UPDATED click to view Conference Programme as of 20-07-17
The two-day programme will include:
- Alys Brett (https://www.software.ac.uk/alys-brett) will be presenting a keynote for SCC on Research Software Engineers. Based in the UK, Alys will call in live for Q&A after the recorded keynote. Keynote: Alys Brett, Data and Coding Team Leader, Culham Centre for Fusion Energy, UK. Alys is a research software engineer and scientific data specialist with a Physics background. Her main interests include: data analysis and visualisation, software development practices (Git, TDD, Agile etc) collaboration between scientists and software engineers, fundamental Physics, fusion, open source, cultural and equality issues in STEM, harnessing technology and the internet for social/environmental good. She is currently working on JET – the world’s foremost nuclear fusion experiment.
- Peter Ellis (http://ellisp.github.io/) will be presenting a keynote address. Peter is contracting as Principal Data Scientist at Stats NZ. His recent substantive roles include General Manager, Evidence and Insights at New Zealand’s Social Investment Agency; and Manager, Sector Trends at the Ministry of Business, Innovation and Employment (MBIE). He is a passionate data scientist and public servant with a track record of managing teams through change; whether working on aid management in Timor Leste, or economic and science data with MBIE. Peter is a leader in using advanced analytics and open source software such as R and Git in the public sector in ways that save money, increase quality and make more insight possible. In data visualisation, his team’s innovations included the Regional Economic Activity tools and New Zealand Tourism Dashboard. Analytical innovations include the development of the Modelled Territorial Authority GDP estimates and regional tourism estimates combining credit card data with data from surveys and the National Accounts. While managing teams is his day job, Peter in his own time is a hands-on statistician and his blog on statistics and data visualisation with R is at https://ellisp.github.io/. Peter has post graduate qualifications in Applied Statistics and in Development Studies but his first degree was classical music.