AI3SD Video: Intro to LaTeX

Kanza, Samantha (2021) AI3SD Video: Intro to LaTeX. Knight, Nicola, Frey, Jeremy G. and Hooper, Victoria (eds.) (doi:10.5258/SOTON/P0120).

Record type: Conference or Workshop Item (Other)

Abstract

This talk forms part of the Skills4Scientists Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS). This series ran over summer 2021 and aims to educate and improve scientists skills in a range of areas including research data management, python, version control, ethics, and career development. This series is primarily aimed at final year undergraduates / early stage PhD students.
This video was the first talk in the Skills4Scientists #3 - Version Control and LaTeX Session, which focussed on focus on teaching the basics of LaTeX and version control.

Video

Pure-Skills4Scientists - Version Control and LaTeX - Intro to LaTeX - Dr Samantha Kanza - Version of Record

Available under License Creative Commons Attribution.

Download (567MB)

More information

Published date: 21 July 2021

Additional Information: Dr Samantha Kanza is an Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences.

Related URLs: