Summary of Research Activities: Over the past year, I have led a project investigating decision-making processes, culminating in a submission accepted for a talk at the prestigious SJDM Conference—an honor rarely achieved by undergraduate students. Under a UROP project, I initiated and developed this research into a series of five studies, independently designing study protocols, writing advanced JavaScript to create interactive participant experiences, conducting statistical analyses, and preparing the conference submission. This project has been a transformative learning experience, enabling me to navigate the research process from ideation to execution with a level of autonomy akin to advanced PhD work. While continuing to refine this research, I have broadened my experience through another project and an exchange semester at Carnegie Mellon University. Presenting at SJDM and receiving feedback from leading researchers will be invaluable for preparing the manuscript, which I plan to submit to Management Science or Organization Science. LIAO Yi-tsen Major : ECOF Supervised by : Prof. HAGMANN David / MGMT Conference : Society of Judgment and Decision Making Annual Meeting 2024 Venue : New York, USA Duration : Nov 22–25, 2024 Summary of Research Activities: From October 2024 to February 2025, I conducted an independent research project under the guidance of Prof. Yangqiu SONG. Throughout the process, I gained a deeper appreciation for the nature of scientific inquiry, not just as a means of solving problems, but as a way of thinking. This experience taught me to embrace ambiguity, remain intellectually honest, and continuously refine my understanding through iteration and feedback. I learned that good research is not only about results, but also about asking the right questions and maintaining the courage to challenge assumptions. I am deeply grateful for the mentorship and support I received, which helped me grow not only as a junior researcher but also as a thinker. LIU Jiayu Major : COMP Supervised by : Prof. SONG Yangqiu / CSE Conference : The 63rd Annual Meeting of the Association for Computational Linguistics Venue : Vienna, Austria Duration : July 27 to 1 August, 2025 Summary of Research Activities: Participating in the UROP mini-conference and the SJDM conference through the UROP Research Travel Grant highlighted the interdisciplinary nature of research. Drawing insights from psychology, environmental policy, and behavioural economics allowed me to develop a more holistic understanding of how cognitive biases and social comparisons shape policy perceptions. The conference also underscored the interconnectedness of academic domains, as researchers from different fields shared overlapping themes, particularly regarding public perceptions of ESG policies. It was fascinating to observe how these perceptions often diverge significantly from the actual implications of such policies, offering a rich area for further exploration. In particular, I will always remember all the counter intuitive patterns I notice when going through the data – people believing that planting trees is more effective than it actually is – this shows sometimes how delicate the human mind is, and how important the researchers and the participants are on the same page. SUNG Wen-chien Major : GBUS Supervised by : Prof. HAGMANN David / MGMT Conference : Society of Judgement and Decision Making Annual Meeting 2024 Venue : New York, USA Duration : Nov 22–25, 2024 Summary of Research Activities: I had the privilege of attending the IEEE International Conference on Data Mining (ICDM) 2024, held in Abu Dhabi, UAE, from December 9–12. As my first academic conference, it was an exhilarating experience. The event began with an inspiring opening ceremony, followed by a keynote on Large Language Models (LLMs) on December 10. That afternoon, my co-author and I presented our accepted paper in a parallel session, delivering a 20-minute presentation followed by a brief Q&A. During the rest of the time of the conference, I attended numerous presentations and communicated with the authors of the accepted papers, gaining valuable insights and ideas relevant to my current research. Interacting with leading researchers in the field during the conference was both enlightening and motivating. I am deeply grateful to my supervisor and the UROP office for their unwavering support, which made this incredible experience possible. TAN Weile Major : DSCT Supervised by : Prof. WONG Raymond Chi Wing / CSE Conference : IEEE International Conference on Data Mining 2024 Venue : Abu Dhabi, UAE Duration : Dec 9–12, 2024 ix x
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