Event Archive
Sustainability through Data Science: Applications in Marine Science
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Learn how to tackle your sustainability challenges through data science and analytics!
Join the Curtin Institute for Computation (CIC) in a live webinar to showcase how the CIC has leveraged machine learning, big data analytics, high performance computing, and AI to solve sustainability problems for industry in marine science, ecology, and conservation.
If you are responsible for your organisation’s sustainability program, in environmental science or ecology, have a vested interest in saving our planet, plants, and animals, or understand the power of data but don’t know where to start, this event is for you.
Registration is free but essential to receive the webinar link and recording
Research Networking Tea: Data Science for Digital Health – Improving the Future of Medicine
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Date: Wednesday, 19th October 2022
Time: 2:00pm – 3:00pm
Location: CIC, Curtin University Bentley Campus, Building 216, Level 2, ICP Collab Area
Tickets: Free (spaces are 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 this event is to foster collaboration and interdisciplinary research in the digital innovation space, including data science, high-performance computing, machine learning, and artificial intelligence. The Research Networking Tea aids researchers in better understanding the diverse applications of data science and computation through examples given by CIC collaborators.
Agenda for Wednesday, 19th October 2022:
2:00 – 2:15 pm (10 min talk, 5 min Q&A)
Talk: ‘Chronic Kidney Disease: Finding an invisible burden’
Speakers: Dr Libby Thomas – Faculty of Health Sciences, Curtin School of Population Health
2:15 – 2:30 pm (10 min talk, 5 min Q&A)
Talk: ‘Collection of cancer staging in the WA Cancer Registry: A Natural Language Processing and Machine Learning approach’
Speaker: Richard Trevithick – Department of Health
3:30 – 4:00 pm
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.
Contact: For any queries or cancellations, please email Blaine at CurtinIC@curtin.edu.au
Research Networking Tea: Research software engineers: The unsung heroes of scientific projects!
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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
Research Networking Tea: Machine Learning: NOT the answer to everything!
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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.
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.
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.
Software and Data Carpentry Workshops in Python and R – November 2021
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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.
Research Networking Tea on Tuesday, 31st August, from 2:00 – 3:15 pm at the CIC – “Data Science in Astronomy”
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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.
Virtual Research Bazaar from 28th June – 02nd July 2021
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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
Research Networking Tea
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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.
Software and Data Carpentry Workshops in Python and R – March/April 2021
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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.
Past Events before 2021
The course is aimed at Curtin 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:
- Data analysis and visualisation in R
Registration is required.
The course is aimed at Curtin 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:
- Data analysis and visualisation in Python
Registration is required.
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
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
We are offering free registration to a virtual Data Carpentry Workshop in Python, held from 8.45 am – 12:30 pm on the mornings of Wednesday May 27 and Thursday May 28.
Registration is free, but if you can no longer attend please refund your ticket so we may offer the place to someone else (places are limited).
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:
- Data analysis and visualisation in Python
Due to COVID-19 social distancing requirements, our planned 3 day in-person workshop has been cancelled. In its place, we would like to offer free registration to a trial one-day virtual Data Carpentry Workshop held on April 22 2020.
Registration is free, but if you can no longer attend please refund your ticket so we may offer the place to someone else (places are limited).
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:
- Data analysis and visualisation in R
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
The Promise of Learning Analytics and the Search for Evidence
Presented by Prof Dirk Ifenthale
Abstract:
Since a decade, the potentials of learning analytics for educational organisations have been discussed, however, there remains a lack of organisation-wide examples demonstrating a systematic and holistic adoption of learning analytics. Accordingly, actionable frameworks and adoption models focusing on learning analytics are required for successful integration of learning analytics systems into educational organisations.
Current research and practice shows that higher education organisations are aware of learning analytics and start experimenting with dashboards for students and teachers, however, they are far from organisational transformation. Hence, rigorous empirical evidence on the successful usage of learning analytics for supporting and improving students’ learning and success in higher education is still lacking.
A recent systematic review with an initial set of 6,220 articles and a final sample including 46 key publications will be discussed. The findings obtained suggest that there are a considerable number of learning analytics approaches which utilise effective techniques in supporting study success and at-risk students of dropping out.
Despite the high interest, the adoption of learning analytics in educational organisations requires capabilities not yet fully realised.
Bio:
Dirk Ifenthaler is Professor and Chair of Learning, Design and Technology at University of Mannheim, Germany and UNESCO Deputy Chair of Data Science in Higher Education Learning and Teaching at Curtin University, Australia.
Dirk’s research focuses on the intersection of cognitive psychology, educational technology, data analytics, and organisational learning. His research outcomes include numerous co-authored books, book series, book chapters, journal articles, and international conference papers, as well as successful grant funding in Australia, Germany, and USA.
He is the Editor-in-Chief of the Technology, Knowledge and Learning, Senior Editor of Journal of Applied Research in Higher Education, and Deputy Editor-in-Chief of International Journal of Learning Analytics and Artificial Intelligence for Education.
The one hour presentation will be followed by a networking opportunity.
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
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.
If you are interested in any further information on our past events, please contact the CIC team.