. Hydrological Research Letters, 9(4), 90-96. doi: 10.3178/hrl.9.90