College of Business, Law & Governance
Carrie Wilson
- Senior Research Officer
- carrie.wilson1@jcu.edu.au
Louise Floyd
- Associate Professor
- louise.floyd@jcu.edu.au
Karnika Bansal
- Lecturer
- karnika.bansal@jcu.edu.au
Skye Zhu
- Lecturer, Financial Accounting/Auditing
- skye.zhu@jcu.edu.au
Diana Castorina
- Lecturer, Economics
- diana.castorina@jcu.edu.au
Zhanming Liang
- Professor, Health Systems Management & Policy
- zhanming.liang@jcu.edu.au
Siggi Gudergan
- Professor of Strategy
- siggi.gudergan@jcu.edu.au
Barry Yau
- Lecturer, Law
- barry.yau@jcu.edu.au
Eijaz Khan
- Adjunct Senior Lecturer
- eijaz.khan@jcu.edu.au
Arusha Cooray
- Adjunct Professorial Research Fellow
- arusha.cooray@jcu.edu.au
Develop a deployable hardware and firmware control system (Old ID 26806)
Develop an integrated Agriculture control systems solution that will increase functional flexibility with more inputs, outputs using low energy, long range communications networks and low energy, longrange sensing devices for large area multi-farm applications.
Smart Ear Tag for Livestock (Old ID 23414)
CeresTag is investing in the development of a smart ear tag for livestock to enable near real-time geo-location and health monitoring. The developed ear tag will be compliant with the current NLIS identification system and cost only marginally more than existing tags. This technology will revolutionise the industry through enhanced animal welfare, improved land management practices and increased profitability. It will form the starting point of block chain traceability that will underpin the continued success of this important component of the Australian economy and help maintain the premium status of Australian livestock products.
RP228 Landholder Stewardship Research to understand the human dimensions influencing land management practice change in Great Barrier Reef catchments (Old ID 27051)
Focussing on the sugarcane and grazing industries in GBR catchments, this project will address Reef 2050 Water Quality Improvement Plan knowledge needs by synthesising existing knowledge around human dimensions and improved land management practice adoption. It will explore potential solutions to several knowledge gaps through a number of discrete, multilayered and integrated action-based research foci (ABRF). The focus of targeted investigations emerging from the literature review include: a) causes of transaction costs incurred by graziers when improving land management practice (and approaches to overcome these); b) the impact of social capital, trust and power dynamics on technology adoption (cane growers) and c) grazier perceived and actual risk of engagement in improved land management practices and programs.
The Solar Rebound and Renewable Energy Adoption in the Sunshine State (Old ID 27450)
This research seeks to understand consumers' motivations for, and barriers to, installing rooftop solar and battery storage and to model the factors that drive and mitigate the solar rebound effect.
Enhanced landscape scale management of feral pigs and buffalo in large remote landscapes with new technologies enabling real-time data, modelling and analytics (Old ID 23595)
In remote Northern Australia properties are vast with limited seasonal access. In these large connected landscapes feral pigs and buffalo are controlled on an annual basis with limited success despite significant investment in time and money. Here we propose to develop an Internet of Things low power network connected with advanced low cost tracking devices and big data analytical techniques to develop a real time pest species tracking system including environmental sensors. Using these data, scientists and land managers will work together to develop end user products that will be used to inform strategic integrated pest management programs.
Queensland Additional Node of the Commonwealth Data Storage Infrastructure (RDSI) Project Providing Critical Infrastructure for Very Large Scale Research Data to Queensland Research (Old ID 21122)
QCIF will establish and operate an additional node at JCU for the national RDSI research infrastructure data storage program. This node will store massive volumes of medical, environmental and other research data produced by modern instruments, sensors and tools. Immediate priorities are tropical research into eradicating mosquito-borne diseases including malaria environmental monitoring and species distribution data and climate change impact modelling.
Improved feral cattle and buffalo herd management for environmental and economic benefits in remote Northern Australia (Old ID 26983)
The project aims to develop improved feral cattle and buffalo herd management for environmental, biosecurity and economic development in remote Northern Australia. It includes the following core components: 1) Development of a smart ear tag using GPS and Kineis satellite telemetry (France) - JCU lead agency 2) Testing and development of the ear tag at Fletcherview Research Station (approx. 100 animals) - JCU lead agency 3) Development of management tools for geolocation data - CSIRO lead agency 4) Deployment of tags on 1000 feral Buffalo and Cattle in the NT - CSIRO/NAILSMA 5) Development of on-ground capacity for herd management within indigenous community organisations - JCU/NAILSMA
Early detection of asset failure using Machine Learning (Old ID 26476)
Develop an artificial intelligence (AI) model to anticipate the likelihood of catastrophic failure of civil assets (eg bridges). This includes validation of code to support the AI processing of real-time data measured from large civil infrastructure such as bridges and assessing the viability of using low-cost IoT sensors to monitor asset health in real-time.
e-beef Evaluation Project. (Old ID 27641)
The project will evaluate the outcomes of the e-beef Project. The e-beef project worked with selected grazing businesses (Smart Farms) and groups of grazing businesses (Innovation Hubs) in regional Qld to demonstrate and trial innovative technologies that aimed to improve the accuracy and timeliness of livestock perfrmance and pasture data. It was expected that the e-beef project would assist grazing businesses to make informed management decisions based on recorded data. The e-beef evaluation project outsomes will inform future research and activity in Innovation and Commercialisation Projects.
Digital Extension Toolbox (Old ID 26535)
To encourage practice change in agriculture, DAF extension staff must be able to leverage "social" to deliver targeted and timely messages to discreet stakeholder groups at the hyper-local, project or peer level. This proposal is for the creation of a Digital Extension Toolbox, inclusive of a Community of Practice and Best Practice guidelines: a dynamic action-learing and risk management project designed to nimbly support staff in performing their work agilely over social engagement channels. Thisis is a pilot, desinged as an agile sprint, running from Feb-Jun 2019. During this time, we will develop a Best Management Practice (BMP) for each of four social engagement channels. Once a BMP has been deemed ready for trial, we will develop a Community of Practice and intiate a live trial. Online activity will be monitored, engagement metrics collected and oversight propvided by our 'Toolbox Investors': a matrix of committed internal stakeholders. The end goal being to provide DAF extension staff with a Toolbox full of relevant social media tools and instructions for their safe use.
Analysing qualitative case study evidence: the case of management accounting research
- 2004
- Anmol Publications
- Researchers:Rafiuddin Ahmed
The semantic reef: managing complex knowledge to predict coral bleaching on the Great Barrier Reef
- 2007
- Researchers:Ian Atkinson
Start Date:
08 Nov 2016
Title:
James Cook University researchers hard at work on scientific breakthroughs, Townsville Bulletin
Start Date:
29 Jan 2017
Start Date:
14 Jan 2020
Start Date:
09 Nov 2020
Start Date:
01 Jan 2021
End Date:
01 Jan 2022
Start Date:
01 Jan 2017
End Date:
01 Jan 2018
Start Date:
01 Jan 2009
End Date:
01 Jan 2013
Start Date:
01 Jan 2006
End Date:
01 Jan 2008
Start Date:
01 Jan 1999
End Date:
01 Jan 2002
Title:
PhD, Curtin University