School of Humanities and Social Science Division of Social Science 223 Division of Social Science AI for Social Innovation Supervisor: GIETEL-BASTEN Stuart Arthur / SOSC Student: CHAN Wan Ting / ECOF LI Wanshan / FINA NG Lok Lam / SENG TSANG Chin Yung Virginia / IPO Course: UROP1000, Summer UROP1000, Summer UROP1000, Summer UROP1000, Summer In this report, we include 4 case studies of social innovation products (Safecity, Calliso, Spot, AllVoices) which are AI-incorporated to tackle the problem of sexual harassment. We first introduce AI and social innovation and highlight the issue of sexual harassment. Then, we evaluate each product from different aspects, such as privacy protection, user-friendliness and accessibility, with the goal of providing useful insights for us to build a chatbot in fighting sexual harassment on campus. Generations and Gender Survey Work Supervisor: GIETEL-BASTEN Stuart Arthur / SOSC Student: LAI Man Ting / RMBI NG Kai Yuen Dominic / QSA Course: UROP1100, Fall UROP1100, Fall The GGS is an international survey instrument and is part of the Generations and Gender Programme coordinated by the Netherlands Interdisciplinary Demographic Institute (NIDI). It collects information on inter-generational relations, gender roles and work culture. As a UG student, our duties were mainly focusing on tasks related to the pilot study such as translation, localization and works related to the beta testing. Not only does GGS allow us to acquire knowledge about social topics, but it also strengthens our critical thinking, problem-solving and communication skills. We have also cultivated to be more patient and detailed-minded. We have become more focused on the organization and coherence of questions and the structure of the survey.
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