Abstract:

The Carpentries (https://carpentries.org/) is a global community of
volunteers which teach foundational coding and data science skills to researchers
worldwide through Software Carpentry, Data Carpentry, and Library Carpentry
workshops. Being involved in the Carpentries since 2015, I organised and taught
at several workshops, developed new lessons, and trained new Carpentry instructors.
In my talk I will discuss the Carpentries pedagogical approach, and also consider
its applicability to teaching Computer Science students.

Abstract:

2016 was a weird year for Carron. On the plus side she was one of twelve women in Computing and Mathematics to receive a Suffrage Science Award, recognising both scientific achievement and ability to inspire others. She’s involved in lots of work to promote careers in science for women, having initiated and led the Athena SWAN programme of actions at Stirling for four years, and started building Cygnets: a good practice network of UK computing departments engaged in gender equality work. But 2016 was also one of the worst years of her life, with lots of stress, and consequent depression. She’ll talk about her journey from student to professor, with some thoughts about the people and qualities that lead to success, and how those qualities can also be enemies. This should be relevant for everyone, no matter their career stage, academic or professional services, or discipline. (Spoiler alert: she will probably have more questions than answers in this talk!)

Speaker Bio:

Carron Shankland is a professor in Computing Science at the University of Stirling. Her research is about understanding the behaviour of biological systems through mathematical and computational models. Current projects include using data mining to understand disease dynamics, and modelling cancer therapies to try to understand how the actions of therapies might combine to greater effect. As a senior academic, she believes in participating in governance: she’s had positions on Academic Council and University Court, and was deputy head of Natural Sciences. Carron is passionate about the promotion of careers in science for women, having initiated and led the Athena SWAN programme of actions at Stirling 2012-2016. She chairs the BCS Women in Computing Research Group and is building DiVERct: a good practice network of ICT (computing and electronic and electrical engineering) departments engaged in diversity and inclusion work. In 2017 she won one of the first Scottish Women’s Awards for services to science and technology, and in 2016 she was one of twelve women in Computing and Mathematics to receive a Suffrage Science Award, recognising both scientific achievement and ability to inspire others. When she’s not doing computing science (or admin!) she likes to play classical chamber music (she plays clarinet and viola), chop things down in the garden, or visit galleries and coffee shops with her partner Pat (they’ve had a civil partnership since 2006).

Abstract:

This talk will concentrate on some successful applications of search-based and neural network algorithms in two distinctly different areas of real-time embedded systems development: scheduling and timing analysis, and Internet of Things. However it will then motivate some significant challenges for the artificial intelligence community that surprised a user from another research community. The talk will highlight how a seemingly simple-to-use powerful solutions would benefit from a more traditional engineering lifecycles.

Speaker Bio:

Dr Iain Bate is a Reader within the Real-Time Systems (RTS) Research Group at York. His main interests include scheduling and timing analysis, and design assurance to achieve dependable operation even when there are complex failures. His original doctoral work on scheduling and timing analysis was first patented and then adopted by Rolls-Royce for use on current aircraft projects. His work on timing analysis has been used on a large fast jet project.

Recently he has worked on applying the principles of Dependable Real-Time Systems (DRTS) to more complex systems such as automotive systems and Wireless Sensor Networks (WSN) including for environmental monitoring. In particular he has concentrated on producing models of aspects of systems through the building of systematic methods based around multi-variate statistical models. Dr Bate has published over 100 papers and 30 industrial reports, and secured and managed over £5 million worth of grants. He was the Editor-in-Chief for the Journal of Systems Architecture for 10 years.