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Upcoming Events

February CIC Research Seminar

Date: February 5, 2020

Time: 1:00-2:00pm

Location: Innovation Central Perth, Building 216 level 2, Room 204 Curtin University, Kent St Bentley

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February CIC Research Seminar

Catching Crooks with Bayes Nets: Using Bayesian Networks to identify significant crime events

Presented by Mr Shih Ching Fu

Abstract:

Police globally have invested heavily in curating accurate crime data on their respective jurisdictions. Anecdotally however, senior officers are spending proportionally more and more time wading through these new lakes of data and proportionally less time making timely policing decisions.

As an example, the Daily Crime Review, delivered to the WA Deputy Commissioner of Police every morning, comprises a 15 minute verbal briefing from his staff officer outlining the significant criminal incidents from the past 24 hours. Incidents mentioned in this briefing are judged significant based on details such as the suspects and victims involved, harm inflicted on officers, and perceived threat to community safety. Currently, the preparation of this Daily Crime Review takes more than 60 minutes; an onerous task since the backgrounds of around 600 criminal incidents must be reviewed, contextualised, and synthesised each morning by hand.

In this talk I’ll describe our Bayesian belief network for modelling crime incident significance, as perceived by the Deputy Commissioner. Our model attempts to encapsulate the intuition of the officers who routinely prepare the Daily Crime Review as they screen incidents; discovering their thought processes through structured and unstructured interviewing and observation. In testing, the resultant model rapidly classifies approximately three quarters of incidents as ‘insignificant’ therefore saving staff officers the effort of delving any deeper into those incidents. Planning is underway to further refine this model and eventually develop an app accessible to officers.

 

Bio:

Shih Ching is a Masters student in Mathematics at Curtin University who in 2019 undertook a project with WA Police, the subject of this presentation.

With a background in computer science, he’s returned to study statistics after a varied career in academic research, enterprise software development, and product management at a tech start-up. His newly discovered zeal for applied statistics means he’s super keen to learn new techniques and work on cross-disciplinary projects. Bayesian networks are his latest fixation but logistic regression is his first love.

When off campus, his time is normally distributed between his children, wife, and his 3-iron.

The presentation will be followed with a networking opportunity.

 


Past Events

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

CIC Research Symposium 2019

Date: December 12, 2019

Time: 9:30 am - 12:30 pm

Location: Curtin University, Building 200A, Room 220, Bentley

CIC Research Symposium 2019

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

Time: 1:30 - 3:00 pm

Location: Innovation Central Perth, Building 216 Room 204, Curtin University, Bentley Campus

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December CIC Research Seminar

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

Time: 9am-5pm

Location: Curtin University, Bentley Campus

December 2019 Software Carpentry Workshop – Python and R

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

Time: 3:00 - 4:30 pm

Location: Innovation Central Perth - Building 216 Room 204, Level 2 Curtin University, Bentley Campus

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November CIC Research Seminar 2

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

Time: 10:30 - 11:30 am

Location: Innovation Central Perth, Building 216 level 2

RNT November 2019

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

Time: 1:00 - 2:30 pm

Location: Innovation Central Perth - Building 216 Room 204 Level 2, Curtin University, Bentley Campus

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November CIC Research Seminar

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

Time: 1:30 - 3:00 pm

Location: Innovation Central Perth - Building 216 Room 204, Level 2 Curtin University, Bentley Campus

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October CIC Research Seminar 2

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

Time: 2:30 - 4:00 pm

Location: Innovation Central Perth - Building 216 Room 204, Level 2 Curtin University, Bentley Campus

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October CIC Research Seminar

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

Time: 10:30 - 11:30 am

Location: Innovation Central Perth, Building 216 level 2

RNT October 2019

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

Time: 10:30 - 11:30 am

Location: Innovation Central Perth, Building 216 level 2

RNT September 2019

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