Get in Touch
kc-boris.ng@polyu.edu.hkCIDS Research Group
Computational Intelligence for Decisions and Society
Pioneering the next wave of Information Systems. Developing advanced machine learning to support decision-making in business and society. Translating technical advances into actionable evidence for managers, regulators, and the public.
Recent
Activities
Director
Boris NG
Assistant Professor
The Hong Kong Polytechnic University
“We develop responsible, interpretable AI methodologies, translating complex data into real-world insights.”
The Team
Brilliant researchers pushing the boundaries of AI in business and society.
Learn More
Lionel Z. WANG
PhD Student
Focusing on applying design science and computational social science to develop technical solutions for AI safety, security, and regulation.
Learn More
Yuhang WANG
PhD Student
Focusing on management information systems, specifically investigating risk management and user dynamics within social media platforms.
Learn More
Wentao LIN
PhD Student
Focusing on economic information systems, leveraging AI and machine learning to analyze complex behaviors across business and society.
Research Streams
These two research streams converge at the intersection of AI, business, and social science, offering a comprehensive framework for addressing contemporary challenges in Information Systems.
AI for FinTech
In AI for FinTech, our research investigates how advanced machine learning is reshaping financial services by enhancing data collection, analysis, and decision-making. Advances in deep learning, NLP, and LLMs enable efficient, real-time processing that fuels new FinTech products, while simultaneously expanding the attack surface for cyber threats. We study emerging risks—such as AI-generated fake news and misleading financial content that distort investor beliefs—and develop approaches to strengthen cybersecurity awareness and proactive defenses. In parallel, we build LLM-based fraud detection systems and conduct multimodal analytics on unstructured data (e.g., corporate disclosures and executive interviews) to produce actionable insights for investors and regulators.
Related Publications
Loading publications...
Computational Social Science
In Computational Social Science, our research combines advanced NLP, network analysis, and machine learning to study critical societal issues using social media and other online data. We examine high-stakes phenomena such as fake news diffusion, deepfake detection, substance-use risk signals, and digital behavioral influence. This enables the systematic analysis of large-scale data to better understand human behavior and social dynamics in the digital age. We also investigate how AI-mediated interactions can be strategically manipulated and how such risks can be mitigated. Methodologically, we develop AI-based tools and models that advance the measurement of complex social phenomena and inter-organizational relationships, contributing both theoretical insights and practical solutions to pressing societal challenges.
Related Publications
Loading publications...
Open Science & Repositories
We are committed to advancing reproducibility and methodological innovation. Explore the open-source codebases, datasets, and interactive AI tools developed alongside our published research.
Join the CIDS Research Group
We are seeking motivated individuals with strong passion and relevant backgrounds to join our team and advance research in AI for FinTech and Computational Social Science.
Email: kc-boris.ng@polyu.edu.hk