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August

This month's newsletter focuses on Translation Theme 4 - Support the

Organisation

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 the BHP representative on the Strategic Risk and Reporting Board. , and
Nick Ettlinger, who has joined Theme 2 to complete undertake a Masters research project with Ryan Leadbetter and Aloke Phatak at Curtin University.

We welcome back Yingying Yang, who has returned from parental leave to complete continue 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 and organisations to drive data science innovation.

Theme 4 Activities

Data Fit Organisation

In newsletter issue 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 CORE SkillsInnovation Hub 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: workshop, Data Fitness for your Organisation, at the 2022 Data Science for Business 2022Conference 2022 Conference & Exhibition.

The two-day event brought together a diverse group of WA industry professionals to explore how AI, Machine Learning and Advanced Analytics machine learning and advanced analytics can be used for business innovation and growth. Their Eden and Zane's workshop covered the foundations of a Data Fit Organization Fit Organisation (DFO) and shared the Data Workflow Method, which aims to improve data capability across organisations.

Eden and Zane introduced the ability to define, measure, and uplift data capability. They explored why data science must shift from being project-based to being fully integrated with workflows and value delivery. Their message is that 'Data Fitness' is critical to delivering value through data.

View file

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Future activities associated with

this research:

the DFO

Melinda Hodkiewicz will present

this work

the DFO in September

as part of

in a webinar

series

organised by the Alan Turing Institute

.

,
Eden Li has written a paper

based

on

this project

the DFO and is in the process of submitting

this paper

it for publication

.

, and
Eden and

Core have an abstract accepted for

CORE will be presenting a paper on DFO at the 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 focuses on factors that enhance or hinder data science innovations. Her case study research is based on our uses examples from the data science projects carried out by the Centre's researchers and industry practitioners working on data science projectspartners.

Eden recently submitted the outcomes of her research to to Technovation, an international journal of technical innovation, entrepreneurship and technology. The study highlights the criticality of creating an innovative capability for an organisation. She identifies that innovative ability is derived from the dynamic integration of evolving organisational strategies enabled by collaborative and engaged team members with relevant knowledge, skills and attributes.

We look forward to seeing her paper published soon.

Theme four 4 is also researching the future work self- perceptions of industry-focused PhD students about future work. 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 are interested in participating in this study, please indicate your interest through this link. 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

usage - a prize winning study!

In newsletter issue Newsletter Issue 9, we discussed Eden's mapping of the capabilities needed for maintenance supervisors to adopt and support their team's uptake of data science solutions. Eden's Her study identified that out of the four types of capability conceptualised, foundational skills and integration skillsare were 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. They are:

Ensure Ensuring basic tasks are completed proficiently.,
Keep Keeping a problem-solving mindset., and
Maintain Maintaining 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 , and her paper, 'Building a data-driven future for construction teams. Capabilities matter', won in two categories. Congratulations Eden!

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 In collaboration with CORE Skills, Melinda Hodkiewicz and Tyler Bikaun developed a training program focused on applying data science and technical language processing techniques to reliability measuresmaintenance work orders. The course provided participants will develop with a toolkit to validate and optimise maintenance strategies and value for physical assets. The six-week program is was devised 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 the Centre piloted the program with one of our industry partnersRoy Hill staff, and we look forward to providing you with summarising the training outcomes in our the November issuenewsletter.