Research Projects
The potential for indium mineralization in the Herberton Mineral Field, NE QLD (Old ID 26820)
Ioan Sanislav
05 Apr 2020 - 31 Jan 2024
The project aims to: 1. Investigate the mineralogy, paragenesis and geochemistry of indium at the Baal Gammon deposit and other similar occurrences in the region; 2. Determine the distribution of indium in the host rocks; 3. Identify the factors controlling the location and formation of the indium mineralisation and; 4. Discover mineralogical, textural and geochemical zoning patterns that could be used as vectors to ore. In so doing, we will identify the factors controlling the location and formation of the indium mineralization in association with tin-tungsten and polymetallic ore deposits. A geological model will be developed for use in exploration targeting.
APRICOT-NQ: Advancing Pressure Injury Risk Classification & Outcome Testing - North Queensland
Rachel Walker
01 Jul 2025 - 30 Jun 2027
• Pressure Injury (PI) continues to be a major problem: In Australia, PI is a significant hospit al-acquired complication requiring early clinical intervention(3). Hospital-acquired PI (HAPI) are a persistent and serious patient safety threat(1, 3) and financially burdensome. HAPI prevalence remains high (between 8-10%(4, 5), and the cost is substantial, estimated to be $9 billion per year in Australian public hospitals(6).
• Current risk assessment is inadequate: Existing tools like the Waterlow Score and Braden Scales(7, 8) are outdated, subjective, and lack robust validation(9). They were developed using small samples and without advanced statistical methods(10, 11). This raises ethical concerns about their continued use.
• Need for better solutions: A new approach is therefore urgently needed to bridge this gap in knowledge to accurately classify PI, their risk factors and effective prevention strategies.• Machine learning challenges: While AI and machine learning offer potential solutions, they are hampered by the poor quality of existing PI risk assessment data(9); exemplifying the "garbage in, garbage out" principle.
• Data quality issues: PI documentation is often free text, incomplete, and inaccurate, further complicating the problem. This unstructured data makes it difficult to train reliable machine learning models.
Community Insights survey content development (Old ID 26884)
Stewart Lockie
01 Jun 2020 - 01 Aug 2020
Development of a conceptual framework and associated scales, informed by contemporary developments in environmental sociology, to guide Community Insights Surveys and contribute to the evidence base for measuring progress against social goals embedded in the DPIE outcomes framework and the NSW Climate Change Policy Framework.
Mary Integrated Project: Upper Mary dairy water quality
Zoe Bainbridge
27 Nov 2025 - 30 Jun 2027
Collaborate with MRCCC to design and manage the Upper Mary dairy water quality monitoring sub-project, under the Mary Integrated Project. Support MRCCC with the co-design and coordination of the monitoring project, including water quality data compilation, storage and analysis, and water quality science engagement with the Upper Mary dairy industry.
Near Infrared Spectrometer in Crab Fattening Index Measurement
James Loh
01 Nov 2025 - 31 Oct 2026
The project aims to conduct measurements of the crab fattening index, carried out by research students from JCU.
Between Battles: Commemorating the Cultural Lives of Soldiers
Claire Brennan
01 Jan 2015 - 01 Jan 2015
grant
FLARE – Federated Learning for AI-Based RRR Engagement
Adrian Shatte
01 Jul 2025 - 30 Jun 2026
FLARE – Federated Learning for AI-Based RRR Engagement, will develop a smartphone-based AI system for mental health support in RRR communities. FLARE will enable adaptive, privacy-preserving mental health support (screening, diagnosis, and treatment) on mobile devices, reducing barriers to access, stigma, and service availability in the regions JCU serves.
Southern Whiteface Research Project
Lyanne Brouwer
01 Jul 2025 - 01 Aug 2028
This project aims to monitor Southern Whiteface (SWF) populations to understand its genetic diversity, population size, and differentiation, and to clarify subspecies status using molecular genetics. It also investigates landscape-scale factors—such as vegetation and climate, including extremes—that influence SWF distribution. Additionally, it evaluates the health of populations by measuring parasite loads, nutritional condition, and body reserves.
Differential effects of sequential disturbances on the structure and function of reefs across the continental shelf (Old ID 27475)
Eva McClure
01 Apr 2022 - 31 Mar 2023
On the Great Barrier Reef, the greatest distinction in benthic composition and herbivorous fish assemblage structure and function is found across the continental shelf, among inner-, mid- and outer-shelf reefs. Yet our understanding of how these unique assemblages respond and re-form following disturbances is limited. This project investigates changes in benthic composition and the structure, function and behaviour of herbivorous fish assemblages on inner-, mid- and outer-shelf reefs following multiple cyclone and bleaching events from 2015-2017. In doing so, this project will provide the first longitudinal study of cross-shelf assemblages and processes and improve understanding of reef recovery.