What happens on Monday? (BoF)

2019-05-15T04:32:06Z (GMT) by Murray Cadzow Mik Black
Over the past three years, the provision of digital literacy training has greatly increased in New Zealand, largely led by NeSI and a number of universities and Crown Research Institutes, in affiliation with the international Carpentries initiative. By attending 1-2 Data and Software Carpentry workshops, and digital literacy training events such as Research Bazaar, learners and participants can be rapidly introduced to a range of tools and techniques to empower their research. These workshops rely on examples that are generalised, and that in a workshop environment give a sense of ability and accomplishment. After the workshops, however, researchers can find it difficult to translate the concepts for application in their specific research contexts. In addition, post-workshop, the immediate community of the workshop is no longer present, which often leads attendees to ask “what happens on Monday?”

This session seeks to discuss solutions that both trainers and trainees have found for continued support and training as learners progress from novice to competent practitioner.

ABOUT THE AUTHOR(S)
Dr Murray Cadzow has recently completed his PhD student in the Department of Biochemistry at the University of Otago, under the supervision of Professor Tony Merriman and Associate Professor Mik Black. Murray’s research involved the analysis of genome-wide genetic variation to identify regions of DNA associated with altered risk of human disease, focusing in particular on variation that changes the risk of developing gout and diabetes in Māori and Pasifika populations. Murray has a strong interest in computing, and also in digital literacy training. He is a certified Carpentries instructor and instructor trainer, and has helped organise and deliver multiple training and education events over the past few years.

Associate Professor Mik Black received a BSc(Hons) in statistics from the University of Canterbury, and a MSc (mathematical statistics) and PhD (statistics) from Purdue University. After completing his PhD in 2002, Mik returned to New Zealand to work as a lecturer in the Department of Statistics at the University of Auckland. An ongoing involvement in a number of Dunedin-based collaborative genomics projects resulted in a move to the University of Otago in 2006, where he now leads a research group focused on the development and application of statistical methods for the analysis of data from genomics experiments, with a particular emphasis on human disease. Mik has also been heavily involved in major initiatives designed to put in place sustainable national research infrastructure for NZ: Genomics Aotearoa and NZ Genomics Limited for genomics, digital literacy training via The Carpentires, and NeSI (New Zealand eScience Infrastructure) for high performance computing and eResearch.

Categories

License

CC BY 4.0