UROP Proceeding 2023-24

School of Humanities and Social Science Division of Social Science 200 Understanding Bargaining Behavior During Civil War Supervisor: PARK Sunhee / SOSC Student: TSE Chun Lok Andrew / ACCT Course: UROP 1100, Summer In examining civil war termination bargaining, this paper aims to strengthen the argument that negotiators’ status—either leaders or delegates from government or rebel groups—leads to different bargaining strategies, specifically in the offers proposed and accepted. Drawing from multiple academic experiments on negotiation behaviors and dynamics between leader and delegate negotiation dyads, this study explores how their roles influence decision making and strategies. A pattern emerges showing that leaders often make generous offers in negotiations compared to delegates and may leave generous offers from opponents unaccepted. These differences come from their status, accountability, and being watched by others, showing key negotiation factors. Putting Neuroscience in the Classroom Supervisor: SIU Yat Fan / SOSC Co-supervisor: YIK Michelle / SOSC Student: LUK Pui Lam / DA Course: UROP 1000, Summer This article examines the potential for advancing the clinical diagnosis of autism spectrum disorder (ASD) through AI-powered neurodiagnostic methods. Techniques such as MRI, EEG, and eye-tracking provide objective neurophysiological data during clinical evaluations, offering insights into the neural correlates of ASD. By harnessing machine learning and deep learning to analyze these neurophysiological and behavioral markers collected during the diagnostic process, AI-based analytics show promise in enhancing the reliability and precision of ASD diagnosis. However, there are still gaps between the clinical application and experimental findings, particularly regarding data diversity, integration methods, and model interpretability for clinicians. This article discusses multidisciplinary collaboration to address these limitations, potential pros and cons, as well as the future direction for AI-powered neurodiagnostic approaches.

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