To further promote academic excellence, achieve the goal of cultivating outstanding talents, and establish a research and education atmosphere oriented towards excellence and common progress of academic teams and students, the ECNU Sci-Tech Business Consortium officially launched the Excellent Academic Teacher-Student Joint Funding Program (hereinafter referred to as the "Mentorship" program) on May 16, 2023. The main goal of the program is to guide students to establish a long-term development goal of pursuing excellence, enhance their competitiveness through scientific research, and help them complete master's and doctoral degrees at world-class universities. On June 14, 2023, the "Mentorship system" mentor-student meeting was successfully held. A total of six mentors and 14 students participated in the first round, including 10 undergraduate students (including 2 international students) and 4 postgraduate students. A series of reports on the research progress of each project are now being launched to showcase the joint academic cultivation achievements of them and improve the quality of talent cultivation.
Members of the Program
Main Applicant
Liu Du,
an Assistant Professor at the Shanghai International school of Chief Technology Officer and a Ming Yuan Chen Hui Scholar. She received her PhD in Finance and Econometrics from the University of Warwick, UK. She was a Research Officer at the Technology and Management Centre for Development (TMCD), University of Oxford, and a Bayes Fellow in Finance at Bayes Business School (formerly Cass), City, University of London. Her research interests include corporate finance, law and economics, and innovation. Her research has been presented at the Academic of Management (AOM) conference, the Annual Meeting of the American Finance Association (AFA), the Annual Meeting of the American Economic Association (AEA) and so on.
Joint applicant
Cao Yidan
a student from bachelor’s degree program of Business Administration（2021） at AEBS，class monitor, and have a great interest in generative artificial intelligence, thus joined the project team.
Eiei Ozawa
a 2020 BBA (Bachelor degree program of Business Administration）. undergraduate student from Japan. She has learned professional knowledge and practical skills in multiple fields such as economics, accounting, and innovation management, completed the GCE ALEVEL exam, and established a solid academic foundation.
Fang Yujie
a 2023 HEBM(High-end Brand Management) Postgraduate student, passionate about competitive sports, especially football, basketball, and boxing, also curious about emerging things, especially in the fields of deep learning and artificial intelligence. He is accustomed to taking a break when feeling tired, while also striving to learn new knowledge in his free time.
Main research scope
To ensure team collaboration and efficiency, the “Mentorship system “program adopts a two-way selection approach. Professor Liu and the students had a face-to-face introduction and communication before the program started, and chose each other through resumes and personal statements.
Under the guidance of Professor Liu Du, a cross level research team consisting of junior, and senior undergraduate students, and first-year Postgraduate students is actively conducting machine learning based green innovation research. This program has built an efficient and collaborative mentorship through a two-way selection approach, providing a solid foundation for in-depth research.
The research concentration of the group is to analyze green innovation technologies based on patents and provide suggestions for the company's green innovation management. This field covers finance, management, and green innovation technologies, utilizing technologies such as generative artificial intelligence and big data text analysis to provide unique insights and solutions to address major issues facing today's society.
Important activities carried out
In the early stages of program initiation, the team has held a series of discussions and seminars to determine the general direction, ideas, and plans for the research. This helps promote students to have a deeper understanding of the research direction, share personal insights, and form a collective research approach. The students actively participated in and organized their own seminars, demonstrating a strong teamwork spirit and actively promoting project progress.
1.Program launch ceremony: To officially launch the green innovation management research program, the research group held a launch ceremony. At the ceremony, Professor Liu introduced the background, goals, and expectations of the program for the students, while each team member shared their enthusiasm and expectations for the program
2. Seminar Series: The research team has held multiple seminars in the early stages of the program, aiming to promote team members' comprehensive understanding of the research field of green innovation management. These seminars include literature reviews, research methods, cutting-edge technologies, and more. Through academic exchanges, team members discuss the research concentration and key issues of the program together.
3. Team Discussion Meetings: The research group regularly holds team discussion meetings to conduct in-depth discussions on the ideas, research methods, data analysis, and other issues of the paper, promote interaction and cooperation among team members, and promote deeper development of research concentration.
At present, the program is in the early stages of research, and members are conducting in-depth literature reviews and data collection, committed to comprehensively understanding the cutting-edge research and existing problems in the field of green innovation. On the basis of comprehensive discussion and further exploration, the research group has gradually clarified the research topic and questions. We plan to complete the writing of our first working paper and submit it to the conference in the first quarter of next year.
Group Feedbacks:
Liu Du:
The two-way choice between teachers and students has laid a solid foundation for the program, and the team has formed a harmonious cooperative atmosphere. The students have demonstrated enthusiasm for research and outstanding academic performance, and I believe they will also have confidence in facing various challenges in research. This close mentorship system provides a good platform for the in-depth development of knowledge inheritance and research.
Cao Yidan:
The mentorship system program is an innovative program that can provide us undergraduate students with a good way to enter the world of scientific research. In my college life, my greatest passion is to seek opportunities and try new things. This program provides me with rare opportunities to communicate more with mentors and classmates, do things that interest me, and improve my abilities.
Eiei Ozawa:
During the process of participating in the mentorship program, I deeply experienced the charm of academic research and the importance of teamwork. Firstly, the establishment of a mentorship injects a positive and upward atmosphere into the entire team. Professor Liu's experience and guidance have greatly benefited me and made me deeply feel the joy of academic exploration. Through interaction with my classmates, I not only expanded my subject knowledge, but also developed a sense and ability of teamwork. Each member plays a unique role in the program. In the early stages of in-depth research, we conducted a literature review to jointly understand the cutting-edge research and existing problems in the field of green innovation. When participating in discussions and seminars, I not only shared my own insights, but also gained new insights from other members. During this process, I gradually improved my problem-solving skills and learned more practical skills. The active participation of the team and the experience of spontaneously organizing seminars have made me deeply realize that team collaboration is a powerful engine for driving project progress.
Fang Yujie:
I am fortunate to join Professor Liu's team to conduct research on green innovation based on machine learning. Through the mentorship system, I had in-depth communication with my teachers and obtained clear research directions. Teamwork has allowed me to draw valuable academic experience from classmates of different grades, while discussions and discussions have honed my communication skills. Professor Liu has always provided me with full support and encouragement, which has given me more confidence in my research. This research not only promotes my in-depth understanding of the field of green innovation, but also greatly enhances and breaks through my personal comprehensive abilities.