Events relating to the ISA

Short Course: Imprecise Probability - A Gentle Overview

The ISA sponsored short course "Imprecise Probability - A Gentle Overview" will be delivered by Cassio P. de Campos (Reader, Centre for Data Science and Scalable Computing, Queen's University Belfast) and Alessandro Antonucci (Senior Researcher, Swiss AI Lab IDSIA). Hosted by Trinity College Dublin, the course will take place on Tuesday November 14th 2017 at 9.00am in the Yeats Suite of the O'Callaghan Mont Clare Hotel, Merrion Street Lower, Dublin 2.

Registration (which includes coffee breaks and lunch) is €20 for students and €30 otherwise. There is also a 50% discount for ISA members. More details can be found at To register for this course, please email  Attendees are also invited to attend the celebration of the 50th year of the Statistics Department at Trinity College Dublin taking place afterwards.

R Training Course

Insight Statistical ConsultingInsight Statistical Consulting are running their next R training course on the following dates in September:

  • Day 1: Wednesday 27th - Introduction to R Course
  • Day 2: Thursday 28th - Advanced R Course
  • Day 3: Friday 29th - New Developments in R

Academic Rate (Full Time Lecturers and Students) is €300 Each Day, with Business Rate €400 Each Day. Full Details can be found here:

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 to statistics students. We support crosscutting workshops linking statistics to applications areas. ISA members enjoy a discount to attend. If you would like to organize a course or workshop and wish it to be considered for inclusion in ISA events please complete the attached form and return it to the Secretary of the ISA.

ISA Gosset Lecture 2017

Professor David Hand
Professor David Hand

The ISA Gosset lecture 2017 will be delivered by the distinguished Professor David Hand OBE (Imperial College London) in the Royal Irish Academy, 19 Dawson St., Dublin on April 6th at 6:00pm.

Please note tickets are required. These are available free of charge at

The dangers of not seeing what isn’t there: selection bias in statistical modelling.

In general, in statistics and data science, more is better in the sense that larger data sets mean that smaller effects can be detected and more confidence can be placed in any statistical conclusions.  But this is only true if we have confidence that the data represent the underlying reality fairly. All too often the available data have undergone unobserved selection or distortion processes, which can mean they are potentially misleading. This applies in human interactions - where it has been suggested that the notion that ‘data=all’ can replace the need for careful theorising and statistical modelling - but also in the hard sciences and medicine.This talk gives examples of such cases, showing how ignorance of selection mechanisms has led to mistakes and even disasters. These mechanisms are described, and strategies for tackling the problem are outlined.This event is run in partnership with the Irish Statistical Association.  It will be followed by a reception partially sponsored by Diageo.

CASI 2017

Bloomfield House Hotel, Mullingar
Bloomfield House Hotel, Mullingar

37th Conference on Applied Statistics Ireland, 15-17th May, 2017

The 37th Conference on Applied Statistics in Ireland will take place in Bloomfield House Hotel, Mullingar from May 15-17. Registration is now open as is abstract submission at

The conference is being organized this year by the Statistics group of the School of Mathematics and Statistics UCD.

Please submit your abstracts as soon as possible. On behalf of the organising committee I extend a warm welcome to all potentail participants.  

Gabrielle Kelly
Chair of the local organizing committee

CASI 2017 Organizing Committee: Andrew Parnell, Claire Gormley, Kate O'Hanlon, Brendan Murphy, Nial Friel, Adrian O'Hagan, Damien McParland, Patrick Murphy, Vasiliki Dimitrakopoulou, Michelle Carey, Michael Salter-Townshend, Gabrielle Kelly.