This lab was established to train students’ ability in FinTech and for faculty’s engagement with enterprises through industry-academia projects. The lab provides students with training in financial technologies, such as Thomson Reuters, XQ global winner, R Studio, and TEJ Smart Wizard. Students are trained in visual graphics creation, data screening and processing, data import and export, basic analysis/prediction models for further study of artificial intelligence and machine learning. Through industry-academia projects, faculty members work with enterprises on the topics related to investor psychological factor, AI financial management robot, and long-term care insurance. Faculty even work with industries to develop relevant financial information systems.

The lab was established to provide more data analysis resources for quality teaching and excellent research. With regard to quality teaching, by 2021, the lab developed ten data analysis cases for faculty and students as practice for earning insurance certificates. With regard to excellent research, the faculty in the InsurTech Lab have already published papers in four PRJs and two conferences, advised three students for masters’ theses, and were awarded four competitive grants related to big data and artificial intelligence from industry for a total of USD$88,408. Faculty and students work together to provide policy checking and counseling services for the community.

The Finance Research Center, operated by SOM faculty, provides consulting services to local firms and organizations, and fosters synergy between academic resources and business practices. By offering high quality services, the Center has been engaged by regional clients for consulting. Through successful projects, the Center helps to promote the brand name of SOM while providing an important link between the SOM and the community.