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August's newsletter focuses on Translation Theme 4 - Support the Organisation
IN THE SPOTLIGHT
Congratulations to Tim French on his promotion to Associate Professor, School of Physics, Maths and Computing, Computer Science and Software Engineering at UWA.
Team News
New members joining the Centre in August include:
- Manuel Cifuentes, our new BHP representative on the Strategic Risk and Reporting Board.
- Nick Ettlinger has joined Theme 2 to complete a Masters research project with Aloke Phatak at Curtin University.
We welcome back Yingying Yang, who has returned from parental leave to complete her PhD research.
THEME 4 - SUPPORT THE ORGANISATION
In the February edition of the newsletter, we described how Theme 4 is supporting the implementation of data science innovations developed by the Centre into the workplace.
Lets check in again to see how Theme 4 has been working with our Centre's researchers and industry partners to:
- identify critical factors that enhance or hinder the successful implementation of data science innovation and;
- investigate the capabilities required for both individuals and organizations to unleash the potential of the above-mentioned critical factors, thus in turn drive data science innovation.
Theme 4 Activities
In newsletter issue 9 we introduced the holistic data capability framework and tool to map, assess and improve data capability for all data roles within an organisation. The model, developed by by CORE Skills and and Eden Li, is unique in integrating 'social' capital, or culture, with skills, technology, and behaviours.
Based on this research, Eden Li and Zane Prickett from Core Innovation Hub facilitated an engaging Workshop: Data Fitness for your Organisation at the 2022 Data Science for Business 2022Conference & Exhibition.
The two-day event brought together a diverse group of WA industry professionals to explore how AI, Machine Learning and Advanced Analytics can be used for business innovation and growth. Their workshop covered the foundations of a Data Fit Organization and shared the Data Workflow Method to improve data capability across organisations.
Eden and Zane introduced the ability to define, measure, and uplift data capability - 'Data Fitness' is critical to delivering value through data. They explored why data science must shift from project-based to fully integrated with workflows and value delivery. . Their message is that 'Data Fitness' is critical to delivering value through data.
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Future activities associated with this research:
Melinda Hodkiewicz will present this work in September as part of a webinar series organised by the Alan Turing Institute.
Eden Li has written a paper based on this project and is in the process of submitting this paper for publication.
Eden and Core have an abstract accepted for World Mining Congress, 2023; they will follow up with a full conference paper. We look forward to seeing this published soon.
Human Side of Data Science Innovations
Eden Li's research research focuses on factors that enhance or hinder data science innovations. Her case study research is based on our Centre's researchers and industry practitioners working on data science projects.
Eden recently submitted the outcomes of her research to Technovation to Technovation, an international journal of technical innovation, entrepreneurship and technology. The study highlights that successful innovation requires organisational, social, and human factors that combine to create the criticality of creating an innovative capability of for an organisation. More specifically, this innovative capability She identifies that innovative ability is derived from the dynamic integration of evolving organisational strategies into ongoing business, enabled by collaborative team processes and engaged organisation team members with relevant knowledge, skills and attributes. Not only organisational routines and standardised workflows but also collaborative team processes achieved by people with appropriate skills are critical for the success of data science innovations.
We look forward to seeing her paper published soon.
Theme four researchers are four is also researching the future work self-perceptions of industry-focused PhD students. The results of this project should contribute to a deeper understanding of university-industry collaborations, proactivity and well-being of industry-based PhD students. The project is a pilot study that will establish the viability of exploring this psychological construct in a large-scale sample.
Opportunity for PhD students to participate in this research.
If you are a PhD student on an industry placement and you are interested in participating in this study, please indicate your interest through this this linkbelow. The research team will follow up with you for interview dates.
We expect the outcomes of this study to contribute to a longer-term project.
Leader data capability and team data usage
In newsletter issue 9, we discussed Eden's research to map mapping of the capabilities needed for maintenance supervisors to adopt and support their team's uptake of data science solutions. Eden's study identified that out of the four types of capability conceptualised, foundational skills and integration skillsare vital in improving data awareness and usage.
To enhance the understanding of the association between supervisor capability and team data usage Eden broadened her range of industries and roles to include construction project managers.
Construction project managers (CPMs) lead in creating innovative ways for successful project delivery. Thus, an increasing need to understand the capabilities of a CPM that are important for developing a data-driven team in which the potential of data is highly valued, and analytics are successfully leveraged to enhance project efficiency. Based on data collected in the construction industry, the top three CPMs capabilities which were strongly correlated to project team data usage were identified:
- Ensure basic tasks are completed proficiently.
- Keep a problem-solving mindset.
- Maintain a high ethical standard when capturing and using data.
This study maps the skills and training required for future-oriented CPMs. Eden presented her researchat the World Building Congress 2022.
Eden's paper, 'Building a data-driven future for construction teams. Capabilities matter', won in two categories.
- Best Paper in Technology & Innovation
- Best Paper in Challenges and Opportunities to the Use of Data in Construction
Data Science for Reliability Engineers
Supported by CORE Skills, Melinda Hodkiewicz and Tyler Bikaun developed a training program focused on applying data science and technical language processing techniques to reliability measures. The course participants will develop a toolkit to validate and optimise maintenance strategies and value for physical assets. The six-week program is for anyone responsible for driving reliable outcomes at industrial sites, specifically reliability engineers, maintenance managers and planners. If you would like to preview some of the materials for this course, please use the following link.
During August, we piloted the program with one of our industry partners, and we look forward to providing you with the training outcomes in our November issue.
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