Training

We offer a range of different types of training events. Learn about the different types of events we offer and what participants can expect when attending them.

We love sharing and recycling.  We use open resources in our work and make the materials we produce during our training available via GitHub. They range from markdown help pages to PowerPoint presentations to R and Python notebooks. All the material is covered by a CC-BY 4.0 license. We also support other open educational resources like The Programming Historian and TEI-By-Example.

If you are interested in developing your skills, there are lots of options locally and further afield. From online courses to summer schools, our listings will help you identify what is available in the UK and beyond. 

Aislinn is a PhD student in the Centre for Language Evolution. Her research combines behavioural experiments and agent-based modelling to investigate the role of language production biases in the emergence of linguistic structure. She is proficient in Python, R and JavaScript and is passionate about the use of simulation-based techniques for experimental design and data analysis.

Brian Tsz Ho Wong is a PhD candidate (East Asian Studies) in the School of Literatures, Languages & Cultures. His research explores the networks of capital and power elites in the wartime Japanese Empire, and the use of private capital to fuel imperial ambitions. He is passionate about using digital tools (Gephi, QGIS and Google Earth) in his research. At CDCS, he is excited to teach and support the use of Gephi in humanities and interdisciplinary studies.

Chris is a PhD mathematics researcher with the MAC-MIGS Centre of Doctoral Training, who is affiliated with the Institute of Genetics and Cancer. His work is interdisciplinary and involves combining causal inference with genomics. He loves teaching individuals on how to get the most out of ‘big data’ by using data analysis techniques appropriately and accurately, and most importantly how to implement these in Python and R.

Fang Jackson-Yang is based in the School of Philosophy, Psychology, and Language Sciences. Fang researches how people communicate prominent information in transitive events (e.g., “Jerry kicked the oil lamp”). She uses eye-tracking techniques to investigate when and how listeners make predictions of the endpoints of such events (e.g., the lamp fell on the floor). She also uses laboratory and digital corpus data to investigate how speakers use various sentence structures and other linguistic means to describe such events in different settings and what factors influence their choices.

Ki is a PhD candidate at the Advanced Care Research Centre studying ways to enhance greenspace accessibility for older adults. She is a landscape architect with professional experience delivering construction projects and landscape assessments. Besides an interest in using QGIS and ArcGIS for geospatial visualisation and analysis, she expanded her exploration with aggregating geospatial data and performing further analysis with R to study the correlation between environmental variables and urban density. 

Martin Disley is a practice-led design researcher based at the Institute for Design Informatics at the University of Edinburgh. His critical engineering studio practice blends artistic inquiry and investigative computing, producing outputs in software, film, installation, and text. His PhD research explores adversarial design and investigative aesthetics as Research through Design methods for explainability and interpretability of generative computer vision.

Prior to pursuing his PhD, he worked as a software developer for a music technology startup and as a research engineer at the University of Edinburgh.

Rhys is based at the School of Health in Social Sciences.

Rhys is a psychologist researching adaptive behaviours and mental health in elite sports. His research makes use of statistical modelling with survey data, particularly investigating interactions to determine how context shapes the efficacy of “adaptive” behaviours. His preferred coding language is R, and he is passionate about using data visualisation techniques to communicate and simplify research findings.

Sarah Schöttler is a PhD candidate at the VisHub lab in the School of Informatics. Her research explores responsive visualization with a focus on geographic data and visualization. She is active in the visualization community and has previously worked as a visualization and map developer for clients such as the PeaceRep consortium at the Edinburgh Law School. At CDCS, she is excited to teach and offer support with data visualization and mapping, web development, and general programming skills.

Xan Cochran (they/them) is a Research Masters’ student in Informatics, with supervisors in Informatics and Philosophy. Their research concerns the metaphysics of ‘levels’ in scientific discourses, and combines philosophical analysis with the computational modelling of epistemic communities. They hold degrees in English Literature and Developmental Linguistics, and have for the last decade been working as a tutor for the University, having tutored in the Schools of Informatics; Philosophy, Psychology, and Language Sciences; Social and Political Sciences; Biological Sciences; Design; Music; Physics and Astronomy; Mathematics; Economics; and Geosciences. In their spare moments, they paint and write science fiction.