Training Winter-Spring 2026

We are delighted to announce the CDCS Training Programme for Winter-Spring 2026. 

Our training programme supports researchers across the College of Arts, Humanities and Social Sciences.  They focus on introducing and refining digital research practices. These sessions are planned from January to May 2026, covering a broad spectrum of digital tools and analytical techniques suitable for both beginners and more experienced practitioners. 

This semester's training programme specifically focuses on structured and unstructured data analysis and using artificial intelligence in research. 

To view the full range of events available, visit our Training Homepage, where you can find detailed information about the events and filter the results by level of difficulty, training type, and topics covered. 

We are offering both workshops and courses this semester. Workshops are self-contained and last between one and three hours. Courses are longer training events, typically comprising two to three classes. All our workshops and courses are hands-on events, so they often require some preparation, such as installing software or downloading teaching materials. 

Our training is delivered in person, online and hybrid. The online training will be delivered via Teams, and the in-person training will take place in Room 4.35 of the Edinburgh Futures Institute building. Our Digital Method of the Month meetings will be hybrid (so you can either join online via Teams or come to the EFI building). Please make sure to check if the training you intend to attend will take place remotely, in person, or hybrid. 

CDCS also offers the following training and support for researchers: 

• Data Surgery meetings. These meetings are aimed at researchers who are in the process of applying digital and data-driven methods to their research and are looking for some advice and support from fellow researchers.
• Training Pathways. The world of digital research methods can offer overwhelming possibilities so, with the help of researchers who have already implemented digital methods in their own work, we are building a series of pathways that will guide beginners through the steps and concepts they need to master new methodologies.