News from ACEMS

Mixing maths and the Marvel Comics Universe (MCU). ACEMS Researchers at The University of Adelaide do some cool mathematical modelling to look into cast sizes, and whether they make a difference in the MCU movies. 

International collaborations can strengthen your research, spark new ideas, and open doors to new opportunities. But many researchers know it can be hard and expensive to make those collaborations happen.  

One year after launching, though, the ACEMS International Mobility Programme (IMP) is giving ACEMS early-career researchers (ECRs) and graduate students the chance to build their international networks and experience.  

Everything you need to know heading into Game 1 of State of Origin. ACEMS' Stephen Woodcock from UTS shows us what the numbers are saying about the big game in this story in The Conversation.

What started out as a conversation starter on ACEMS Associate Investigator Lewis Mitchell’s desk will now have people really talking at the newest exhibit at Adelaide’s Museum of Discovery (MOD).

How much does your socio-demographic background such as income, type of work and where you were born affect who you vote for? Quite a lot.

ACEMS Chief Investigator Rob Hyndman and ACEMS Associate Investigator Di Cook explain in a story written in The Conversation.

The Australian Election Commission is turning to the experts to use mathematical modelling to try to cut down on the wait times in  queues at election polling places. This story from ABC News includes ACEMS Deputy Director and Chief Investigator Nigel Bean, from The University of Adelaide.

ACEMS Associate Investigator Yanan Fan (UNSW) is the lead author in a major new study looking into gender and cultural bias at the university level. Among other things, it shows that in Business and Science, a male teacher from an English-speaking background was more than twice as likely to get a higher score on a student evaluation than a female teacher from a non-English speaking background. 

New research has revealed that people’s behaviour is predictable from the social media data of as few as eight or nine of their friends.

Published today in the journal Nature Human Behaviour, a study from the University of Adelaide in Australia and the University of Vermont in the US has found that even where people have deleted their accounts they can be profiled from the information that can be drawn from their friends’ posts.

ACEMS Associate Investigator Dr Susanna Cramb has just been named a Superstar of STEM by Science & Technology Australia (STA).

Susanna is only one of 60 scientists chosen from around Australia to be a part of STA’s second cohort of Superstars of STEM. The program aims to smash society’s gender assumptions about scientists and increase the public visibility of women in STEM.