Vast swathes of our social interactions, personal behaviours and commercial transactions are now conducted online and/or captured digitally. These digital phenomena are often aggregated into large, rich and unstructured data sets, many of which are only accessible if you possess the right computational skills to access and manage data from websites and online databases (Kitchin, 2014).
This training series, run over 2.5 days, introduces participants to core concepts, and computational and creative methods for working with digital data. The training consists of a mix of lectures, data demonstrations, practical exercises, and group discussions.
The training is suitable for empirical researchers who are interested in learning foundational skills for collecting and marshalling digital data. No prior knowledge of computational methods, programming or online databases is required.
No specialist software is required, participants only need access to a web browser.
Ethics, trust and privacy are important considerations in this domain and participants will be briefed in best practice.
Session 1: Monday 16 May (online) – 10am to 3pm
Session 2: Tuesday 17 May (online) – 10am to 3pm
Session 3: Wednesday 18 May (online) – 10am to 1pm