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Upcoming Events

RNT
Research Networking Tea 20th July 2022 –
Research software engineers: The unsung heroes of scientific projects!
Join us at the Curtin Institute for Computation (CIC) for our Research Networking Tea

Date: Wednesday, 20 July 2022

Time: 2:00pm – 3:00pm

Location: CIC, Curtin University Bentley Campus, Building 216, Level 2, ICP Collab Area

Tickets: Free (spaces limited)

Registration: Please register your ticket at Eventbrite

Cancellations: Due to the high demand for tickets, please email us if you need to cancel.

Ticket Holders who do not cancel their tickets will be unable to attend future CIC events.

Contact: Blaine Campbell for any queries

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 utilise data science and computation through specific examples of applied data science given by CIC collaborators.

Agenda for Wednesday, 20 July 2022:

2:00pm-2:15pm (10min talk 5min Q&A) ‘How solid software architecture will save the World: The COKI story’ by Professor Cameron Neylon – Professor of Research Communication at Curtin’s Centre for Culture and Technology.

2:15pm-2:30pm (10min talk 5min Q&A) ‘Taming the data deluge: How software engineers and radio astronomers need to work together to uncover the mysteries of the Universe’ by Professor Melanie Johnston-Hollitt – Director of Curtin Institute for Computation.

2:30pm-3:00pm Refreshments and networking opportunity

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 on the day or via email: CurtinIC@curtin.edu.au

Register Now!


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

 

Learn More

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.


d

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

August CIC Research Seminar 4

Date: August 28, 2019
Location: Innovation Central Perth - Building 216 Room 204, Level 2 Curtin University, Bentley Campus
CIC Seminar | Networking
research-seminar-768×205

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

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
Location: Innovation Central Perth, Building 216 level 2
CIC Seminar | Networking
research-seminar-768×205

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
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

August CIC Research Seminar

Date: August 5, 2019
Location: Innovation Central Perth- Building 216 Room 204, Curtin University, Bentley
CIC Seminar | Networking
Seminar_img

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
Location: Think Space, Building 103, Room 109, Curtin University, Bentley
CIC Seminar | Networking
f252c2dd-d8d5-4ac0-bea6-8247d7693eed

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
Location: Innovation Central Perth- Building 216 Room 204, Curtin University, Bentley
CIC Seminar | Networking
research-seminar-768×205

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
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

ResBaz Perth 2019

Start date: July 2, 2019
End date: July 4, 2019
Location: Curtin University Medical School, B410, Bentley Campus
Training
ResBaz_transparent2

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)

RNT June 2019

Date: June 13, 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