SDG 16: Peace Justice and Strong Institutions

"The Political Economy of the European Union", a service-learning course led by Dr Kenneth Chan, encouraged 63 HKBU students to advocate for peaceful, just, and inclusive societies through leveraging online platforms and social media campaigns, benefiting 200 individuals. Partnering with the Hong Kong Association for European Studies and the Diocesan Commission for Integral Human Development, students this year participated in guest lectures given by representatives from Hong Kong Red Cross and the Czech Ambassador-at-Large for Energy Security, and community film screenings that allowed them to gain a nuanced understanding of the complex political landscape in Europe, and the impact of war and conflict on the state of our world today. Through this service-learning course, students became passionate advocates for peace and humanitarianism, fostering global citizenship to address societal challenges regionally and worldwide.

The Road to Diversity Workshop at HKBU aimed to empower ethnic minority students. The Office of Student Affairs emphasised the creation of an inclusive campus environment, ensuring equal access to resources and support for all students. The workshop highlighted opportunities and funding schemes for ethnic minority students, while two NGOs, Inter Cultural Education and The Zubin Foundation, shared information about their services and internship opportunities with 12 student participants. Adnan, a recipient of the HKBU Village CARE Campaign Ethnic Minorities Engagement Grant (EMEG), shared his personal experiences from a summer exchange programme. The International Association, a student organisation, also contributed to a diverse and inclusive community. Through dialogue, awareness-raising, and practical resources, the workshop fostered a more inclusive and equitable campus community.

Organised by the Consulate General of the Czech Republic in Hong Kong, TriAngle of the Centre for Innovative Service-Learning, and the Academy of Visual Arts of HKBU, the "SDGs: Innovations for a Sustainable Future" exhibition at TriAngle, the co-working space of the Centre for Innovative Service-Learning, harnessed the power of augmented reality (AR) technology to immerse visitors in global efforts towards peace, justice, and strong institutional integrity. This immersive experience attracted over 120 visitors and fostered community engagement and championed human rights, offering new insights into the battle against partner violence and the reinforcement of societal structures. Additionally, it tackled the challenge of misinformation and the importance of environmental protection, demonstrating the critical role of human creativity combined with scientific breakthroughs in crafting a just and sustainable world. The display exemplified the fusion of innovative thinking and technological prowess, essential for maintaining equitable institutions.

Department of Accountancy, Economics and Finance
Authors: Zabihollah REZAEE, Gaoguang ZHOU*, Luofan (Luther) BU
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This research delves into the correlation between corporate social irresponsibility (CSIR) and data breaches, exploring stakeholder management dynamics in response to these incidents. Understanding and addressing CSIR's role in data breaches is vital for fostering secure and sustainable business practices. By highlighting the impact of CSIR on data breaches and firms' reactions, the research underscores the importance of corporate responsibility and stakeholder engagement in achieving SDG 16 objectives. Effective stakeholder management and ethical business conduct are crucial for promoting transparency, accountability, and good governance, all essential components of SDG 16. By addressing CSIR issues and enhancing data security measures, companies can contribute to creating a more secure and trustworthy business environment.

Department of Computer Science
Authors: Rui SHAO, Pramuditha PERERA, Pong Chi YUEN*, Vishal M. PATEL
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This paper addresses the privacy issue in face presentation attack detection (a.k.a. face anti-spoofing) without touching the original face data. Most existing face presentation attack detection methods require the original face images for training. In this work, we do not need the original data for training (i.e. following data-stay-local policy) but learned model information. At the same time, the learned model can perform well in unseen data. To achieve this, the team has developed a new federated domain disentanglement strategy to decompose domain-invariant and domain-specific features from face images. This work could facilitate distributed learning of a robust model from different sensitive small datasets.