Workshop on Teaching and Assessing Technology Ethics, Tuesday 6 Dec

If you are currently teaching or interested in teaching anything to do with ethics and technology, then please consider attending a half-day workshop that Dharini Balasubramaniam and Tristan Henderson are holding in JC 1.33 on Tuesday 6 Dec.

The aim is to discuss challenges, share syllabi and best practices, and ideally to build a shared repository of teaching resources.

This event is kindly sponsored by the SICSA Education theme.

Teaching and Assessing Technology Ethics

November Graduation

The School of Computer Science will host a small graduation reception in the JC coffee area on Tuesday 29th November between 14:00-16:00.

Graduating students and their guests are invited to come along and celebrate with a glass of bubbly.

Computer Science degrees will be conferred in an afternoon ceremony in the Younger Hall. Family and friends who can’t make it on the day can watch a live broadcast of graduation.

Research Away Day October 2022

Thanks to everyone who attended the school Research away day. The day was very informative and lots of ideas were created.

It was lovely to meet our Ukrainian Visiting Academics Maryna Novozhylova and Olga Chub.

We would also like to thank our guests, Ricky Shek from careers, Kirsty Ross from RIS,  Adeel Shafi and Jayshree Johnstone from business development.

Seminar Talk from a SICSA visitor (Daniel Garijo) Friday 10 June, 11.00am

Accelerating Research Software Understandability Through Knowledge Capture

Daniel Garijo

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

All Welcome!