#websci21: Review of Day 1

We started off day one of the Web Science Conference with the PhD Symposium. Allison Noble, Web Science PhD student, summarised her participation in this event as follows: "A number of experienced academics gathered at the Web Science PhD Symposium in order to provide PhD students (at different stages of their candidature) an opportunity to showcase their research goals and to receive feedback on their ongoing research on an international platform. Continue reading →

NVivo

By Karla de Lima Guedes | iPhD Web Science Student Thanks to the Web Science CDT training fund, I had the opportunity to attend two National Centre for Research Methods (NCRM) training courses: (1) Introduction to NVivo in March/21 and (2) Analysing Literature and Documents with NVivo in April/21. Continue reading →

INLG Conference and the ‘Evaluating NLG Evaluations’ Workshop

By Lesia Tkacz  | Web Science iPhD student Thanks to the Web Science CDT training fund, I had the opportunity to attend the 13th International Conference on Natural Language Generation (INLG 2020) which was held online from Dublin from 15 to 18 December. As a subfield of Natural Language Processing (NLP), Natural Language Generation (NLG) generates text from data. Continue reading →

WebSci’20 – an online event by Ian Coombs and Justyna Lisinska

Back in July, the University hosted the WebSci'20 international conference. This was an opportunity for academics from across the world to descend on Southampton to share their research, discuss topics of common interest, network and otherwise socialise. WebSci'20 brought together researchers from various disciplines including computer and information science, economy, communication and health science. Continue reading →

AI3SD AI4Good Workshop @ WebSci’20 Report 2020

Abstract: This year the AI3SD Network+ (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery -www.ai3sd.org) ran a workshop at the WebSci20 Conference. We are living through an AI and data revolution. Artificial and augmented intelligence systems are already being used in the scientific discovery domain and have the potential to make a groundbreaking impact. Continue reading →