AI3SD Video: GitHub & LaTeX Demo

Kanza, Samantha and Munday, Samuel (2021) AI3SD Video: GitHub & LaTeX Demo. Knight, Nicola, Frey, Jeremy G. and Hooper, Victoria (eds.) Skills4Scientists Seminar Series 2021. 07 Jul - 02 Sep 2021. (doi:10.5258/SOTON/P0122).

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 third 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 - GitHub and LaTeX Demo - Dr Samantha Kanza and Mr Samuel Munday - Version of Record

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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. Samuel Munday is a Research Assistant at the University of Southampton. He is currently part of the ICURe programme, and his research focus is in the digital economy space, interviewing and working with industry to assess the need for systems that can automatically curate and contextualise information from paper records. Samuel graduated from the University of Southampton in 2018 with an MChem in Chemistry and Maths, and prior to undertaking his recent position, he worked as a Research Technician at the University, and was involved with a variety of different projects. He led the development and implementation of a machine learning platform for the polymeric materials sector, aiding them in bringing new products to market faster. He has also developed and helped deliver a Python programming course for undergraduate Chemists as well as being involved in assessing the ethical implications of implementing AI and data sharing across the food supply chain.

Venue - Dates: Skills4Scientists Seminar Series 2021, 2021-07-07 - 2021-09-02

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