Science and Technology (Innovation) Policy
Technology and Innovation
The technology innovation cluster studies policies related to science, technology, and innovation. Incentive policies motivate science and technology advancement which improves the living standards and economic performance, while regulatory policies prevent human beings from hazardous effects of science and technology progress, e.g., pollution, data security, and income inequality. Formulating appropriate and effective policies requires interdisciplinary knowledge and collaboration among experts of different professions.
Faculty members of subclusters (in alphabetic order of last names)
Science, Technology, and Innovation Policy: Kira MATUS, Naubahar SHARIF, Xun WU, Yan XU, Masaru YARIME
Sustainability Science: Kira MATUS, Masaru YARIME
Machine Learning and Big Data: Donald How Tian LOW, Kira MATUS, Masaru YARIME, Pengyu ZHU
Regulation of Emerging Technologies: King Lau CHOW, Kira MATUS
Intellectual Property Right: Edwin LAI, Naubahar SHARIF, Xun WU
Information Technology Policy: Yan XU, Masaru YARIME
Policy Innovation and Entrepreneurship: Jingwei Alex HE
Selected Technology and Innovation Research Projects
Selected Research Project |
Funding Agency |
Faculty |
|---|---|---|
| Bus Electrification in Hong Kong: Energy Consumption Prediction and Charging Facility Planning (2024-Now) | Chief Executive's Policy Unit – Public Policy Research Funding Scheme |
(Principal Investigator) |
| Use of digital health technologies and data to enhance health system outcomes (2025-Now) | Asia Pacific Observatory on Health Systems and Policy, World Health Organization |
(Principal Investigator) |
|
Establishing Digital Product Passport for Sustainable Supply Chains: Centralized and Decentralized Approaches to Data Governance (2025-Current) |
HKUST Li & Fung Supply Chain Institute |
(Principal Investigator) |
|
Accelerating the Development of a Global Innovation and Technology Hub in the Guangdong-Hong Kong-Macao Bay Area: The Roles of Public Research Universities in Hong Kong (2019-2022) |
Strategic Public Policy Research Funding Scheme, Hong Kong SAR Government |
(Principal Investigator), (Co-investigator), (Co-investigator) and (Co-investigator) |
|
AI Academic Upskilling Program for Social Scientists |
Oxford Martin AI Governance Initiative (AIGI) |
Prof. Julien de Troullioud de Lanversin (Principal Investigator) |
|
Human–Machine Collaborative Intelligent Deliberation and Public Policy Optimization Using Generative Multi-Agent Large Language Models. (2025-Now) |
NSFC–RGC Joint Research Scheme |
(Principal Investigator) |
|
PI (2026–2029) Human-Machine Collaborative Intelligent Deliberation and Public Policy Optimization Using Generative Multi-Agent Large Language Models |
NSFC General Research Grant |
(Principal Investigator) |
|
Co-I (2026–2029) Generative Content Detection and Ethical Value Alignment for Multimodal Large Models |
NSFC-RGC Joint Research Scheme Fund |
(Principal Investigator) |
|
Using Machine Learning with Gamma Spectrometry to Verify Subcritical Tests |
Academy of Interdisciplinary Studies, HKUST |
Prof. Julien de Troullioud de Lanversin (Principal Investigator) |
|
A Comparative Study of the Science and Technology Funding Systems and Project Management in Hong Kong and Mainland (2019) |
Department of Resource Allocation and Management, Ministry of Science and Technology, China |
(Principal Investigator) |