The Hong Kong Climate Policy Uncertainty Index (HKCPU) quantitatively assesses climate policy uncertainty in Hong Kong, aiding stakeholders in analyzing risks and public perceptions. With the government's goal of carbon neutrality by 2050 and limited data on climate expenditures, this index helps understand the impacts of policy uncertainty on emissions and green finance.

Developed by Prof. Carlos Fernández-Loría, Assistant Professor of Information Systems, SHARI is a text-based game master for enthusiasts of tabletop roleplaying games (TTRPGs).

Developed in collaboration with Wisers Information Limited, the Tourism Index is a predictive index of tourism demand derived from social big data and powered by the latest natural language processing technologies and advanced statistical models.

FinSent is a browser-based financial sentiment analysis dashboard that employs FinBERT, an improved BERT model that specializes in sentiment analysis of financial texts. It allows users to navigate through different firms’ and industries’ earnings call and corporate filing sentiments.