Past Events

The MATHS ARCADE is a night of everyone's favourites: computer games and mathematics! Just like a rad video arcade back in the day, we'll have heaps of awesome games, and you don’t even need any coins. Come and compete to get your initials in the Hall of Fame! There will be plentiful food, drinks, maths and fun. Supported by the most excellent Pac-people at the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS).

Register here!

Every five years the Census provides a snapshot of Australia. Census data are used by individuals, organisations and governments to make informed decisions on policy and planning issues that affect the lives of all Australians. These seminars will focus on the 2016 Census results and how to understand them. 

ACEMS is proud to be one of the sponsors for the 2017 AMSI Winter School on Computational Foundations of Data Science.

Following on from the sell-out success of NSQ 2016, ACEMS is once again proud to present the 2017

Workshop on Multi-variable Polynomials and Stochastic Systems

This course is part of the Big Data Analytics program with FutureLearn, which will enable you to gain the big data analytics skills that are in demand today.

As discussed at the ACEMS Retreat last year, a workshop for ACEMS Postdoctoral Researchers and Research Associates in ACEMS will be held at the University of Queensland on 20-22 March 2017.

The aims of the workshop are as follows:

ACEMS & QUT Institute for Future Environments Guest Lecture

We are looking for teachers to attend a training workshop to become 'Doing Maths like a Research Mathematician' (DMLARM) session leaders, with a view to them offering DMLARM sessions in their local area.

The aim of this workshop is to consider how the mathematical science research community should respond to the fact that its engagement and impact activities will be assessed differently by the government. For an enabling discipline such as mathematics, there are obvious challenges in this:  outside of applied mathematics and statistics, direct collaboration with industry is uncommon, and research commercialisation income is very low compared to other STEM disciplines.