The New Zealand Statistical Association

Welcome to the New Zealand Statistical Association‘s website. 

The latest NZSA Newsletter, Issue 89 August 2023, is available here.

NZSA Conference, 4-6 December 2023 – REGISTRATION NOW LIVE

The 73rd annual New Zealand Statistical Association (NZSA) conference will be hosted by the University of Canterbury, Te Whare Wānanga o Waitaha, at their Christchurch campus from Monday 4th December to Wednesday 6th December 2023. 

Registration and abstract submission is now live at

Take advantage of early-bird registration which runs until 30th September. 

The following plenary speakers have been confirmed: 

  • Prof. Hans-Peter Piepho, University of Hohenheim, Germany 
  • Dr Matt Edwards, University of Auckland 
  • Dr Nokuthaba Sibanda, Victoria University of Wellington

The NZSA is funding some travel awards for students to attend the conference. More information is here. Note that the deadline for applying for student travel awards is 16th October 2023.

NZSA Awards 2023 Call for nominations

The NZSA Awards Committee is now accepting nominations for the Association’s awards for 2023.  The list of awards is:

Campbell Award, recognising sustained contribution to the promotion and development of statistics.

Jean Thompson Award, recognising excellence in the application of statistics in New Zealand industry.

Littlejohn Research Award, recognising excellence in research, based on publications during the five calendar years preceding the date of the award.

Worsley Early Career Research Award, recognising outstanding recent published research from a New Zealand statistician in the early stages of their career.

Regulations, including details of the nomination requirements, can be found on the webpages linked above. Nominations (or queries regarding these awards) should be sent to Vanessa Cave, Convenor of the NZSA Awards Committee, by email.  The closing date for 2023 nominations is Sunday 15 October.

NZSA Newsletter 88 (March 2023) is available now. It can be read here.



The NZSA congratulates the winners of the 2022 NZSA Best Student Presentations (from left to right): Adam Bartonicek (Highly Commended), Anna Redmond (Highly Commended), Bradley Drayton (Best Student Presentation), Emma Doolin (Data Science Team Manager, Harmonic Analytics). Harmonic Analytics generously sponsored these prizes at the 2022 NZSA Conference.




We are pleased to annouce that the 2022 NZSA Award recipients are Matt Edwards (Worsley Award), Ting Wang (Littlejohn Award), Ian Westbrooke (Jean Thompson Award) and Len Cook (Campbell Award).

Worsley Award:
Matt Edwards
Citation: Gravitational wave observations are transforming our understanding of the universe. This has been made possible through the advancement of state-of-the-art statistical methods. Matt develops novel Bayesian methods and deep neural networks to uncover the mysteries of the universe.
Littlejohn Award:           
Ting Wang
Citation: A/Prof Wang’s research is multidisciplinary, centering on the interface of statistics and geophysics. She has a burgeoning international profile, developing novel statistical models and methods for application to real-world geoscientific problems like earthquake occurrence modelling and volcanic eruption forecasting.
Jean Thompson Award:
Ian Westbrooke
Citation: Ian has worked with MBIE, in health, and with Statistics NZ. He has been the statistician with DoC and was the first in this role. Ian has been very active in statistics education. His own research includes high impact publications in ecology.
Ian is congratulated by Beatrix Jones
Campbell Award:
Len Cook
Citation: Len has a long career in public service, both in New Zealand and abroad. His roles have included Government Statistician of New Zealand, National Statistician and Director of the Office for National Statistics, United Kingdom, Registrar General for England and Wales, and Families Commissioner in New Zealand. He was elected as a Companion of the Royal Society of New Zealand in 2005, and was made a Commander of the Most Excellent Order of the British Empire (CBE) in 2005.

Len’s interests include social policy, demography, statistical methodology and the application of information technology in statistical systems. He is interested in the promotion of research methodology in public policy analysis and decision-making with past interests particularly in retirement provision and taxation policies. Len has been influential in advocating for the use of data in a wide range of policy contexts. From his days as a senior executive at Statistics New Zealand to his active contributions, he is one of New Zealand’s most visible and respected statisticians.