Accelerating Research Software Understandability Through Knowledge Capture
Summary: Research Software is key to understand, reproduce and reuse existing work in many disciplines, ranging from Geosciences to Astronomy or Artificial Intelligence. However, research software is usually difficult to find, reuse, compare and understand due to its disconnected documentation (dispersed in manuals, readme files, web sites, and code comments) and a lack of structured metadata to describe it. These problems affect not only researchers, but also students who aim to compare published findings and policy makers seeking clarity on a scientific result. In this talk I will present the main research challenges and our recent efforts towards facilitating software understanding by automatically capturing Knowledge Graphs from software documentation and code.
Short bio: Dr. Daniel Garijo Verdejo is a Distinguished Researcher at the Ontology Engineering Group of Universidad Politécnica de Madrid (UPM). Previously, he held a Research Computer Scientist position at the Information Sciences Institute of the University of Southern California, in Los Angeles. Daniel’s research activities focus on e-Science and Knowledge Capture, specifically on how to increase the understandability of research software and scientific workflows by creating Knowledge Graph from their documentation and provenance (i.e., steps, outputs, inputs, intermediate results).
For this talk we will use a hybrid approach: In person (Jack Cole, 1.33) and online, via Teams.
If you wish to attend it would be helpful if you could register on eventbrite to let us know if you intend to attend in person or online
Graduating students and their guests are invited to come along and celebrate with a glass of bubbly.
We’re delighted that the world-leading quality of our research has been recognised in the 2021 Research Excellence Framework.
Congratulations to all members of our School!
More Information on CS Ref results can be found on our Research page
Congratulations to David Letham who has been invited to the Gives Back Awards 2022, on behalf of University of St Andrews Charities Campaign.
David is one of the first winners of the making a difference Award. This new Award comes from students and staff who would like to nominate members of staff who have gone the extra mile within St Andrew’s community and beyond. Whether that be stepping up to help others during exceptional times, showing initiative or making a positive impact on the individuals/communities they have worked with
Enjoy the Ceremony!
We are looking to speak to further education students of all disciplines.
We want to understand what students want to know about personal cyber security and how they want to learn it. To participate, you must be 16 or over and based at college, not at school, and willing to take part in an interview about this. Sessions will last a maximum of 30-40 minutes, held on Microsoft Teams. Participants will be offered a £8 voucher for their time and contributions.
If you are interested, please get in contact using the details below. You will then be given a Participant Information Sheet with further details of our research and have the opportunity to ask questions, before being asked whether you consent to participate.
Amy Hunt – firstname.lastname@example.org
This study is being conducted as part of a research study in the School of Computer Science at the University of St Andrews. The researchers are Dr Jean Carletta, Kevin Doherty, Amy Hunt, and Molly Wilson.
SISCO Conference, 5 & 6 February
Ian Gent, Chris Jefferson and Simon Dobson are all presenting at the SISCO conference this weekend. There will be social and networking events which include free food in the medicine cafeteria. We think that these will be nice opportunities for all students, speakers and staff to get to know one other.
You are all invited to these events, both on Saturday and Sunday.
You can get your free tickets to attend and further information on their Facebook page
As part of the schools Distinguished Lecture Series we look forward to welcoming Prof. Giovanna Di Marzo Serugendo on Tuesday 9 November.
Prof. Giovanna Di Marzo Serugendo received her Ph.D. in Software Engineering from the Swiss Federal Institute of Technology in Lausanne (EPFL) in 1999. After spending two years at CERN (the European Center for Nuclear Research) and 5 years in the UK as Lecturer, she became full professor at the University of Geneva in 2010. Since 2016, she is the Director of the Computer Science Center of the University of Geneva, Switzerland. She has been nominated in 2018 among the 100 digital shapers in Switzerland. Her research interests relate to the engineering of decentralised software with self-organising and emergent behaviour. This involves studying natural systems, designing and developing artificial collective systems, and verifying reliability and trustworthiness of those systems. Giovanna co-founded the IEEE International Conference on Self-Adaptive and Self-Organising Systems (SASO) and the ACM Transactions on Autonomous Adaptive Systems (TAAS), for which she served as EiC from 2005 to 2011.
This event will be held on Teams with further details to follow.