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Upcoming Events

RNT

Research Networking Tea: Machine Learning: NOT the answer to everything!

In conjunction with the celebrations for Data Science Week 2022, the Curtin Institute for Computation (CIC) will hold its second Research Networking Tea in 2022 – discussing the data science tool machine learning, and its best- and worst-use cases.

The event will be held on Tuesday, 10th May, from 3:00 – 4:00 pm at the CIC, Bentley campus, B216, 2. level, in ICP-Pyxis, Hydra and Collab Area.

The aim of the event is to foster collaborations and interdisciplinary research in the digital innovation space including data science, high performance computing, machine learning, and artificial intelligence. The Research Networking Tea gives researchers the opportunity to gain a better understanding of the broad spectrum of possibilities to utilize data science and computation through specific examples of applied data science given by CIC partners.

Agenda for Tuesday, 10th May:

3:00 – 3:15 pm (10 min talk, 5 min Q&A)

Talk: “Challenges Data Scientists face in machine learning projects”

Speaker: Dr Danie Marrable, Lead Data Scientist at the Curtin Institute for Computation

3:15 – 3:30 pm (10 min talk, 5 min Q&A) Talk: “Key lessons learned from doing data science projects”

Speaker: Dr Sawitchaya Tippaya, Senior Data Scientist at the Curtin Institute for Computation

3:30 – 4:00 pm Time for researchers from across the faculties and our industry partners to mingle and discuss their research while enjoying coffee, tea, and other refreshments.

Admission to the event is free but registration is mandatory. Please register through Eventbrite  if you would like to attend. Due to room capacity restrictions, we are only able to offer a limited number of tickets for this event. Please make sure you cancel your booking if you are unable to attend or notify us at Curtinic@curtin.edu.au, so someone else can take your spot.

Please be aware that people who register for CIC events and then do not attend (without cancellation or notification) will not be able to attend future CIC events. Please be aware that we will be taking pictures during the event for our archive and marketing purposes. If you do not wish to be photographed, please let us know at CurtinIC@curtin.edu.au. Contact: Please email CurtinIC@curtin.edu.au for more information.

Register now!


RNT

Research Networking Tea “Data Science in the Faculty of Business and Law” March 2022

 

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Join us at the Curtin Institute for Computation (CIC) for our first Research Networking Tea in 2022 – this time with an emphasis on applied data science in the Faculty of Business and Law.

The event will be held on Tuesday, 15th March, from 3:00 – 4:00 pm at the CIC, Bentley campus, B216, 2. level, rooms 202 – 204.

The aim of the event is to foster collaborations and interdisciplinary research in the digital innovation space including data science, high-performance computing, machine learning, and artificial intelligence. The Research Networking Tea gives researchers the opportunity to gain a better understanding of the broad spectrum of possibilities to utilize data science and computation through specific examples of applied data science given by CIC partners.

 

Agenda for Tuesday, 15th March 2022:
3:00 – 3:15 pm (10 min talk, 5 min Q&A)

Talk“Metafinds – a modern web app developed so anyone can explore and find robust research results published in meta-analytic studies”

Speakers: Dr Ramon Wenzel, Senior Lecturer at the Curtin School of Management & Director of the national ‘Learning for Purpose’ initiative

3:15 – 3:30 pm (10 min talk, 5 min Q&A)

Talk: “We are hiring!! The associations of job advertisement content and the characteristics of applicants – a FOWI-CIC collaboration”

Speaker: Assoc Prof Patrick Dunlop, Associate Professor at the Future of Work Institute – Curtin Business School

3:30 – 4:00 pm

Time for researchers from across the faculties and our industry partners to mingle and discuss their research while enjoying coffee, tea, and other refreshments.

 

Due to room capacity restrictions we are only able to offer a limited number of tickets for this event. Please make sure you cancel your booking if you are unable to attend or notify us at Curtinic@curtin.edu.au, so someone else can take your spot. Please be aware that people who register for CIC events and then do not attend (without cancellation or notification) will not be able to attend future CIC events.

Please be aware that we will be taking pictures during the event for our archive and marketing purposes. If you do not wish to be photographed, please let us know at CurtinIC@curtin.edu.au.

Contact: Please email CurtinIC@curtin.edu.au for more information.


RNT

Research Networking Tea – “Data Science in Marine Research” 2021

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Research Networking Tea – “Data Science in Marine Research”

 

Join us at the Curtin Institute for Computation (CIC) for our third Research Networking Tea in 2021 – this time with an emphasis on applied data science in marine research.

The event will be held on Tuesday, 30th November, from 2:00 – 3:00 pm at the CIC, Bentley campus, B216, 2. level, rooms 202 – 204.

The aim of the event is to foster collaborations and interdisciplinary research in the digital innovation space including data science, high performance computing, machine learning, and artificial intelligence. The Research Networking Tea gives researchers the opportunity to gain a better understanding of the broad spectrum of possibilities to utilize data science and computation through specific examples of applied data science given by CIC partners.

 
Agenda for Tuesday, 30st November:

 

2:00 – 2:15 pm (10 min talk, 5 min Q&A)

Talk: “Towards measurement automation of fish biomass and biodiversity with Baited Remote Underwater Video

Stations (BRUVS) and data science – why this work is important and what challenges remain.”

 

Speakers: Prof Euan Harvey , Professor in Marine Science- School of Molecular and Life Sciences & Dr Daniel Marrable,

Lead Data Scientist – Curtin Institute for Computation

 

2:15 – 2:30 pm (10 min talk, 5 min Q&A)

Talk: ‘Multi-sensor data merging for improved spatial coverage and determination of uncertainties’

 

Speaker: Prof David Antoine, Head of the Remote Sensing and Satellite Research Group – School of Earth and Planetary Sciences

2:30 – 3:00 pm

Time for researchers from across the faculties and our industry partners to mingle and discuss their research while enjoying coffee, tea, and other refreshments.

 

Admission to the event is free but registration is mandatory. Please register through Eventbrite (https://www.eventbrite.com.au/e/cic-research-networking-tea-data-science-in-marine-research-registration-190083503877) if you would like to attend.

Due to room capacity restrictions we are only able to offer a limited number of tickets for this event. Please make sure you cancel your booking if you are unable to attend or notify us at Curtinic@curtin.edu.au, so someone else can take your spot. Please be aware that people who register for CIC events and then do not attend (without cancellation or notification) will not be able to attend future CIC events.

Please be aware that we will be taking pictures during the event for our archive and marketing purposes. If you do not wish to be photographed, please let us know at CurtinIC@curtin.edu.au.

Contact: Please email CurtinIC@curtin.edu.au for more information.


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Data Carpentries 2021

More information

The Curtin Institute for Computation is offering free, in-person Data Carpentry Workshops in Python and R to Curtin University staff and students. Registration is free of charge but mandatory, as participant numbers are limited.

The workshops are aimed at Curtin University 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 workshops.

Participants must have a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. For more information, please visit the respective Eventbrite registration pages (links can be found below for the individual workshops).

Data Carpentry Workshop in Python

This hands-on workshop will cover an introduction to data analysis and visualisation in Python. We will also touch on the tools and techniques to use the Digital Earth Australia (DEA) infrastructure, Sentinel-2 imagery, and Jupyter notebooks to solve real world problems.

When: Tuesday, 16th November 2021, from 9:00 am – 4:30 pm

Where: Curtin University, Bentley Campus (Kent street, Bentley 6102 WA), building 501, room 117

For more information and to register for this workshop, please click here.

 

Data Carpentry Workshop in R

This hands-on workshop will cover an introduction to data analysis and visualisation in R.

When: Wednesday, 17th November 2021, from 9:00 am – 4:00 pm

Where: Curtin University, Bentley Campus (Kent street, Bentley 6102 WA), building 501, room 117

For more information and to register for this workshop, please click here.



RTN space

Research Networking Tea on Tuesday, 31st August, from 2:00 – 3:15 pm at the CIC – “Data Science in Astronomy”

 

 


More information

Join us at the Curtin Institute for Computation (CIC) for our second Research Networking Tea in 2021 – this time with an emphasis on applied data science in astronomy.

The event will be held on Tuesday, 31st August, from 2:00 – 3:15 pm at the CIC, Bentley campus, B216, 2. level, rooms 202 – 204.

The aim of the event is to foster collaborations and interdisciplinary research in the digital innovation space including data science, high performance computing, machine learning, and artificial intelligence. The Research Networking Tea gives researchers the opportunity to gain a better understanding of the broad spectrum of possibilities to utilize data science and computation through specific examples of applied data science given by CIC partners.

 

Agenda for Tuesday, 31st August:

 

2:00 – 2:15 pm (10 min talk, 5 min Q&A)

Talk: “Application of Machine Learning techniques to Planetary Science”

Speaker: Prof Gretchen Benedix, Deputy Head of School – School of Earth and Planetary Sciences

2:15 – 2:30 pm (10 min talk, 5 min Q&A)

Talk: “The “SMART” way to discover new pulsars”

Speaker: Dr Sam McSweeney, Associate Lecturer – Curtin Institute for Radio Astronomy

2:30 – 2:45 pm (10 min talk, 5 min Q&A)

Title: “Fireball event detection using both machine learning and classical image processing”

Speaker: Dr Martin Towner, Senior Research Fellow – School of Earth and Planetary Sciences

2:45 – 3:15 pm

Time for researchers from across the faculties and our industry partners to mingle and discuss their research while enjoying coffee, tea, and other refreshments.

 

Admission to the event is free but registration is mandatory. Please register through Eventbrite if you would like to attend.

Due to social distancing regulations, we are only able to offer a limited number of tickets for this event. Please make sure you cancel your booking if you are unable to attend or notify us at Curtinic@curtin.edu.au, so someone else can take your spot. Please be aware that people who register for CIC events and then do not attend (without cancellation or notification) will not be able to attend future CIC events.

Please be aware that we will be taking pictures during the event for our archive. If you do not wish to be photographed, please let us know at CurtinIC@curtin.edu.au.


ResBaz Logo

Virtual Research Bazaar from 28th June – 02nd July 2021

The Research Bazaar is a worldwide festival promoting the digital literacy emerging at the center of modern research.

More information

The Research Bazaar is a worldwide festival promoting the digital literacy emerging at the center of modern research.

Hosted online in 2021, the Perth Research Bazaar is a FREE 5-day virtual ‘pick and mix’ conference where researchers come together to up-skill in ‘next generation digital research tools and skills’. In the spirit of a marketplace or bazaar, ResBaz is a highly participatory event where researchers from many different disciplines can learn, share knowledge and skills, and have fun!

Who should attend? Researchers at ALL levels from ALL disciplines. PhD and research Masters students are especially encouraged to attend. Research technologists who support researchers to do their job should also come along! Sessions at ResBaz this year are intended to offer a brief practical introduction to a broad selection of topics and tools related to digital research practice relevant across the disciplines.

Please note, registration is required for each of the individual workshops. You may attend as many workshops and presentations as you like! Some of the computational training workshops do have capacity limits, and we will endeavour to make recordings of these sessions available on the website where possible.

See the event website for the full schedule and to register for individual workshops: ResBaz Perth

Elephant

Research Networking Tea on Tuesday, 11th May, from 2:00 – 3:00 pm at the CIC

More information

In conjunction with the celebrations for Data Science Week 2021, the Curtin Institute for Computation (CIC) is reinstating its Research Networking Tea as a quarterly reoccurring event series. The first Research Networking Tea 2021 will be held on Tuesday, 11th May, from 2:00 – 3:00 pm at the CIC, Bentley campus, B216, 2. level, rooms 202 – 204.

The aim of the event is to foster collaborations and interdisciplinary research in the digital innovation space including data science, high performance computing, machine learning, and artificial intelligence. The Research Networking Tea gives researchers the opportunity to gain a better understanding of the broad spectrum of possibilities to utilize data science and computation through specific examples of applied data science given by industry partners of the CIC.


carpeting

March 2021 Virtual Data Carpentry Workshop – R

We are offering free registration to a virtual Data Carpentry Workshop in R for Curtin University staff and students, held from 1:00 pm- 4:30 pm on the afternoons of Thursday, March 25 and Friday, March 26.

More information

Registration is free, but if you can no longer attend please refund your ticket so we may offer the place to someone else. Please register using your Curtin University staff or student email address at Eventbrite.

The Carpentries mission is to build global capacity in essential data and computational skills for conducting efficient, open, and reproducible research. This hands-on workshop will cover an introduction to data analysis and visualisation in Python. 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“.

Course Content: 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.

Where: Online

For syllabus and schedule see the event page: https://curtinic.github.io/2021-03-25-curtin-online/

Requirements: Participants must have 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 on the workshop webpage). They are also required to abide by the Carpentries Code of Conduct.

Contact: Please email CurtinIC@curtin.edu.au for more information.


carpeting

March/April 2021 Virtual Data Carpentry Workshop – Python

We are offering free registration to a virtual Data Carpentry Workshop in Python for Curtin University staff and students, held from 1:00 pm – 4:30 pm on the afternoons of Wednesday, March 31 and Thursday, April 1.

More information

Registration is free, but if you can no longer attend please refund your ticket so we may offer the place to someone else. Please register with your Curtin University staff or student email address at Eventbrite.

The Carpentries mission is to build global capacity in essential data and computational skills for conducting efficient, open, and reproducible research. This hands-on workshop will cover an introduction to data analysis and visualisation in Python. 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“.

Course Content: Data analysis and visualisation in Python

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.

Where: Online 

For syllabus and schedule see the event page: https://curtinic.github.io/2021-03-31-curtin-online/

Requirements: Participants must have 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 on the workshop webpage). They are also required to abide by the Carpentries Code of Conduct.

Contact: Please email CurtinIC@curtin.edu.au for more information.


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

 


Past Events

CIC Research Symposium 2019

Date: December 12, 2019
Location: Curtin University, Building 200A, Room 220, Bentley
Networking
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The CIC is running its second research symposium showcasing the research being undertaken within the institute. The symposium is a great opportunity for CIC members and the wider university and industry community to find out about the wide variety of research being enabled by the CIC. This morning event consists of presentations that have been tailored for a general audience, visually compelling demos in the HIVE, and morning tea where you can engage with the CIC research community.

9.30am – 10.30am Welcome & Presentations (200A.220)

10.30am – 11.30am Demos and Morning Tea (HIVE)

11.30am – 12.30pm Presentations (200A.220)

December CIC Research Seminar

Date: December 10, 2019
Location: Innovation Central Perth, Building 216 Room 204, Curtin University, Bentley Campus
CIC Seminar | Networking
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Data Science Education

Presented by Prof Linda McIver

 

Abstract:

There’s a huge push to engage school kids with STEM. Too often this means playing with toys or “solving” hypothetical problems.

Data Science gives us the perfect opportunity to empower kids to solve real problems using STEM skills. Kids learn that STEM skills are tools they can use to make their world a better place.

In this talk I’ll give you the origin story of the Australian Data Science Education Institute (ADSEI) – a registered charity aimed at bringing STEM to all Australian students. I’ll describe some of the projects we have developed, and how you can use our Data Science resources and ideas in your own Education and Outreach efforts (for free!).

Bio:

Founder and Executive Director of the Australian Data Science Education Institute, Dr Linda McIver started out as an Academic with a PhD in Computer Science Education. When it became apparent that High School teaching was a lot more fun, Linda began a highly successful career at John Monash Science School, where she built innovative courses in Computational and Data Science for year 10 and year 11 students.

Nominated as one of the inaugural Superstars of STEM in 2017, Linda is passionate about creating authentic project experiences to motivate all students to become technologically and data literate.

While Linda loves the classroom, it was rapidly becoming clear that teachers in the Australian School system were keen to embrace Data Science, but that there was a serious lack of resources to support that. That’s why Linda created ADSEI – to support Data Science in education.

The one hour presentation will be followed by a networking opportunity

December 2019 Software Carpentry Workshop – Python and R

Start date: December 4, 2019
End date: December 6, 2019
Location: Curtin University, Bentley Campus
Training
swclogo

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.

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

November CIC Research Seminar 2

Date: November 20, 2019
Location: Innovation Central Perth - Building 216 Room 204, Level 2 Curtin University, Bentley Campus
CIC Seminar | Networking
research-seminar-768×205

Artificial Intelligence – perception, expectations, and reality

Presented by Prof Lars Nolle

Abstract:

Artificial Intelligence (AI) has become part of the modern pop culture and is featured in many science fiction books or films, often together with evil robots or artificial lifeforms. This led to a certain perception of AI in the general public, frequently associated with menace and loss of control. Based on that perception, even well respected scientists and entrepreneurs from non-AI backgrounds, like Stephen Hawking and Elon Musk, have warned that AI poses a threat to our very existence. In contrast, there are technology evangelists who now sell AI as the solution to all our problems. This again changed the perception of AI in the general public and increased the expectations people have. As a result, even big technology companies started to use the term Artificial Intelligence as a marketing buzzword, highlighting capabilities instead of threats. There is a huge gap between AI as perceived by laymen and what is actually happening in the AI community. In this talk we shall look at the different interpretations of the term AI before discussing potential dangers, threats and capabilities of Artificial Intelligence.

Bio:

Lars Nolle graduated from the University of Applied Science and Arts in Hanover, Germany, with a degree in Computer Science and Electronics. He obtained a Postgraduate Diploma in Software and Systems Security and an MSc in Software Engineering from the University of Oxford as well as an MSc in Computing and a PhD in Applied Computational Intelligence from The Open University.

He worked in the software industry before joining The Open University as a Research Fellow. Subsequently, he became a Senior Lecturer in Computing at Nottingham Trent University and is now a Professor of Applied Computer Science at Jade University of Applied Sciences.

After serving two years as Associated Dean of Research, Lars is currently Dean of Studies at the Department of Engineering Sciences. He is also currently President of the European Council of Modelling and Simulation. Lars’ main research interests are artificial intelligence methods for real-world scientific and engineering applications

The one hour presentation will be followed by a networking opportunity.

RNT November 2019

Date: November 14, 2019
Location: Innovation Central Perth, Building 216 level 2
Networking
RNT

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 regularly joined by Innovation Central staff and visitors from e.g. CSIRO

November CIC Research Seminar

Date: November 13, 2019
Location: Innovation Central Perth - Building 216 Room 204 Level 2, Curtin University, Bentley Campus
CIC Seminar | Networking
research-seminar-768×205

Statistical challenges in identifying genetic component to depression

Presented by Prof Cathryn Lewis

Abstract:

The human genome comprises millions of genetic variants that are inherited within families. Many variants contribute to our risk of developing a disease, or play a role in continuous traits such as height or cholesterol level. Genetic data is a statistical goldmine and in the last decade, we have made great strides in uncovering the genetic predisposition to many disorders through genome-wide association studies. These studies have shown that most major public health problems are polygenic, with risk conferred by the combined effects of multiple genetic variants. Our most recent studies have identified 102 genetic variants, but these account for only a small proportion of trait variance, and of the genetic contribution.

Statistical challenges in these studies include:

1. Choice of relevant phenotype definition, for example, clinical diagnosis or number of depressive symptoms

2. Analysis strategies for millions of variants genome-wide using regression methods or machine learning methods.

3. Dissecting genetic correlations between disorders from shared variants

4. Prediction studies, from polygenic risk scores combining risk variants

In this talk, I will describe our studies to identify the genetic component to major depressive disorder. I will give an overview of the role of statistics in gene discovery, and highlight the opportunities in methodological and analytical statistical research based on the rich data arising from biological studies.

Bio:

Cathryn Lewis is Professor of Genetic Epidemiology and Statistics, with a split post across the Division of Genetics and Molecular Medicine (School of Medicine) and the MRC Social, Genetic and Developmental Psychiatry Centre (Institute of Psychiatry).

She leads King’s College London’s Statistical Genetics Unit, a cross-school group to develop and support methods in statistical genetics, with a particular focus on complex traits. She has held an academic post at King’s College London School of Medicine since 1996. Previously, she was at the University of Utah, Salt Lake City, and completed her PhD in Statistics at the University of Sheffield.

The one hour presentation will be followed by a networking opportunity.

October CIC Research Seminar 2

Date: October 30, 2019
Location: Innovation Central Perth - Building 216 Room 204, Level 2 Curtin University, Bentley Campus
CIC Seminar | Networking
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Toward more comprehensive search systems for research and learning

Presented by Ben Adams

Abstract:

Modern search engines are optimized for efficiency-to give users answers almost before they ask for them. However, some complex search behaviour is not well-served by current search engines, especially when users are engaging in slower, more creative search tasks such as research or critical learning. In this talk, Ben will discuss two current research projects he is working on to develop comprehensive search systems that facilitate more exploratory modes of searching for information. The first project is a spatiotemporal search engine for exploratory search through historical and geographic lenses. The second project is focused on developing interactive narrative-based systems in mobile settings. Ben will conclude with some thoughts on how comprehensive search might help us rethink how we organize our scientific research outputs for better uptake and reuse.

Bio:

Ben Adams is a senior lecturer in Computer Science at the University of Canterbury in New Zealand. His research focuses on how we can organize and represent geographic, historical, social, and scientific knowledge to better promote synthesis and learning by users. The research he undertakes is both explanatory and constructive. In the first case he develops theories to explain how the information that we produce and share in digital form reflects human conceptualizations of the world. In the second case he builds software tools that help people use geographic information better to solve problems. Adams currently serves as editor-in-chief of the Journal of Spatial Information Science (JOSIS).

The one hour presentation will be followed by a networking opportunity.

October CIC Research Seminar

Date: October 17, 2019
Location: Innovation Central Perth - Building 216 Room 204, Level 2 Curtin University, Bentley Campus
CIC Seminar | Networking
research-seminar-768×205

A statistical journey through imagery from mass spectrometry, fMRI and towards the sky

Presented by Professor Inge Koch

Abstract:

Since the beginning of the 20th century, Pearson, Hotelling (and very many others since then) have worked with multivariate data in order to find patterns and structure in such data and to summarise their data in simpler forms. Towards the end of the 20th century one of the early methods, Principal Component Analysis (PCA), enjoyed renewed interest and has since become an area of high research activity and probably the main exploratory tool for analysing high-dimensional data.

In this talk, Professor Koch begins with a little history relating to PCA and then describes some of today’s uses of PCA that she is involved in: in the analysis of proteomics mass spectrometry data used in cancer research; in the detection of sparse signals obtained in functional data of fMRI images of brain scans and their relationship to maths anxiety and in surveys of the sky as available from the square kilometer array and other telescopes.

Bio:

Inge Koch was appointed Professor of Statistics and Data Science in the Department of Mathematics and Statistics, UWA, and started this position in early 2019. Inge’s research focusses on multivariate and high-dimensional data, analysis of such data, and application of new statistical approaches to diverse domains. She is interested in statistical learning and in particular in dimension reduction and feature extraction, clustering and classification and sparsity. She has been collaborating with medical researchers and biochemists on flow cytometry in the detection and progression of diseases, on challenges in cancer research using proteomics mass spectrometry, with electrical engineers on signal processing of fMRI images, and with astronomers on source detection of astronomy surveys.

As head of Statistics and Data Science at UWA and in her previous work at other Australian universities, Inge has been active in encouraging young women to study and take up careers requiring mathematics. From mid-2015 to early 2019, Inge has been the Executive Director of the Australian Mathematical Sciences Institute and its BHP-funded CHOOSEMATHS program which aims to increase participation of girls and young women in mathematics and STEM.

The one hour presentation will be followed by a networking opportunity.

RNT October 2019

Date: October 10, 2019
Location: Innovation Central Perth, Building 216 level 2
Networking
RNT

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 regularly joined by Innovation Central staff and visitors from e.g. CSIRO

RNT September 2019

Date: September 12, 2019
Location: Innovation Central Perth, Building 216 level 2
Networking
RNT

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 regularly joined by Innovation Central staff and visitors from e.g. CSIRO