Name | Caroline Jay |
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Affiliation | University of Manchester |
Research area code | (I1) Computer science |
Fellowship Inauguration Year | 2016 |
GitHub | carolinejay |
Short Biography | My research focuses on investigating how humans perceive and use technology, and using the results to engineer novel interaction paradigms. I am qualified in both Computer Science (MSc, PhD) and Psychology (BA, CPsychol), and work across a number of domains, including healthcare, the Web/IoT and television. I also strive to teach software engineering effectively (something which is still not covered well in higher education), by collaborating both with software engineers, and with industry. I’m currently developing a new course unit that will give undergraduates experience of using an open source code base, automated testing, issue tracking and continuous integration (as well as all the other challenges associated with feature development and bug fixing). To make this kind of course unit work, I believe it’s vital to involve software engineers in both development and teaching (I’ve worked as a developer in industry, and written code as a researcher, but get less hands-on experience now, and there is no substitute for that!), and I’ve obtained £20,000 of competitive Faculty funding to enable two of our RSEs to contribute to this work. Developing my teaching practice has fueled a growing interest in research in the area of software quality and sustainability, and I’ve started to supervise student projects in this area, which has resulted in publications at SSSE (https://www.escholar.manchester.ac.uk/uk-ac-man-scw:273117) and WSSSPE (http://dx.doi.org/10.6084/m9.figshare.1111925). |
Title | Start date | End date |
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No event. |
Blog | Publish date |
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Reproducible Research: Citing your execution environment using Docker and a DOI | Monday, 16 October 2017 |
Developing an industry-led mentoring scheme for software engineering undergraduates | Friday, 06 October 2017 |
Human-like computing: the future of research software engineering? | Wednesday, 13 September 2017 |
Recognising software is central to science: the Code/Theory Workshop makes the case | Friday, 07 July 2017 |