Methods Hub Summer School in Research Methods
The Methods Hub ran a fee-paying summer school in quantitative research methods, led by Dr. Pamela Campanelli (The Survey Coach – Survey Research Training and Consultancy), and qualitative research methods, led by Dr. Lea Sgier (Département de science politique et relations internationales – UNIGE). Each workshop ran for a week, and a total of 17 students attended the workshops.
HKUSI Summer Schools
The SSRC organized a fee-paying, two-week summer school in 2023 and 2024 on the topic of “Data Analysis Skills for Comparative Social Research” in conjunction with the HKU Summer Institute (HKUSI). The learning objectives of the summer schools were:
- To understand state-of-the-art theories and methods to identify and solve social issues.
- To conduct high-quality original surveys to collect primary data.
- To undertake quantitative analysis using primary and secondary data.
- To apply comparative and quantitative research to problem-solving.
Around 47-48 undergraduate students attended the workshops each year, largely from mainland China, and were awarded a certificate of completion.
2026 Summer Programme
A two-week summer school in 2026 on the topic “Introduction to Computational Social Science”, led by Professor Hongbo Wang. This course introduces the emerging field of computational social science (CSS), which combines social science with computational methods to study human behaviour and social phenomena. Students will learn how to collect, process, and analyse large-scale digital and behavioural data using computational tools such as text analysis, network analysis, social media analytics, and LLMs.