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Strengthening incentives for improved grassland management in China and Mongolia (Old ID 23364)
The aim of the project is to improve grassland management practices and pastoral livestock systems in China and Mongolia through research into the incentives driving these systems and the design of incentive based policies. Within this overall aim, there are three main objectives: (a) to design more efficient incentive schemes for improved grassland and livestock management in China; (b) to design more efficient incentives for improved livelihoods and grassland condition in Mongolia; and (c) to facilitate linkages between China and Mongolia for improving grassland management.
Evaluating the costs and benefits of agricultural land conversion to wetlands (Old ID 24988)
Government and private investors are increasingly interested in nitrogen reduction projects, particularly via conversion of land to wetlands. Investing in such projects requires understanding the environmental benefits to be accrued and cost-effectiveness. The best way to provide these data is to evaluate already constructed land-wetland conversion sites that resemble what future projects might look like. This project will collect data from previously completed land-wetland conversion sites, on construction and ongoing maintenance costs, and the water quality and biodiversity benefits. This project will generate explicit data for government and private investors to make informed decisions on future investments of this kind.
Incorporating fisheries, food security, livelihoods, and tourism in Marine Protected Area designs in Indonesia – Part 1: Scoping (Old ID 31112)
This scoping project funds the initial work of strengthening the relationships with Indonesian researchers and governments, with the long-term goal of generating the science and tools for designing and implementing marine protected areas that support Blue Economy (i.e., fisheries, food security, livelihoods, and tourism) in Southeast Asia and the Pacific.
Educating diverse learners for local/global citizenship: Curriculum and pedagogical frameworks that bring global perspectives from the periphery to the core (Old ID 21948)
Securing enhanced student outcomes associated with global understandings and perspectives is this project's focus. It seek to ascertain how best to utilise and augment students' current service learning experiences in domestic and international settings to realise these outcomes through a process of identifying, analysing and evaluating existing curriculum and pedagogic practices.
“Probably Science” live podcast tour (Old ID 26299)
We are proposing a Queensland live tour of the popular podcast “Probably Science” featuring local scientists in Feburary 2019. “PROBABLY SCIENCE” is a weekly comedy/science podcast with American comedian co-hosts Andy Wood and Matt Kirshen, both with STEM university degrees. The show focuses on the latest science with a light comedic atmosphere that imparts knowledge and humanises the research and researchers. The shows open with short performances from comedians alternating with local younger scientists. Then the main show involves the hosts and a featured senior researcher from a local University in a panel type discussion around the scientist’s expertise.
Health SDG targets (global mining town) (Old ID 26668)
The overall aim is to design interventions to support host communities the Sustainable development goal health outcome targets by 2030. The objectives are to: i) conduct a baseline assessment of existing data to estimate progress towards the health/wellbeing targets in the host countries (Peru, Australia, Canada, Chile and Southern Africa), ii) conduct baseline assessment in the host communities in relation to the SDG health and wellbeing targets, iii) design , cost and develop implementation plans for follow-on funding tailored interventions based on best practice evidence, to address the priority targets, iv) develop monitoring and evaluation frameworks to track progress
Ecological Impact of Antibiotic Resistance Released from the Cleveland Bay Purification Plant using Marine Turtle Species (Old ID 26730)
Cleveland Bay is a grazing ground for turtle species. Cleveland Bay Purification plant (CBPP) treats waste that may contain a variety of antibiotics. This study aims to determine the prevalence and distribution patterns of antibiotic resistant genes in the CBPP effluent and in the immediate receiving environment. Marine turtles in Cleveland Bay will be used to determine the localized impacts of both antibiotics and antibiotic resistant genes as compared to resident turtles from a pristine environment. This study will provide valuable insight into the direct effect that antibiotics and ARG’s in WWTP effluent have on ecological health and ecological risk.
Building Research capacity in bioarchaeology in Thailand (Old ID 26738)
Research in bioarchaelogy, the study of human remains from archaeological cemetery sites, has only a recent history in Thailand. As such, it is timely for a consolidated capacity-building approach to be undertaken in this research field. Associate Profesor Kate Domett is among one of only a handful of bioarchaeologists specialising in this area in mainland Southeast Asia and is well placed to lead a sustained and realistic expansion of collaboration between Thai researchers and their Australian counterparts.
Hidden histories of the teeth: The key to unlocking ancient secrets in prehistoric central Myanmar (Old ID 26945)
The aim of this project is to examine isotopes in the teeth of individuals from three sites in prehistoric central Myanmar to examine diet, the movement and migration of people, and potential patterns in post-marital residence, which are all intricately linked. Built on a strong conceptual framework this project seeks to generate new information in the field of archaeological science. The research outcomes of this project will expand our current archaeological knowledge of this focal but under-researched area, which will be of particular benefit in understanding Myanmar in relation to surrounding regions and the wider Southeast Asian context, and in fostering continued collegiality and collaboration with Myanmar scholars and communities.
Invasion Alert—A Machine Learning-based Platform for Invasive Ant Detection and Recognition (Old ID 27268)
For control/eradication measures to be effective, early detection of invasive ants is essential. Current conventional methods require taxonomic expertise and are time and labour intensive. This project will develop a vision-based platform that uses machine learning for the real-time detection and identification of established invasive ants in Australia. This will provide an automated, cost-effective monitoring tool that can speed up the detection and identification process, thus enable efficient and timely response to the potential spread of these species.