Short Courses

The ISA runs courses and workshops on a regular basis. These aim to bring the best of theoretical and applied statistics to academic, industrial and public service statisticians and statistics students. More information can be found here.

Gosset Lecture 2023

It is with great pleasure that the Irish Statistical Association announces that registration is now open for the Gosset Lecture, which takes place at 6:00pm on Thursday 26th October in the Royal Irish Academy, 19 Dawson Street, Dublin. Registration for this lecture is required as places are limited. Register via the following Eventbrite link Note that …

CASI 2023

The Department of Mathematics and Statistics, University of Limerick is pleased to host the 43rd Conference on Applied Statistics in Ireland from Monday 15th May to Wednesday 17th May 2023 in the Brehon Hotel in Killarney, Co. Kerry. See for further details.

Invited speakers: Thomas Kneib (University of Göttingen, Germany), Deborah Ashby (Imperial College London, UK), Janine Illian (University of Glasgow, UK), and Giles Hooker (University of California, Berkeley, USA).

Key Dates:

  • Registration opens: Tuesday March 7th 2023.
  • Registration closes: Friday April 21st 2023.
  • Call for abstracts closes: Friday March 31st 2023.

3rd Young-ISA Meeting

*You are already an ISA member if you attended CASI 2022, or, alternatively, you can become a member here (and this is free for students).

This event will bring together many career-young statisticians in Ireland to focus on collaborative workflow in Statistics and Data Science, using tools such as Github to carry out projects within teams. We will host two keynote talks and a round table featuring Dr. Isabella Gollini (University College Dublin) and Dr. Fernando de Pol Mayer (Maynooth University), as well as short research talks delivered by career-young researchers from different Irish universities, distributed over two presentation rounds. The winners of the Young-ISA Twitter Poster Conference will be announced at this event. Please check here for more detail on how to participate.

The full programme can be found here.

Statistical Approaches to Understanding the COVID-19 Pandemic on the Island of Ireland

Workshop funded by the Irish Statistical Association, with support from the Royal Statistical Society

Slides from this event can be downloaded here.

Date: Monday 25th April, 10am-4:30pm
Location: LCI-G018, ILAS Building, NUI Galway
Organisers: Nicola Fitz-Simon and Laura Boyle for the ISA and RSS Medical Section
Registration: This event is free to attend. Please email by Wednesday 13th April; registration will be confirmed by return email. If the event is oversubscribed priority will be given to PhD students, ISA and RSS members.

Keynote talks will be delivered by Dr Darren Dahly (University College Cork), Dr Anthony Masters (co-author with David Spiegelhalter of “Covid by numbers”), Prof Adele Marshall (Queens University Belfast), and Prof Cathal Walsh (University of Limerick). There will also be two sessions covering research carried out under the SFI COVID-19 Rapid Response scheme and applications with HSE, HPSC and NISRA data.

The full programme is available here.

CASI 2022

The Department of Statistics within the School of Mathematical Sciences, University College Cork is pleased to host the 42nd Conference on Applied Statistics in Ireland from Monday 16th May to Wednesday 18th May 2022 in Garryvoe Hotel in East Cork, winner of the prestigious title of “Coastal Escape of the Year” in the Irish Hotel Awards 2021 for both Munster and Ireland. See for further details.

Invited speakers: Jim Smith (University of Warwick), Marie Reilly (Karolinska Institute), Mark Costello (Nord University), Nicole Augustin (University of Edinburgh).

Key Dates:

  • Call for abstracts closes: Friday April 15th 2022.
  • Early bird registration closes: Friday April 22nd 2022.
  • Registration closes (for packages with rooms): Monday May 2nd 2022.

2nd Young-ISA Meeting

This is the 2nd Young-ISA meeting, which will take place virtually on Friday 28th January 2022 from 10.00am – 4.30pm. There is no charge for attending this event, but registration is required using the Eventbrite link here by Wednesday 26th January 2022.

This event is open to all early career statisticians (including postgraduate and PhD students, postdoctoral researchers and lecturers) and all ISA members. It will gather together statisticians from across Ireland for a series of talks dedicated to Communication and Reproducibility in Statistics.

Keynote talks will be delivered by Prof Andrew Parnell (Maynooth University) and Prof Ailish Hannigan (University of Limerick), and two further sessions are devoted to showcasing research projects conducted by postgraduate and post-doctoral researchers across Ireland.

The full program is available here.

CASI 2021

Maynooth University is pleased to host the 41st Conference on Applied Statistics in Ireland on Wednesday May 12th (short course) and Thursday May 13th (main conference). This is a virtual event where details of attendance will be sent to registered participants only. There is no registration cost. See for further details.

Invited speakers: Hadley Wickham (RStudio), Gerda Claeskens (Katholieke Universiteit Leuven), and Leontine Alkema (University of Massachusetts Amherst).

Key Dates:

  • Registration opens: Monday March 15th 2021.
  • Registration closes: Tuesday May 11th 2021 at 17.00.
  • Call for papers closes: Friday Match 26th 2021.
  • Call for posters closes: Friday April 30th 2021.

Gosset Lecture 2021

Professor Dianne Cook

The ISA Gosset lecture 2021 will be delivered by Professor Dianne Cook (Monash University) on Wednesday 3rd February at 9:30am.

This will be a virtual event which is free to attend, but registration is necessary:

Human vs computer: In Visualising Data, Who Wins?

Can computers relieve data analysts of the arduous task of graphically diagnosing models?

Computer vision has come a long way in recent years. The models produced can now be used to automatically inspect the quality of items emerging along production lines, identify objects in photos and even navigate an autonomous vehicle.

Despite the fact that visualisation plays a major role in data analysis, the use and interpretation of graphics by data scientists/statisticians is subjective. Analysts rely almost entirely on their own judgement, years of experience and an implicit calculation of uncertainty when interpreting graphics. Considering data plots as a type of statistic encourages towards an inferential approach to reading data plots. By formalising data visualisation in this way, we can explore the possibility of training a computer vision model to do this visual inference task.

In this talk, I will give an introduction to these ideas and then present the results of computer vision model for evaluating residual plots, used for diagnosing statistical model fits, comparing them to human evaluations of the same plots. Who do you think wins?