To inspire tertiary students to uncover meaningful insights with the use of big data and data analytics, the School’s Center for Business and Social Analytics (CBSA), and Wisers AI Lab of Wisers Information Limited jointly organized the CBSA-Wisers Analytics Challenge @HKUST for the first time, drawing 30 team registrations from local tertiary institutions.
The five finalist teams leveraged their analysis in the preliminary round to construct a model to predict passenger arrivals and departures in Hong Kong during the COVID-19 pandemic. A three-member team from the HKUST Dual Degree Program in Technology and Management (T&M-DDP) took the championship.
Presented with the open-end task of extracting insights from a data set containing more than 440,000 news articles, social media posts, and comments related to the COVID-19 outbreak in Hong Kong, the contest participants had the chance to develop algorithms and analytical methods for examining public interests in timely topics such as vaccines, government policies, and economic development. A series of five webinars was organized in late 2021 to help participants acquaint with big data and business and social analytics.
Read the press release here or see the full list of winners here.
