Join our online workshop, where we'll unveil strategies for crafting the methods and results sections of your thesis.

This session covers density-based clustering approaches such as DBSCAN and related methods. We explore core concepts including density thresholds, reachability, and handling irregular cluster shapes and noise.

Do you want to learn how to use copyrighted material in your research, and how to protect your own rights as an author? If so, this workshop is for you!

This session will introduce participants to various types of t-tests, including one-sample, two-sample, paired, and one-sided tests.

This workshop introduces graph-based clustering, including community-detection approaches such as spectral clustering and modularity-based methods. We examine how similarity networks are constructed and how graph topology guides cluster formation.

Ever found it challenging to answer the critical “So what” question in your research? Struggle no more!

This session will introduce participants to non-parametric tests, which are useful when data distributions do not meet the assumptions of parametric tests.

In this workshop, participants are invited to explore how to practically and creatively incorporate disability justice principles in participatory and community-engaged research.

Join our online workshop for a comprehensive overview of research proposal writing, applicable across various disciplines.

This session focuses on preparing mixed-type datasets—categorical, ordinal, and continuous variables—for clustering. We cover distance measures, data transformations, and quantification techniques that preserve variable meaning.