Data Visualization with R and Equality, Diversity, and Inclusion session
Day 2 – Foundations of Data Science I (AM)
10.00-12.00 Data Visualization with R
Data visualisation is core to meaningful data presentation, and plays a central tool in descriptive statistics. Effective visualization enables observers to analyse and reason about data. It makes complex data accessible, understandable, and usable. In these lectures, we give an introduction to data visualisation in the R programming language.
Participants require computers with the software R and the related interface (IDE) RStudio. These should be installed before the lecture.
Speaker biography: :Catherine Hurley is a Statistician with primary research interests in data visualisation for problems in data science and machine learning. Over the years she has authored and contributed to many such software packages, beginning with Data Viewer (1987) (a predecessor to GGobi), Quail (1987-2000) and more recently the R packages gclus (2004), PairViz (2008), DendSer (2013), condvis (2016) and ERSA (2018), all available on CRAN, and has published many papers on these topics. Since 2020 she is an Executive Editor of the Journal and is the incoming Editor-in-Chief. She is affiliated with the MU Hamilton Institute and the National Centre for Geocomputation. Dr. Hurley coordinates the MSc in Data Science at Maynooth University.
12.00-13.00 Should you be concerned with Equality and Diversity in your Research?
This presentation gives an overview of how Equality is defined in Ireland and the Gender Equality work in Higher Education Institutions in Ireland through Athena SWAN. I will then present information about why, as researchers, we should be interested in considering Equality and Diversity in our research.
Prof Ita Richardson, Department of Computer Science and Information Systems (CSIS), Co-Principal Investigator, Lero – the Irish Software Engineering Research Centre of the international Software Engineering research community, Ita’s research currently focuses on the topics of Connected Health. Women in STEM and Global Software Development. Her research has been funded from a variety of sources including Science Foundation Ireland, European Union and Enterprise Ireland.
Throughout her career, Ita has supported women’s issues, particularly within Science and Engineering disciplines. Ita currently leads the Johnson & Johnson funded WiSTEM2D (Women in Science, Technology, Engineering, Math, Manufacturing and Design) project within UL, which supports undergraduate students through a variety of initiatives. From 2017-2020, she held the position of Special Advisor to the University of Limerick President on Equality and Diversity, with responsibility for developing the Equality & Diversity strategy for UL. In this role, she was a member of the Irish University Association Vice-Presidents’ group on Equality, Diversity and Inclusion. She represented the University of Limerick on the Higher Education Authority Athena SWAN committee, and, until earlier this year, was a member of the Athena SWAN University and Science & Engineering committees and chair of the CSIS-Lero Athena SWAN committee. She is the Diversity Co-Chair for the International Conference on Software Engineering, 2023.
Participants are welcome to join in person (S206 Schumann Building, University of Limerick) or remotely. A Zoom link will circulate to remote participants on Wednesday 24th of August.
There is a 0.5 deduction from the training unit allocation per Enterprise Alliance member joining this session.
The SFI Centre for Research Training in Foundations of Data Science will train a cohort of PhD students with world-class foundational understanding in the horizontal themes of Applied Mathematics, Statistics, and Machine Learning.
For perfomance reasons we use Cloudflare as a CDN network. This saves a cookie "__cfduid" to apply security settings on a per-client basis. This cookie is strictly necessary for Cloudflare's security features and cannot be turned off.