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Upcoming Events

Hacky Hour

Date: August 15, 2018

Time: 3pm - 4pm

Location: Library Makerspace, Level 5

Hacky Hour

Hacky Hour is a weekly meetup designed to help build a community around data and/or computing driven research. Everyone is welcome to drop-in to work on problems related to code, data, or digital tools in a social environment.

We have weekly lightning talks about various topics and regular guest visits from Pawsey and to sweeten the deal we will provide biscuits as well.

Follow @CUHackyHour for updates and info on guests and talk topics.

No RSVP necessary, just rock up!

Hacky Hour

Date: August 22, 2018

Time: 3pm - 4pm

Location: Library Makerspace, Level 5

Hacky Hour

Hacky Hour is a weekly meetup designed to help build a community around data and/or computing driven research. Everyone is welcome to drop-in to work on problems related to code, data, or digital tools in a social environment.

We have weekly lightning talks about various topics and regular guest visits from Pawsey and to sweeten the deal we will provide biscuits as well.

Follow @CUHackyHour for updates and info on guests and talk topics.

No RSVP necessary, just rock up!

CIC seminar August 2018

Date: August 22, 2018

Time: 2pm - 3pm

Location: B216:204 - Innovation Central Perth

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CIC seminar August 2018

Data scientists aren’t magicians – How to collaborate with data scientists effectively

Cara Kreck

 

Abstract:

If you believed the hype around data science and big data, you would probably be under the impression that data scientists can perform miracles with data. However data scientists don’t possess algorithms to make useful insights appear like magic. If you understand the myths and realities of data science, you will be in a better position to collaborate with data scientists effectively and set your projects up for success.

The Curtin Institute for Computation (CIC) has a team of computational and data scientists employed to support Curtin’s researchers. Join us to learn about what data scientists actually do and hear about some of the research projects the CIC team have supported.

 

Bio:

Cara is currently completing a PhD in computational biophysics and has a background in physics and chemistry. During her undergraduate degree and PhD research she has investigated the properties of supercooled water, cryoprotective solutions, and model cell membranes. Her research has centred on using molecular dynamics simulations, which she conducted using various systems at the Pawsey Supercomputing Centre. She has also gained extensive experience in data analysis and visualisation, scripting, administration of Linux systems, working on cross-disciplinary projects and teaching.

Cara began her work in the CIC through Innovation Central Perth, where she has worked on projects involving various companies, government departments, and researchers. She enjoys assisting others and learning about a diverse range of topics while working on projects. She has also participated in providing computational training to researchers through programs such as Software Carpentry and Research Bazaar.

Introduction to Machine Learning (August 2018)

Date: August 27, 2018

Time: 9am - 5pm

Location: B216:201

Introduction to Machine Learning (August 2018)

This workshop will introduce machine learning concepts through a mixture of lecture and hands-on coding. The aim is to teach a basic understanding of designing machine learning workflows for supervised and unsupervised learning approaches, classification and regression methods and model tuning.

 

Who: The course is aimed at postgraduate students and researchers as well as professional staff who would like to know more about ML. The course will provide a general overview and is designed to help inform participants about which ML techniques work for different types of data and problems.

 

Prerequisites: A working knowledge of Python and Jupyter notebooks is essential for this workshop. i.e. knowledge of basic data structures, operations and how to write scripts. No prior knowledge of machine learning is expected.

 

Topics covered:
  • Data preparation
  • Exploratory data analysis
  • Classification
    • Cross validation
    • Learning curves
    • Model tuning
    • Reporting
  • Regression
  • Clustering
  • Dimensionality reduction

Hacky Hour

Date: August 29, 2018

Time: 3pm - 4pm

Location: Library Makerspace, Level 5

Hacky Hour

Hacky Hour is a weekly meetup designed to help build a community around data and/or computing driven research. Everyone is welcome to drop-in to work on problems related to code, data, or digital tools in a social environment.

We have weekly lightning talks about various topics and regular guest visits from Pawsey and to sweeten the deal we will provide biscuits as well.

Follow @CUHackyHour for updates and info on guests and talk topics.

No RSVP necessary, just rock up!

RNT September 2018

Date: September 11, 2018

Time: 2pm - 3pm

Location: B216:204 - Innovation Central Perth

RNT September 2018

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regulary joined by Innovation Central staff and visitors from e.g. CSIRO

RNT October 2018

Date: October 9, 2018

Time: 2pm - 3pm

Location: B216:204 - Innovation Central Perth

RNT October 2018

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regulary joined by Innovation Central staff and visitors from e.g. CSIRO

RNT November 2018

Date: November 6, 2018

Time: 2pm - 3pm

Location: B216:204 - Innovation Central Perth

RNT November 2018

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regulary joined by Innovation Central staff and visitors from e.g. CSIRO

RNT December 2018

Date: December 4, 2018

Time: 2pm - 3pm

Location: B216:204 - Innovation Central Perth

RNT December 2018

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regulary joined by Innovation Central staff and visitors from e.g. CSIRO

 


Past Events

If you are interested in any further information on our past events feel free to contact the CIC team.

RNT August 2018

Date: August 14, 2018

Time: 2pm - 3pm

Location: B216:204 - Innovation Central Perth

RNT August 2018

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regulary joined by Innovation Central staff and visitors from e.g. CSIRO.

Hacky Hour

Date: August 8, 2018

Time: 3pm - 4pm

Location: Library Makerspace, Level 5

Hacky Hour

Hacky Hour is a weekly meetup designed to help build a community around data and/or computing driven research. Everyone is welcome to drop-in to work on problems related to code, data, or digital tools in a social environment.

We have weekly lightning talks about various topics and regular guest visits from Pawsey and to sweeten the deal we will provide biscuits as well.

Follow @CUHackyHour for updates and info on guests and talk topics.

 

No RSVP necessary, just rock up!

CIC Visitor Seminar August 2018

Date: August 2, 2018

Time: 2pm - 3pm

Location: B216:204 - Innovation Central Perth

Applied Text Analytics: the need for human information interaction and cognitive approaches in learning contexts

Presented by Dr Andrew Gibson

 

Abstract:

In the last decade there have been significant advances in Natural Language Processing (NLP). At the data level, cloud computing and techniques for processing Big Data have enabled us to engage with unstructured text in new ways. Advances in neural inspired algorithms have resulted in new approaches to constructing language models. Vector space approaches continue to produce many algorithms for working with semantics. The increasing work in Natural Language Understanding (NLU) has spawned a new breed of intelligent agents and chatbots.

However, amidst the incredible advances, there is a more sobering picture when NLP is applied in real human contexts. Many of the best approaches still fail to live up to human expectations when released in the complex contexts of humans interacting with language.

In this presentation Andrew Gibson will explore some of these issues in the application of NLP to learning contexts, and will provide provocations on how this area may be advanced. Drawing on his experience in Text Analytics for learning, Andrew will outline his opinion on why a simultaneously abductive and pragmatic approach is required, and what such an approach might look like. Supported with examples from recent work, he will argue that to make significant advances in future, the field will need to include both models of human cognition and new processes for the interaction between people and information.

Bio:

Andrew Gibson is a Lecturer in Information Science at QUT. His primary research interest is in transdisciplinary understandings of fields where people and technology interact, in particular the field of Learning Analytics. He has developed this interest theoretically in Transepistemic Abduction, a specialised mode of reasoning, and practically in Reflective Writing Analytics. Andrew has initiated open source software projects to support his research work, notably GoingOK, and TAP (Text Analytics Pipeline). He has delivered workshops and talks locally and internationally on Text Analytics, and previously held a position of Research Fellow in Writing Analytics at the Connected Intelligence Centre, University of Technology Sydney (UTS). Originally a secondary school music teacher, specialising in music technology, Andrew has also held positions in IT management, creative production management, and management of a small tech hardware start-up. Andrew holds a PhD in Information Science, a Bachelor degree in Educational Studies, Postgraduate Diploma in Information Technology, and Diploma in Teaching.

CIC Research Symposium 2018

Date: July 26, 2018

Time: 1.30 pm - 4.30pm, followed by a sundowner

Location: Bankwest Lecture Theatre, B200A.220

CIC Research Symposium 2018

We are running our inaugural research symposium showcasing the research being undertaken within the institute.
The symposium will be a platform for CIC members to showcase their research to the wider university and industry community through a mixture of presentations and demos.

Many of the presentations will be describing work funded through the CIC ORS grant scheme.
As we will shortly be opening the 2018 ORS round, we encourage you to come along and take the opportunity to come up with and discuss project ideas.

Places are limited and RSVP is essential.

 

Note, the symposium has proven to be very popular and we had to change the event location as the HIVE cannot accommodate everyone, the new locations are specified in the program below.

 

Program

1.30pm – 2.30pm

Welcome & Presentations (200A.220)

2.30pm – 3.30pm

Demos and Afternoon Tea (HIVE & Aroma)

3.30pm – 4.30pm

Presentations (201.413)

4.30pm

Sundowner (ICP)

 

 

Speakers

1.30pm – 1.50pm  Andrew Rohl

Welcome and CIC update

1.50pm – 2.10pm  Mark Agostino 

Structural studies of the initial stages of Wnt signalling

2.10pm – 2.30pm  Peter Dell 

Map of the IPv4 Address Space

3.30pm – 3.50pm  James Hane 

Computational biology applications in plant pathology and crop protection

3.50pm – 4.10pm  Kay O’Halloran

Analysing violent extremist communications and their uptake in the media

4.10pm – 4.30pm  Deborah Kerr & Joanne McVeigh

Evaluating wearable technology to improve physical activity monitoring and feedback in overweight adults

 

Demos

  • Yi Juin Lim – ElectroAus: Data Storytelling in Financial Industries
  • Artur Lugmayer – VisLab: Visualisation, Media Technology, and User-Experience
  • Peter Dell – Map of the Internet
  • Gretchen Benedix – Detection of Mars craters
  • Richard Hosking – CIC publications analytics
  • Ricardo Mancera – Molecular Dynamics visualisations
  • Andrew Woods – HIVE visualisation examples
  • Hafizur Rahaman – HoloLens demo

SWC July 2018 workshop

Start date: July 16, 2018

End date: July 18, 2018

Time: 9am-5pm

Location: B216:201

SWC July 2018 workshop

Course Content:

  • Introduction to the Unix Shell
  • Introduction to version control (using Git)
  • Data analysis and visualisation in Python
  • Data analysis and visualisation in R

Who: The course is aimed at postgraduate students and researchers who want to learn more about automation and reproducibility of their research. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed here). They are also required to abide by Software Carpentry’s Code of Conduct.

Registration via Eventbrite

 

RNT July 2018

Date: July 3, 2018

Time: 2pm - 3pm

Location: B216:204 - Innovation Central Perth

RNT July 2018

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regulary joined by Innovation Central staff and visitors from e.g. CSIRO.

CIC seminar June 2018

Date: June 20, 2018

Time: 2pm - 3pm

Location: B216:204 - Innovation Central Perth

Use of cross-sectoral data linkage to predict high-rate offenders in Western Australia

Presented by Associate Professor Anna Ferrante

 

Abstract:

Studies have repeatedly found that a small number of offenders account for a disproportionate amount of crime. High-rate, persistent offenders (so-called ‘chronic’ or ‘prolific’ offenders) have a major impact on local crime rates and public perceptions of safety, and place a substantial financial and social burden on communities. Reducing (ideally, preventing) high rates of offending is a highly desired criminal justice objective.

Using population-level administrative data, our study identifies ‘prolific’ offenders in WA and describes their demographic and crime profiles. The official criminal records of all offenders born in WA between 1980 and 1995 were linked to administrative records from health, education and child protection databases. Linked data on families (parents and siblings) were also included. Using this information, the study identified factors that distinguish between prolific and non-prolific offenders. The study then examined whether correlates of prolific offending were similar between a) male and female offenders, and b) Indigenous and non-Indigenous offenders. The results and implications of the study will be explained in more detail.

Bio:
Anna Ferrante has a background in both criminology and record linkage with a degree in Pure Mathematics. Anna worked in IT as an applications programmer before gravitating toward academia and research.

As a Computer Programmer/Analyst, Anna specialised in record linkage (RL) and statistical applications. In the early 1990s, she used RL to establish a Road Injury Database for the School of Population Health, UWA. Following this, she set up data linkage infrastructure within the WA justice system – the Integrated Numerical Offender Identification System or INOIS (Ferrante, 1993). The development of INOIS enabled research into ‘criminal careers’, recidivism patterns, and the evaluation of criminal justice programmes.

As an academic, Anna has conducted criminological research and published papers on many issues including drugs and crime, driving and traffic related crime, Aboriginal justice issues, domestic violence, juvenile justice and criminal careers.  Anna has co-authored two books – one of the measurement of domestic violence and the other on the over-representation of Aboriginal people in the criminal justice system.

In 2009 Anna was seconded to Curtin University to establish the Centre for Data Linkage (CDL). The CDL is part of the Population Health Research Network (PHRN) – an NCRIS funded initiative to establish data linkage capabilities across Australia. Currently Anna is the Deputy Head of the new Research and Data Analytics Hub located within the Faculty of Health Sciences at Curtin.

CIC Seminar May 2018

Date: May 23, 2018

Time: 2pm - 3pm

Location: B216:204 - Innovation Central Perth

CIC Seminar May 2018

The Fast Multipole Boundary Element Method for Large-Scale Modelling in Computational Acoustics

Dr Daniel Wilkes

 

Abstract:

The Fast Multipole Boundary Element Method (FMBEM) is a numerical method which allows for the computational modelling of large-scale wave scattering or radiation problems (acoustics, elastodynamics, and electromagnetics) with significantly reduced computational resources.

This presentation will provide a general overview of the FMBEM algorithm and present numerical results for large-scale modelling problems in underwater acoustics, elastodynamics, and acoustic coupled fluid-structure interaction problems.

A simple algorithm for small-scale parallelisation (<64 cores) of the FMBEM will also be discussed

 

Bio:

Daniel Wilkes is a research fellow at the Centre of Marine Science and Technology (CMST) at Curtin University’s Department of Applied Physics. Daniel’s research work focuses on the development of fast algorithms for computational modelling in underwater acoustics for a range of applications including large-scale or high frequency acoustic scattering/sound radiation, target strength modelling, sound radiation from pile driving and modal analysis of vibrating structures.

RMT May 2018

Date: May 8, 2018

Time: 2pm - 3pm

Location: B216:204 - Innovation Central Perth

RMT May 2018

Note, the May RMT will be held as an afternoon tea on Tuesday May 8.
For this afternoon tea we will be joined by the Innovation Central Perth (ICP) staff as our special guests. So if you want to know more about what the ICP does and how you could engage with them please come along.

To foster collaborations and interdisciplinary research the CIC holds a regular research morning tea (RMT), where researchers from across the faculties can mingle and discuss their research.

Coffee, cake and healthy snack alternatives are provided while you can hear about CIC updates and talk to the CIC computational specialists and other researchers across all faculties.

RVSP: Please send any news items and confirm your attendance by Friday 4 May

Contact:  Email or call Rebecca on extension 2074

April SWC workshop – R

Start date: April 23, 2018

End date: April 24, 2018

Time: 9am-5pm

Location: B216:201

April SWC workshop – R

Software Carpentry‘s (SWC) mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. For more information on what we teach and why, please see our paper “Best Practices for Scientific Computing“.

Who: The course is aimed at graduate students and researchers. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.

Content: We will be teaching introductions to the Unix shell, version control with Git as well as programming with R. For the syllabus and schedule see the workshop webpage.

When: Monday 23 & Tuesday 24 April 2018, 9am – 5pm

Where: B216:201, Curtin University, Bentley Campus
RVSP: You can register via Eventbrite, there is a registration fee which will cover morning and afternoon tea.
Contact: Please email rebecca.lange@curtin.edu.au for more information.