Past Events

Data science helping to create a better justice system - an ACEMS Public Lecture at UTS

When: 

Tuesday, 11 June 2019, 6:30-7:30pm with a reception from 5:30pm

Public talks

This ACEMS Public Lecture aims to provide an overview of how data science and in particular statistical modelling can be used to inform a more effective criminal justice system.  Dr Suzanne Poynton, Acting Director of the NSW Bureau of Crime Statistics and Research, will open the session with some introductory remarks to set the context.  Dr Joanna Wang, who is a Research Statistician at the Bureau, will go into a more detailed description of how statistical modelling is used to help extract actionable insight from the Bureau's extensive database on criminal offenders in NSW.  She will go into some depth on one recent specific project that compares the recidivism rates of offenders who received an intensive correction order with those sentenced to short prison sentence.

Melbourne ACEMS Meet and Greet

When: 

Thursday 30 May: 4pm - 6:30pm

ACEMS would like to invite all our Melbourne collaborators and members to an informal Meet & Greet at The University of Melbourne. This is an opportunity for all ACEMS friends, colleagues, collaborators and friends to connect. Please feel free to bring along colleagues even if they are not currently collaborating with ACEMS.

MathsCraft: Coomera Anglican College, Gold Coast QLD

When: 

Tuesday, 30 April: 1:00pm – 4:00pm

Mathscraft

Mathscraft is a fun event for high school students, which aims to give them a taste of what 'real' maths is like. They are led through finding ways to solve problems by spotting patterns, making conjectures, and convincing themselves and others. They'll also have the opportunity to meet and work with research mathematicians.

This event is free, with morning tea provided. It's aimed at year 7/8 students with any level of interest in maths.

 

MathsCraft: Woodville High School, Adelaide SA

When: 

Thursday, 28 March: 1:30pm – 4:30pm

Mathscraft

Mathscraft is a fun event for high school students, which aims to give them a taste of what 'real' maths is like. They are led through finding ways to solve problems by spotting patterns, making conjectures, and convincing themselves and others. They'll also have the opportunity to meet and work with research mathematicians.

This event is free, with snacks provided. It's aimed at year 7-10 students with any level of interest in maths.

 

MathsCraft: The Geelong College, Newtown

When: 

Friday 22 February 2019, 10:00am – 1:00pm

Mathscraft

Mathscraft is a fun event for high school students, which aims to give them a taste of what research mathematicians do. They are led through finding ways to solve problems by sharing ideas, making conjectures, and forming convincing arguments. They also have the opportunity to meet and work with research mathematicians.

This event is free, with morning tea provided. It's aimed at year 6-9 students with any level of interest in maths.

 

Statistical Methods for the Analysis of High-Dimensional and Massive Data Sets

When: 

24-25 January 2019

Conference / Workshop

Big data is a fast-growing field and skills in the area are some of the most in demand today.  During these two days, we will introduce big data and some of the statistical and mathematical approaches for analysing it.  The big problem is that the data is big - the size, complexity and diversity of datasets increases every day. This means we need new solutions for analysing data.

ACEMS Workshop: Modelling, Experiments, Data - What Constitutes Scientific Evidence?

When: 

Weds, 12 December, 2018

Conference / Workshop

Models of processes are the foundation of the physical sciences. In contrast, in health - with little prospect for developing a deep mechanistic insight of complex human health conditions - statistical approaches, and in particular the use of Randomised Controlled Trials, are the norm.

This workshop will explore if/how models (variously termed mechanistic, causal or process models) can fundamentally change the validity of and utility of certain types of data, with implications for how we synthesise knowledge and argue for decisions across different areas of science.

Presentations will be given by academics from a number of disciplines: mathematics, statistics, history and philosophy of science, epidemiology and ecology.

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