Skip to main content

Upcoming Events

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 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

 


Past Events

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

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

August CIC Research Seminar 4

Date: August 28, 2019

Time: 2:30 - 16:00 pm

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

|

August CIC Research Seminar 4

Household Portfolio Allocation, Uncertainty, and Risk

Presented by Professor Sarah Brown

Abstract:

Analysing the Panel Study of Income Dynamics and the Health and Retirement Study, we investigate the extent to which US households reduce their financial risk exposure when confronted with background risk. Our novel modelling approach, termed a deflated ordered fractional model, quantifies how the overall composition of a household portfolio with three asset classes adjusts with background risk, and is unique in recovering for any given risky asset class the shares that are reallocated to each safer asset category. Background risk exerts a significant impact on household portfolios, inducing a flight from risk, from riskier to safer assets.

Bio:

Sarah graduated from the University of Hull (1989), gained her MA in Economics at the University of Warwick (1990) and her PhD from the University of Loughborough and was appointed to a lectureship there (1994). She gained promotion to a senior lectureship in 2001 at University of Leicester. In 2005, she accepted a position as Chair in Economics at the University of Sheffield and was Head of Department 2006-2011. She is a director of the Institute for Economic Analysis of Decision-making (InstEAD), a Research Fellow at the IZA (Institute for the Study of Labour, Bonn) and an Associate Fellow at the Sheffield Political Economy Research Institute (SPERI). She has been a member of the Department for Work and Pensions Steering Committee for the Work, Pensions and Labour Economics Study Group (WPEG) since 2001.

Sarah was a member of the Grant Assessment Panel C of the Economic and Social Research Council 2010-2013, member of the Research Excellence Framework 2014, Economics & Econometrics Sub-Panel, member of the Women’s Committee of the Royal Economic Society 2010-2015, member of the Steering Group of the Royal Economic Society Conference of Heads of University Departments of Economics 2010-2016 and member of the Royal Economic Society Council 2013-2018.

Sarah’s research interests lie in the area of applied microeconometrics focusing on labour economics including wage determination, the economics of education and household finances including financial decision-making and vulnerability over time. In 2012 Sarah was awarded a two-year Leverhulme Trust Major Research Fellowship for a project entitled Household Finances, Intergenerational Attitudes and Social Interaction. Since March 2015, Sarah has been an Independent Member of the Low Pay Commission, which is the independent body that advises the UK government on the National Living Wage and the National Minimum Wage.

Networking opportunity will follow the presentation.

August CIC Research Seminar 3

Date: August 21, 2019

Time: 1:00 - 2:00 pm

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

|

August CIC Research Seminar 3

Improving the Success of Your Supercomputing Applications

Presented by Professors Julian Gale, Andrew Rohl, and Igor Bray

Abstract:

For many Curtin Institute for Computation researchers, access to supercomputing resources is critical. In Australia, we are reasonably well served by two national supercomputing centres; NCI and Pawsey. Although both centres are currently in the midst of upgrades, competition for access is increasing every year as more and more researchers turn to supercomputing as part (or all!) of their workflow. Curtin researchers traditionally have done well in being successful in attracting large amounts of supercomputing time in competitive allocations, although this has been through a relatively small number of research groups. In this seminar we will cover:

  • What resources are available
  • What schemes you can apply for
  • How to write a good application for each scheme
  • Strategies for maximising your success
  • Where to get help with your proposal

Note that the major schemes are all running significantly earlier this year; 2nd August to 20th September. This seminar has been timed so that you have plenty of time to put your learnings into practice!

Speakers:

Julian Gale is an ARC Laureate Fellow and Professor of Computational Chemistry. He served on the National Computational Merit Allocation Committee for 12 years and was Chair of the committee for the final two years.

Andrew Rohl is the Director of the Curtin Institute for Computation and the former Director of iVEC (now the Pawsey Centre). He is the outgoing chair of the Pawsey Partner Merit Allocation Committee and has been a member of the National Computational Merit Allocation Committee.

Igor Bray is a John Curtin Distinguished Professor and Head of Physics and Astronomy at Curtin. He is currently on the National Computational Merit Allocation Committee and has been using Australia’s supercomputing resources since the late 1980s, typically obtaining around 10M SU annually.

August CIC Research Seminar 2

Date: August 13, 2019

Time: 12:00 pm – 1:00 pm

Location: Innovation Central Perth, Building 216 level 2

|

August CIC Research Seminar 2

Advanced data mining approaches to time-ordered data; with a focus on text mining and sequential patterns

Presented by Professor Maguelonne Teisseire

Abstract:

Data is usually heterogeneous, multiscale, spatial and temporal (time series of satellite images, digital terrain models, physical ground measurements, mobility databases, qualitative observations, tweets, news, scientific papers, etc.). Exploitation by experts of these huge volumes of complex data (big data) requires not only to structure it to the best methods, but also and mainly, to design data analysis and knowledge discovery methods.

Bio:

During this presentation, I will give an overview of my research works on multimodal data mining (sequential patterns, spatial analysis, text mining) with a particular focus on environmental and health applications. Maguelonne Teisseire is currently a Research Professor-Irstea and joined the TETIS laboratory in

March 2009 where she has been Head of Information System and Knowledge Discovery Group since. She received a Ph.D. in Computing Science from the Méditerranée University, France, in 1994, with research interests focused on behavioral modeling and design. During 1995- 2008, she was an Assistant Professor of Computer Science and Engineering in Montpellier II University and Polytech’Montpellier, France, was Head of the Computer Science Department during 2006 to 2008 and headed the Data Mining Group at the LIRMM Laboratory Lab, Montpellier, France, from 2000 to 2008.

Her current research interest focus on advanced data mining approaches when considering that data are time ordered. She is particularly interested in text mining and sequential patterns. Her research takes part on different projects supported by either the National Government (RNTL) or regional project. She has published numerous papers in refereed journals and conferences on either behavioral modeling or data mining.

The presentation will be followed by a networking opportunity.

RNT August 2019

Date: August 8, 2019

Time: 10:30 - 11:30 am

Location: Innovation Central Perth, Building 216 level 2

RNT August 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

August CIC Research Seminar

Date: August 5, 2019

Time: 2:00 - 3:00 pm

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

|

August CIC Research Seminar

Dr. Shihui Feng presents How Complexity Thinking Can Contribute to Learning Science

Abstract:

A holistic and newly systematic approach is required to understand individual learning in terms of the interactive effects of various actors (e.g. teachers, peers, parents as well as various levels of the self, agency and social nature of the individual) and technological artefacts in the learning context. The demand for measuring learning behaviour during the process rather than the learning outcomes afterwards is critical to timely effective interventions and facilitations.

Complexity, as a scientific and computational framework, offers the theoretical and methodological basis for discovering the hidden structures and modelling the non-linear dynamics of emergent behaviour in physical, biological, social, economic and technological systems.

This presentation will introduce the basic concept and principles of complex systems and discuss the connections and implications of complexity for understanding the dynamic and evolving learning behaviours across micro, meso and macro levels.

Bio:

Dr. Shihui Feng is currently a Lecturer in the Division of Information and Technology Studies at the Faculty of Education at the University of Hong Kong. Her research interest is on studying social behaviour, complex system, and social resilience in cyberspace. In particular, she is interested in studying the social effects on individual and collective behaviour with self-administrated data and large-scale online data from a network perspective.

She received her Ph.D. degree in 2018 from the University of Hong Kong. Prior to that, she received the Master of Science in system engineering and engineering management at the Chinese University of Hong Kong and Bachelor of Science in information management and information system at East China Normal University. She has also received training on complex systems, network analysis, and humanitarian responses from Santa Fe Institute, CMU, and Harvard.

The presentatioon will be followed by a networking opportunity

July CIC and ITTC Research Seminar

Date: July 29, 2019

Time: 2:00 - 3:30 pm

Location: Think Space, Building 103, Room 109, Curtin University, Bentley

|

July CIC and ITTC Research Seminar

Dr Maria Wolters presents The Hidden Stories of Missing Data

Abstract:

Missing data is often regarded as a nuisance. It is seen as something that occurs when people are careless when entering data, when users fail to understand simple procedures, or indeed when patients fail to comply with monitoring regimes. In this talk, I would like to argue against that view.

Instead, I suggest that missing data are a valuable indicator of problems with the underlying system. I will review the emerging literature that shows that missing data – be it missed entries in the Electronic Health Record, because a patient did not attend their appointment, or missed readings in a tele-monitoring service – usually point to a worsening of health, and unpack the implications of systemic sources of missing data on the use of wearables for health monitoring.

Bio:

Dr Maria Wolters is a Reader (Associate Professor) in Design Informatics at the University of Edinburgh and a Faculty Fellow at the Alan Turing Institute for Data Science and Artificial Intelligence, London, where she specialises in missing health data.

She has published over 85 peer reviewed papers in Human-Computer Interaction, eHealth, and Computational Linguistics. She is a Subcommittee Chair of the 2020 ACM SIGCHI conference on human-computer interaction, and on the Programme Committee of the ACM SIGASSETS conference on accessible technology.

The presentation will follow with a networking opportunity.

July CIC Research Seminar

Date: July 19, 2019

Time: 2:00 - 3:30 pm

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

|

July CIC Research Seminar

Dr. Shihui Feng presents Network Approaches to Understanding Social Interactions and Social Effects in Learning

Abstract:

Network science as an emerging and highly interdisciplinary field with the theoretical and methodological foundations drawn from physics, graph theory, sociology, and social psychology provides us a set of effective approaches to make sense of various complex systems in the real world. Learning can be regarded as a form of system-level social activity, in which interconnections and interdependences of multiple learning actors and artefacts are present. Network theories and methods offer approaches to analysing the underlying structural properties of social interactions at both individual and system levels. It can further provide insights into the dynamic changes of individual decision makings and performance influenced by social connections in learning.

This presentation will introduce the seminal studies of network science, basic network concepts and measurements, as well as two empirical studies on employing network approaches to studying peer advising relationship and group coordination and task allocation in collaborative learning.

Bio:

Dr. Shihui Feng is currently a Lecturer in the Division of Information and Technology Studies at the Faculty of Education at the University of Hong Kong. Her research interest is on studying social behaviour, complex system, and social resilience in cyberspace. In particular, she is interested in studying the social effects on individual and collective behaviour with self-administrated data and large-scale online data from a network perspective.

Dr Feng received her Ph.D. degree in 2018 from the University of Hong Kong. Prior to that, she received the Master of Science in system engineering and engineering management at the Chinese University of Hong Kong and Bachelor of Science in information management and information system at East China Normal University. She has also received training on complex systems, network analysis, and humanitarian responses from Santa Fe Institute, CMU, and Harvard.

Besides academic life, she enjoys playing piano and good food.

The presentation will be followed by a networking opportunity

RNT July 2019

Date: July 11, 2019

Time: 10:30 -11:30 am

Location: Innovation Central Perth, Building 216 level 2

RNT July 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

ResBaz Perth 2019

Start date: July 2, 2019

End date: July 4, 2019

Time: 9am-5pm

Location: Curtin University Medical School, B410, Bentley Campus

ResBaz Perth 2019

About ResBaz:

The Research Bazaar (ResBaz) is a worldwide festival promoting the digital literacy emerging at the centre of modern research. Throughout 2019 events will be held at a number of university campuses around the globe.

Perth’s ResBaz is a low-cost, 3-day intensive festival and (un-)conference where researchers come together to up-skill in next generation digital research tools and scholarship. 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.

ResBaz Perth 2019 will be held at Curtin University from July 2-4.

Training Available:

We are planning to run several parallel streams this year to cater to new as well as more seasoned learners. Training 1 will include the following options:

  • Intro to the command line and Version Control (Git)
  • Intro to structured data
  • Intro to Docker

Training 2 will be run on days 2 and 3 and includes (the level in the brackets refers to your familiarity with programming and not your knowledge of the topic):

  • Data analysis and visualisation with Python (beginner level)
  • Data analysis and visualisation with R (beginner level)
  • Intro to Machine Learning (intermediate to advanced level)
  • Genomics (specialisation, intermediate level)
  • Humanities, Arts, and Social Sciences (HASS specialisation, beginner level)